Innovative Algorithms
Algorithms to perform the real-time processing in the trigger and the reconstruction of both real and simulated detector data are critical components of HEP’s computing challenge. These algorithms face a number of new challenges in the next decade due to new and upgraded accelerator facilities, detector upgrades and new detector technologies, increases in anticipated event rates, and emerging computing architectures. Projects in the IA area are focused in three areas:
- Developing tracking algorithms for the HL-LHC
- Re-engineering algorithms for hardware accelerators
- Exploiting major advances in machine learning
Tracking for the HL-LHC is an area in particular need of novel approaches as it is expected to require a large fraction of the CPU budget. IA is working to develop more efficient and performant tracking algorithms. Hardware accelerators are expected to be the way forward to speed up reduce infrastructure cost. IA is exploring the use of hardware accelerators for tracking and the use of ML on accelerators in realistic HEP applications. In the area of machine learning, IA aims to capitalize on industry and data science techniques and tools. In particular, we are investigating new HEP applications of ML and to apply new ML techniques to HEP.
Contact us: ia-team@iris-hep.org
Current and Previous IA Fellows
IA Projects
Accelerators and ML for reconstruction
Accelerated calorimeter reconstruction using Machine Learning as a ServiceMore information
Archived
ACTS
Development of experiment-independent, thread-safe track reconstruction.More information
Development
IA Presentations
- 21 Oct 2024 - "Integration of the ACTS track reconstruction toolkit in the ATLAS software for HL-LHC operations", Carlo Varni, CHEP 2024 - Conference on Computing in High Energy Physics
- 18 Sep 2024 - "Software and Computing at CERN for the LHC and Beyond", Heather Gray, CERN School of Computing
- 5 Sep 2024 - "CMS Tracking: LST", Slava Krutelyov, IRIS-HEP Institute Retreat
- 24 Jul 2024 - "Performance Case Study: the mkFit Particle Tracking Code", Steve Lantz, Sixth Computational and Data Science school for HEP (CoDaS-HEP 2024)
- 24 Jul 2024 - "Introduction to Performance Tuning & Optimization Tools", Steve Lantz, Sixth Computational and Data Science school for HEP (CoDaS-HEP 2024)
- 24 Jul 2024 - "Vector Parallelism on Multi-Core Processors", Steve Lantz, Sixth Computational and Data Science school for HEP (CoDaS-HEP 2024)
- 22 Jul 2024 - "What Every Computational Physicist Should Know About Computer Architecture", Steve Lantz, Sixth Computational and Data Science school for HEP (CoDaS-HEP 2024)
- 4 Jun 2024 - "Upgrade Tracking Report", Carlo Varni, ATLAS ITk Meeting
- 20 May 2024 - "GPUs and Accelerators", Beomki Yeo, Computational HEP Traineeship Summer School 2024
- 18 May 2024 - "Traccc: GPU Track Reconstruction Library", Beomki Yeo, Workshop of Tracking in Particle Physics Experiments
- 3 May 2024 - "ACTS Integration Updates", Carlo Varni, ATLAS ACTS-ITk Meeting
- 1 May 2024 - "Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC, New approach based on Graph Neural Network (poster)", Simon Akar, European AI for Fundamental Physics Conference
- 30 Apr 2024 - "Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC, New approach based on Graph Neural Network (talk)", Simon Akar, European AI for Fundamental Physics Conference
- 30 Apr 2024 - "Reprise of ATLAS Lecture "GPU as a Hardware Accelerator"", Beomki Yeo, ATLAS Event Filtering Weekly (internal)
- 19 Apr 2024 - "Vectorizing matrix operations", Beomki Yeo, ACTS Parallelization Meeting
- 12 Apr 2024 - "mkFit", Slava Krutelyov, Phase-2 Software Days (CMS restricted)
- 12 Apr 2024 - "Line Segment Tracking", Emmanouil Vourliotis, Phase-2 Software Days (CMS restricted)
- 9 Apr 2024 - "GPU and Hardware Accelerators R&D for ATLAS Phase-II Computing", Beomki Yeo, ATLAS Lecture Series
- 5 Apr 2024 - "New Deep Learning based approach to Primary Vertex finding in ATLAS experiment", Rocky Bala Garg, APS April Meeting, 2024
- 28 Mar 2024 - "Challenges and Opportunities in Software and Computing for Future Colliders", Heather Gray, The Future of High Energy Physics
- 19 Mar 2024 - "Upgrade Tracking Report", Carlo Varni, ATLAS ITk Meeting
- 11 Mar 2024 - "Line Segment Tracking: Improving the Phase 2 CMS High Level Trigger Tracking with a Novel, Hardware-Agnostic Pattern Recognition Algorithm", Emmanouil Vourliotis, 22nd International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2024)
- 1 Mar 2024 - "ACTS Integration Updates", Carlo Varni, ATLAS ACTS-ITk Meeting
- 21 Feb 2024 - "DPS Note: Performance of Line Segment Tracking in the CMS Phase 2 High Level Trigger", Emmanouil Vourliotis, Trigger Studies Group (CMS restricted)
- 14 Feb 2024 - "From Upgrade on Run 4 object reconstruction, progress and plans", Carlo Varni, ATLAS Collaboration Week
- 9 Feb 2024 - "ACTS-based Conversion Tracking Pass", Carlo Varni, ATLAS ACTS-ITk Meeting
- 1 Feb 2024 - "Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC (poster)", Simon Akar, 6th Inter-experiment Machine Learning Workshop
- 31 Jan 2024 - "Improving the line-segment tracking algorithm with machine learning for the High Luminosity LHC", Jonathan Guiang, 6th Inter-experiment Machine Learning Workshop
- 30 Jan 2024 - "Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC", Simon Akar, 6th Inter-experiment Machine Learning Workshop
- 30 Jan 2024 - "Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC", Rocky Bala Garg, 6th Inter-experiment Machine Learning Workshop
- 11 Jan 2024 - "ACTS Integraton into Athena", Carlo Varni, Annual LBNL ATLAS Meeting
- 14 Dec 2023 - "Upgrade Tracking 2024 goals", Carlo Varni, ATLAS Upgrade Physics Meeting
- 28 Nov 2023 - "CKF and KF development in traccc", Beomki Yeo, EF Tracking Weekly (Internal)
- 16 Nov 2023 - "ACTS GPU R&D Status", Beomki Yeo, US ATLAS Software & Computing / Physics Support joint management meeting (Internal)
- 14 Nov 2023 - "Upgrade Software status and ACTS integration", Carlo Varni, ATLAS Upgrade Week
- 9 Nov 2023 - "Status of KF and CKF: traccc", Beomki Yeo, Acts Workshop 2023
- 8 Nov 2023 - "ATLAS ACTS Infrastructure", Carlo Varni, ACTS Developers Workshop
- 3 Nov 2023 - "Phase-2 Timing projections: Tracking", Emmanouil Vourliotis, Reconstruction and Analysis Tools (CMS restricted)
- 17 Oct 2023 - "Upgrade Physics and Software Report", Carlo Varni, ATLAS Collaboration Week
- 12 Oct 2023 - "Studying a new Primary Vertex (PV) identification algorithm within ACTS framework", Rocky Bala Garg, CTD 2023
- 12 Oct 2023 - "Improving tracking algorithms with machine learning: a case for line-segment tracking at the High Luminosity LHC", Jonathan Guiang, Connecting The Dots 2023
- 11 Oct 2023 - "CERN IT Machine Learning Infrastructure Workshop, Inputs from LHCb", Simon Akar, 2nd CERN IT Machine Learning Infrastructure Workshop
- 10 Oct 2023 - "Track reconstruction with mkFit and developments towards HL-LHC", Slava Krutelyov, Connecting The Dots 2023
- 10 Oct 2023 - "High Pileup Particle Tracking with Object Condensation", Kilian Lieret, Connecting the Dots
- 9 Oct 2023 - "Tracking with Graph Neural Networks", Kilian Lieret, PyHEP
- 22 Sep 2023 - "Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC", Mike Sokoloff, seminar at Ramon LLull University, LaSalle Campus
- 22 Sep 2023 - "ACTS Track Reconstruction and Support for Regional Tracking", Carlo Varni, ATLAS ACTS-ITk Meeting
- 12 Sep 2023 - "ACTS Integration into Athena", Carlo Varni, ATLAS ITk Meeting
- 11 Sep 2023 - "mkFit/LST", Slava Krutelyov, IRIS-HEP Institute Retreat
- 21 Jul 2023 - "Parallelized Track Reconstruction for the LHC: the mkFit Project", Steve Lantz, Fifth Computational and Data Science school for HEP (CoDaS-HEP 2023)
- 19 Jul 2023 - "Introduction to Performance Tuning & Optimization Tools", Steve Lantz, Fifth Computational and Data Science school for HEP (CoDaS-HEP 2023)
- 17 Jul 2023 - "Vector Parallelism on Multi-Core Processors", Steve Lantz, Fifth Computational and Data Science school for HEP (CoDaS-HEP 2023)
- 17 Jul 2023 - "What Every Computational Physicist Should Know About Computer Architecture", Steve Lantz, Fifth Computational and Data Science school for HEP (CoDaS-HEP 2023)
- 10 Jul 2023 - "Timing considerations for LST", Emmanouil Vourliotis, HLT developments with GPUs (CMS restricted)
- 22 May 2023 - "Material effects updates in mkFit", Leonardo Giannini, CMS Tracking Group (CMS restricted)
- 15 May 2023 - "How to integrate ACTS into Athena", Carlo Varni, Inner Detector Tracking Workshop 2023
- 11 May 2023 - "Potentiality of automatic parameter tuning suite available in ACTS track reconstruction software framework", Rocky Bala Garg, CHEP 2023
- 11 May 2023 - "RenderCore – a new WebGPU-based rendering engine for ROOT-EVE", Matevz Tadel, CHEP-2023, Norfolk, VA, USA
- 9 May 2023 - "Line Segment Tracking in the High-luminosity LHC", Philip Chang, 26th International Conference on Computing in High Energy and Nuclear Physics (ICHEP 2023)
- 9 May 2023 - "Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC", Rocky Bala Garg, CHEP 2023
- 9 May 2023 - "Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC", Mike Sokoloff, CHEP-2023
- 9 May 2023 - "A DNN for CMS track classification and selection", Leonardo Giannini, Computing in High Energy and Nuclear Physics (CHEP2023)
- 9 May 2023 - "An Object Condensation Pipeline for Charged Particle Tracking", Kilian Lieret, CHEP
- 8 May 2023 - "Generalizing mkFit and its Application to HL-LHC", Matevz Tadel, CHEP-2023, Norfolk, VA, USA
- 8 May 2023 - "Generalizing mkFit and its Application to HL-LHC", Leonardo Giannini, Computing in High Energy and Nuclear Physics (CHEP2023)
- 27 Apr 2023 - "Particle Track Reconstruction for the Large Hadron Collider: A Case Study in Intra-Processor Parallelism", Steve Lantz, Guest lecture for CS 5220, Applications of Parallel Computers
- 16 Apr 2023 - "PV-Finder Approval: A Deep Learning based Approach to finding Primary Vertices in ATLAS data", Rocky Bala Garg, Inner Tracking CP Plenary
- 12 Apr 2023 - "Update on Energy Loss", Beomki Yeo, Acts Developers Meeting
- 31 Mar 2023 - "ACTS improvements for ITk chain", Carlo Varni, ACTS-ITk meeting
- 24 Mar 2023 - "CUDA track finding with CKF", Beomki Yeo, ACTS Parallelization Meeting
- 13 Mar 2023 - "Space Point EDM", Carlo Varni, TDAQ Week - EF Tracking parallel session
- 13 Mar 2023 - "Integration of Line Segment Tracking in CMSSW", Emmanouil Vourliotis, CMS Tracking POG General Meeting (CMS restricted)
- 10 Mar 2023 - "Line Segment Tracking (LST)", Emmanouil Vourliotis, Phase-2 Software Days (CMS restricted)
- 10 Mar 2023 - "Tracking", Emmanouil Vourliotis, Phase-2 Software Days (CMS restricted)
- 9 Mar 2023 - "Update on PV-Finder Study: A Deep Learning based Approach to finding Primary Vertices in ATLAS data", Rocky Bala Garg, Tracking and Vertexing for Prompt and Displaced Particles Meeting, ATLAS
- 9 Mar 2023 - "mkFit for Phase 2", Leonardo Giannini, CMS Upgrade Software Days (CMS restricted)
- 9 Mar 2023 - "Line Segment Tracking (LST)", Emmanouil Vourliotis, CMS Upgrade Software Days (CMS restricted)
- 3 Mar 2023 - "SP EDM and timing studies of chain components", Carlo Varni, ACTS-ITk meeting
- 2 Mar 2023 - "Future tracking", Emmanouil Vourliotis, CMS Tracker Training Days (CMS restricted)
- 28 Feb 2023 - "Introduction and Updates from Traccc", Beomki Yeo, EF Tracking weekly
- 13 Feb 2023 - "Summary of recent mkFit developments", Mario Masciovecchio, CMS Tracking POG Meeting (CMS restricted)
- 27 Jan 2023 - "Kalman Filter Update in traccc", Beomki Yeo, ACTS Parallelization Meeting
- 26 Jan 2023 - "ACTS Tracking EDM", Carlo Varni, ATLAS software and computing week
- 20 Jan 2023 - "Space point EDM discussion", Carlo Varni, ACTS-ITk meeting
- 11 Jan 2023 - "ACTS-Athena integration and configuration", Carlo Varni, Annual LBNL ATLAS Meeting
- 11 Dec 2022 - "Kalman Filtering Update in traccc", Beomki Yeo, ACTS Parallelization Meeting
- 2 Dec 2022 - "Athena-Acts Job Options developments", Carlo Varni, ACTS-ITk meeting
- 18 Nov 2022 - "New Computing and Software Frontiers in Particle Physics", Gordon Watts, XIV Latin American Symposium on High Energy Physics
- 11 Nov 2022 - "Effect of the Outer Tracker Inefficiencies on the LST Algorithm", Emmanouil Vourliotis, CMS Tracker Upgrade Modelling, Simulation and Performance (CMS restricted)
- 4 Nov 2022 - "Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC", Mike Sokoloff, ML4Jets2022
- 2 Nov 2022 - "mkFit phase-2 geometry support and related generalizations", Matevz Tadel, CMS Tracker DPG, Tracking POG meeting (CMS restricted)
- 26 Oct 2022 - "Auto-tuning capabilities of the ACTS track reconstruction suite", Rocky Bala Garg, ACAT 2022
- 26 Oct 2022 - "Speeding up the CMS track reconstruction with a parallelized and vectorized Kalman-filter-based algorithm during the LHC Run 3 (poster)", Emmanouil Vourliotis, 21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2022)
- 25 Oct 2022 - "Comparing and improving hybrid deep learning algorithms for identifying and locating primary vertices (poster)", Simon Akar, ACAT 2022 (21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research)
- 25 Oct 2022 - "Navigation, field integration and track parameter transport through detectors using GPUs and CPUs within the ACTS R&D project", Beomki Yeo, 21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research
- 13 Oct 2022 - "ACTS for IRIS-HEP", Rocky Bala Garg, IRIS-HEP Institute Retreat
- 12 Oct 2022 - "Tracking final fit: opportunities for simplification or speedup", Mario Masciovecchio, CMS Tracker DPG - Tracking POG General Meeting (CMS restricted)
- 7 Oct 2022 - "Job Options for integration", Carlo Varni, ACTS-ITk meeting
- 6 Oct 2022 - "ACTS-Athena integration strategy", Carlo Varni, ATLAS software and computing week
- 6 Oct 2022 - "ACTS GPU Track Reconstruction Demonstrator", Beomki Yeo, Joint Upgrade Software + Reconstruction session during S&C Week 73
- 29 Sep 2022 - "ACTS for ITk in Athena - tutorial section", Carlo Varni, ACTS Developers Workshop
- 28 Sep 2022 - "Tutorial on Using Optuna and Orion to tune seeding parameters", Rocky Bala Garg, ACTS Developers Workshop
- 27 Sep 2022 - "Auto-tuning in acts for seeding and vertexing", Rocky Bala Garg, ACTS Developers Workshop
- 26 Sep 2022 - "ACTS Vertexing", Rocky Bala Garg, ACTS Developers Workshop
- 13 Sep 2022 - "Tracking final fit: opportunities for simplification or speedup", Slava Krutelyov, CMS Pixel Calibration and Local Reconstruction Meeting (CMS restricted)
- 12 Sep 2022 - "Tracking final fit: opportunities for simplification or speedup", Mario Masciovecchio, CMS Tracking POG Meeting (CMS restricted)
- 15 Aug 2022 - "mkFit updates", Mario Masciovecchio, CMS Tracking POG Meeting (CMS restricted)
- 5 Aug 2022 - "Example application: Line Segment Linking project", Michael (Tres) Reid, CoDaS-HEP school
- 2 Aug 2022 - "Performance Case Study: the mkFit Particle Tracking Code", Steve Lantz, Fourth Computational and Data Science school for HEP (CoDaS-HEP 2022)
- 2 Aug 2022 - "Introduction to Performance Tuning & Optimization Tools", Steve Lantz, Fourth Computational and Data Science school for HEP (CoDaS-HEP 2022)
- 1 Aug 2022 - "Vector Parallelism on Multi-Core Processors", Steve Lantz, Fourth Computational and Data Science school for HEP (CoDaS-HEP 2022)
- 1 Aug 2022 - "What Every Computational Physicist Should Know About Computer Architecture", Steve Lantz, Fourth Computational and Data Science school for HEP (CoDaS-HEP 2022)
- 27 Jul 2022 - "Update on Line Segment Tracking for Phase-2 tracking", Emmanouil Vourliotis, CMS Tracker DPG - Tracking POG General Meeting (CMS restricted)
- 12 Jul 2022 - "HEP software: overview and future challenges", Heather Gray, ICHEP
- 17 Jun 2022 - "Segment Linking: A Highly Parallelizable Track Reconstruction Algorithm for HL-LHC", Emmanouil Vourliotis, HEP 2022 - 39th Conference on Recent Developments in High Energy Physics and Cosmology
- 15 Jun 2022 - "ACTS R&D for GPU track reconstruction", Beomki Yeo, Core SW / HCAF Session in S&C Week
- 2 Jun 2022 - "Exploration of different parameter optimization algorithms within the context of ACTS software framework", Rocky Bala Garg, Connecting The Dots 2022
- 31 May 2022 - "Connecting the dots conference 2022", Beomki Yeo, Connecting the dots conference 2022
- 20 May 2022 - "Running ACTS workflow in athena for ITk", Carlo Varni, ACTS-ITk meeting
- 18 May 2022 - "CI Tests for ACTS packages", Carlo Varni, Upgrade Software Integration
- 12 May 2022 - "Optimization of ACTS-AMVF for ITk", Rocky Bala Garg, Vertex reconstruction meeting
- 5 May 2022 - "Interpretable AI In Physics", Savannah Thais, BIRS Interpretability in AI Workshop
- 4 May 2022 - "ACTS/ITk Parameter Optimization", Rocky Bala Garg, Upgrade Tracking Meeting
- 27 Apr 2022 - "Parameter optimization using machine learning algorithms within ACTS framework", Rocky Bala Garg, IRIS-HEP IA presentations
- 27 Apr 2022 - "Parameter optimization using machine learning algorithms within ACTS framework", Elyssa Hofgard, IRIS-HEP Topical meeting
- 27 Apr 2022 - "Allen monitoring", Daniel Craik, IRIS-HEP Topical meeting
- 25 Apr 2022 - "mkFit status report", Leonardo Giannini, Tracking POG meeting (CMS restricted)
- 13 Apr 2022 - "Line Segment Linking project", Michael (Tres) Reid, IRIS-HEP Topical meeting
- 13 Apr 2022 - "ACTS tracking", Carlo Varni, IRIS-HEP Topical meeting
- 8 Apr 2022 - "Representation Workshop Summary", Savannah Thais, Learning to Discover
- 5 Apr 2022 - "EF Tracking - track extension, fitting & ambiguity resolution", Carlo Varni, EF Tracking weekly
- 1 Apr 2022 - "Matrix operations in algebra-plugins", Beomki Yeo, ACTS Parallelization Meeting
- 28 Mar 2022 - "mkFit status report", Mario Masciovecchio, Tracker General Meeting (CMS restricted)
- 22 Mar 2022 - "GNNs for Charged Particle Reconstruction at the Large Hadron Collider", Savannah Thais, US CMS HL-LHC R&D Meeting (CMS Internal)
- 18 Mar 2022 - "Future development plan", Beomki Yeo, ACTS Parallelization Meeting
- 11 Mar 2022 - "Updates on seeding integration in athena", Carlo Varni, ACTS-ITk meeting
- 9 Mar 2022 - "Parallelisation in ACTS", Beomki Yeo, Compute Accelerator Forum / HSF Reconstruction and Software Triggers
- 8 Mar 2022 - "GNNs for Charged Particle Reconstruction at the Large Hadron Collider", Savannah Thais, Imperial College Data Learning Working Group
- 8 Mar 2022 - "Intro to GNN Approach", Markus Atkinson, EF Tracking weekly
- 7 Mar 2022 - "Status of the mkFit project", Mario Masciovecchio, Tracker General Meeting (CMS restricted)
- 25 Feb 2022 - "CKF parameter tuning studies", Rocky Bala Garg, ACTS Machine Learning Meeting
- 14 Feb 2022 - "mkFit status report", Mario Masciovecchio, Tracking POG Meeting (CMS restricted)
- 11 Feb 2022 - "Updates on seeding", Carlo Varni, ACTS-ITk meeting
- 4 Feb 2022 - "Discussion on the (CUDA) navigator in detray", Beomki Yeo, Acts Parallelization Meeting
- 31 Jan 2022 - "mkFit update", Leonardo Giannini, Tracking POG meeting (CMS restricted)
- 27 Jan 2022 - "Status of ACTS integration for ITk tracking", Carlo Varni, Inner Tracking CP plenary meeting
- 21 Jan 2022 - "mkFit external integration", Matevz Tadel, CMS Reconstruction and Analysis Tools Meeting (CMS restricted)
- 12 Jan 2022 - "ACTS, EDM and Athena", Carlo Varni, Annual LBNL ATLAS Meeting
- 12 Jan 2022 - "Tracking with ACTS on GPUs", Beomki Yeo, Annual LBNL ATLAS Meeting
- 6 Jan 2022 - "mkFit technical performance update", Mario Masciovecchio, PPD general meeting (CMS restricted)
- 10 Dec 2021 - "mkFit overview", Mario Masciovecchio, CMS week plenary (CMS restricted)
- 1 Dec 2021 - "A compile time polymorphic tracking geometry description", Beomki Yeo, 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research
- 29 Nov 2021 - "mkFit: status report", Mario Masciovecchio, Tracking POG Meeting (CMS restricted)
- 26 Nov 2021 - "Recent mkFit developments", Mario Masciovecchio, Reconstruction and Analysis Tools meeting (CMS restricted)
- 19 Nov 2021 - "Panel: Intersection of Large-Scale Experimental Science and High-Performance Computing", Mark Neubauer, Workshop on Extreme-Scale Experiment-in-the-Loop Computing (XLOOP 2021)
- 19 Nov 2021 - "Discussion on seeding algorithm integration in Athena", Carlo Varni, ACTS-ITk meeting
- 19 Nov 2021 - "Setting the tool’s properties in the JO with different configurations", Carlo Varni, Run 3 Reconstruction Job Configuration
- 17 Nov 2021 - "Fast histogram on GPU", Bei Wang, Princeton Research Software Engineer Group Meeting
- 15 Nov 2021 - "mkFit status report", Leonardo Giannini, Tracking POG meeting (CMS restricted)
- 10 Nov 2021 - "Introduction to Field-Programmable Gate Arrays (FPGAs)", Bei Wang, Princeton Research Computiong Workshop
- 22 Oct 2021 - "GNN Tracking Update", Markus Atkinson, HLS4ML Co-Processor Meeting
- 18 Oct 2021 - "Line segment tracking for Phase-II Tracking", Philip Chang, HLT Upgrade Workshop (CMS restricted)
- 18 Oct 2021 - "mkFit status report", Leonardo Giannini, Tracking POG meeting (CMS restricted)
- 18 Oct 2021 - "Performance and Vectorization", Bei Wang, Introduction to Parallel Computing for HPC Fall 2021
- 15 Oct 2021 - "ACTS Seeding Algorithm and Tool in Athena", Carlo Varni, ACTS-ITk meeting
- 15 Oct 2021 - "Detray status update", Beomki Yeo, ACTS Parallelization Meeting
- 13 Oct 2021 - "Implementation of Deep Learning Algorithm for identifying and locating primary vertices in ATLAS data", Rocky Bala Garg, DIANA/HEP Fellow Presentations
- 4 Oct 2021 - "mkFit: status report", Mario Masciovecchio, Tracking POG Meeting (CMS restricted)
- 4 Oct 2021 - "Status of the GPU demonstrator (traccc) for Acts", Beomki Yeo, Core SW / HCAF Session in S&C Week
- 1 Oct 2021 - "Discussion on seeding algorithm EDM", Carlo Varni, ACTS-ITk meeting
- 28 Sep 2021 - "mkFit status and plans", Mario Masciovecchio, CMS Tracker detector performance group meeting (CMS restricted)
- 20 Sep 2021 - "mkFit status report", Leonardo Giannini, Tracking POG meeting (CMS restricted)
- 17 Sep 2021 - "EDM Timing Studies", Carlo Varni, ACTS-ITk meeting
- 14 Sep 2021 - "Status report on mkFit", Mario Masciovecchio, CMS week Run 3 plenary (CMS restricted)
- 7 Sep 2021 - "Machine Learning for Tracking", Savannah Thais, HL-LHC R&D Initiative Meeting (USCMS internal)
- 6 Sep 2021 - "mkFit: status report", Mario Masciovecchio, Tracking POG Meeting (CMS restricted)
- 26 Aug 2021 - "Machine Learning (CMS)", Savannah Thais, 10th International Conference on New Frontiers in Physics (ICNFP 2021)
- 23 Aug 2021 - "mkFit: status report", Mario Masciovecchio, Tracking POG Meeting (CMS restricted)
- 19 Aug 2021 - "Virtual Meetings Workshop Summary", Mark Neubauer, International Union of Pure & Applied Physics: Particles and Fields Meeting
- 10 Aug 2021 - "Track Reconstruction using GPUs", Beomki Yeo, LBML ATLAS Meeting
- 9 Aug 2021 - "mkFit status report", Leonardo Giannini, Tracking POG meeting (CMS restricted)
- 30 Jul 2021 - "Generative Adversarial Network (GAN)", Savannah Thais, Machine Learning HATS@LPC
- 26 Jul 2021 - "mkFit: status report", Mario Masciovecchio, Tracking POG Meeting (CMS restricted)
- 20 Jul 2021 - "ATLAS Track Reconstruction for HL-LHC using ACTS software", Carlo Varni, LBL Weekly meeting
- 14 Jul 2021 - "AI in HEP: Current Methods and Applications", Savannah Thais, 2021 Meeting of the Division of Particles and Fields (DPF21)
- 12 Jul 2021 - "Graph Neural Networks", Savannah Thais, Machine Learning HATS@LPC
- 12 Jul 2021 - "mkFit status report", Leonardo Giannini, Tracking POG meeting (CMS restricted)
- 8 Jul 2021 - "Thoughts on the expressive power and inductive bias of DeepSets and Tree-Based models" , Kyle Cranmer, ML4Jets
- 6 Jul 2021 - "Emerging techniques for sampling, searching, and summing over the combinatorially large space of shower histories", Sebastian Macaluso, ML4Jets 2021
- 30 Jun 2021 - "Using Nsight Compute to Understand Kernel Performance Bottlenecks", Bei Wang, Princeton Research Computing Group Meeting
- 28 Jun 2021 - "mkFit: status report", Mario Masciovecchio, Tracking POG Meeting (CMS restricted)
- 24 Jun 2021 - "Accelerated Strip Local reconstruction on GPUs", Dan Riley, CMS Strip Calibration and Local Reconstruction Meeting
- 21 Jun 2021 - "Floating Point Error Evaluation With Clad", Garima Singh, IRIS-HEP Topical Meetings
- 18 Jun 2021 - "ACTS Tracking EDM", Carlo Varni, ACTS-ITk meeting
- 4 Jun 2021 - "Cuda seed finding update in traccc", Beomki Yeo, ACTS Parallelization Meeting
- 27 May 2021 - "Qualification task in TrackingCP: ACTS Integration into Athena", Rocky Bala Garg, ATLAS Inner Tracking CP weekly
- 27 May 2021 - "Tracking with Graph Neural Networks", Markus Atkinson, ATLAS Machine Learning Forum
- 21 May 2021 - "Acts Tracking EDM ideas and Seeding Tool", Carlo Varni, ACTS-ITk meeting
- 20 May 2021 - "Reframing Jet Physics with New Computational Methods", Sebastian Macaluso, 25th International Conference on Computing in High Energy & Nuclear Physics
- 19 May 2021 - "Progress in developing a hybrid deep learning algorithm for identifying and locating primary vertices", Simon Akar, CHEP 2021 (25th International Conference on Computing in High-Energy and Nuclear Physics)
- 17 May 2021 - "mkFit status report", Leonardo Giannini, Tracking POG meeting (CMS restricted)
- 17 May 2021 - "Perspective on HEP Software", Heather Gray, vCHEP
- 15 May 2021 - "GPU Demonstrator for ACTS Track Reconstruction", Beomki Yeo, NSF review
- 10 May 2021 - "Progress in developing a hybrid deep learning algorithm for identifying and locating primary vertices, Performances evaluation & comparison", Simon Akar, Internal LHCb RTA-DPA meeting
- 6 May 2021 - "Day 2 Topics and Goals", Mark Neubauer, Virtual Meetings Blueprint Workshop
- 5 May 2021 - "Welcome, IRIS-HEP Blueprint Activity & Workshop Overview", Mark Neubauer, Virtual Meetings Blueprint Workshop
- 5 May 2021 - "Explorations at the Physics ∩ ML Interface" , Kyle Cranmer, Physics ∩ ML seminar series
- 26 Apr 2021 - "An AI revolution in science? Using machine learning for scientific discovery", Kyle Cranmer, University of Cambridge Accelerate Programme for Scientific Discovery
- 9 Apr 2021 - "GNNs for Charged Particle Reconstruction at the Large Hadron Collider", Savannah Thais, MLSys Workshop of Graph Neural Networks and Systems
- 29 Mar 2021 - "Progress in developing a hybrid deep learning algorithm for identifying and locating primary vertices, Learning KDEs and PVs from track parameters", Simon Akar, Internal LHCb RTA-DPA meeting
- 26 Mar 2021 - "ACTS integration into athena", Carlo Varni, ACTS-ITk meeting
- 25 Mar 2021 - "Graph Deep Learning for Physics", Kyle Cranmer, Università della Svizzera
- 1 Mar 2021 - "Tracking with GNN", Savannah Thais, HL-LHC R&D topical meeting: Graph Neural Networks for Tracking and Sherpa
- 1 Mar 2021 - "Quick and Quirk with Quarks", Philip Harris, IAIFI colloquium
- 1 Mar 2021 - "Scientific Applications of FPGAs at the LHC", Philip Harris, FPGA' 21
- 1 Mar 2021 - "Reframing Jet Physics in Probabilistic Terms", Sebastian Macaluso, CCPP Brown Bag seminar, NYU
- 26 Feb 2021 - "Parameter Optimization and Layer Linking in ACTS track Seeding", Rocky Bala Garg, ACTS Machine Learning Meeting
- 22 Feb 2021 - "Quarks, hierarchical clustering, and combinatorial optimization", Kyle Cranmer, Deep Learning and Combinatorial Optimization
- 18 Feb 2021 - "MadMiner tutorial", Kyle Cranmer, (Re)interpreting the results of new physics searches at the LHC
- 12 Feb 2021 - "Athena-ACTS Wrapper: Iterative Vertex Finder with Full Billoir Fitter", Rocky Bala Garg, SLAC ATLAS meeting
- 11 Feb 2021 - "Graph Neutral Networks for Pattern Recognition", Mark Neubauer, ATLAS Commodity Event Filter Tracking Task Force Meeting
- 25 Jan 2021 - "Floating Point Arithmetic Is Not Real", Bei Wang, Princeton Research Computing Bootcamp (Winter 2021)
- 25 Jan 2021 - "Performance and Vectorization", Bei Wang, Princeton Research Computing Bootcamp (Winter 2021)
- 13 Jan 2021 - "Nvidia Kernel Profilers Case Study with Segment Linking Algorithm in Particle Tracking", Bei Wang, Princeton Research Computing Group Meeting
- 18 Dec 2020 - "Some fun examples from the intersection of machine learning and physics", Kyle Cranmer, ML in PL
- 15 Dec 2020 - "Accelerated Strip Local reconstruction on GPUs", Dan Riley, CMS Tracker Detector Performance Group
- 8 Dec 2020 - "How machine learning can help us get the most out of our highest fidelity physical models", Kyle Cranmer, AI for Atoms
- 7 Dec 2020 - "Segment Linking Development on GPUs", Michael (Tres) Reid, HLT developments with GPUs
- 4 Dec 2020 - "Workshop Overview and Goals", Mark Neubauer, Mini-Workshop on Portable Inference
- 30 Nov 2020 - "Hough Transforms and GNN", Markus Atkinson, Exa.Trkx Weekly Meeting
- 3 Nov 2020 - "Line segment tracking for Phase-II Tracking", Philip Chang, HLT Upgrade Workshop (CMS restricted)
- 2 Nov 2020 - "Tracking with GNN", Savannah Thais, CMS Tracking POG meeting (CMS internal)
- 2 Nov 2020 - "Performance and Vectorization", Bei Wang, Princeton Research Computing Mini-course (Fall 2020)
- 23 Oct 2020 - "Graph Neural Networks Architectures", Markus Atkinson, FastML Co-processors Meeting
- 21 Oct 2020 - "Accelerated Pixel Detector Tracklet Finding with GNNs on FPGAS", Savannah Thais, 4th Annual Inter-Experiment Machine Learning Workshop
- 21 Oct 2020 - "Graph Neural Networks Architectures", Markus Atkinson, IRIS-HEP Topical Meeting
- 19 Oct 2020 - "mkFit report: plans for offline tracking in Run3", Slava Krutelyov, CMS Tracking POG Meeting (CMS restricted)
- 6 Oct 2020 - "mkFit report: plans for offline tracking in Run3", Slava Krutelyov, CMS Tracker DPG - Tracking POG General Meeting (CMS restricted)
- 5 Oct 2020 - "Floating Point Arithmetic Is Not Real", Bei Wang, Princeton Research Computing Mini-course (Fall 2020)
- 30 Sep 2020 - "GNNs for Tracking", Savannah Thais, CMS Machine Learning Forum
- 24 Sep 2020 - "How machine learning can help us get the most out of our highest fidelity physical models", Kyle Cranmer, NYU Physics Colloquium
- 22 Sep 2020 - "Reusable Workflows, active learning, and simulation-based inference", Kyle Cranmer, UCI Symposium on Reproducibility in Machine Learning
- 21 Sep 2020 - "Update on Segment Linking for HL-LHC", Philip Chang, Tracking POG meeting (CMS restricted)
- 21 Sep 2020 - "New Computational Techniques and Machine Learning for Jet Physics", Sebastian Macaluso, Particle Theory Seminar, Instituto de Fisica La Plata, UNLP
- 9 Sep 2020 - "FPGAs-as-a-Service Toolkit (FaaST)", Dylan Rankin, H2RC'20 (SC20)
- 9 Sep 2020 - "Introduction to FPGAs", Bei Wang, Princeton Research Computing Group Meeting
- 2 Sep 2020 - "Ambiguity Resolution in ACTS", Irina Ene, IRIS-HEP topical meeting
- 26 Aug 2020 - "Initial studies of ACTS tracking performance with GPUs", Xiaocong Ai, IRIS-HEP Topical meeting
- 11 Aug 2020 - "Particle Physics and Machine Learning in Education", Mark Neubauer, Snowmass Computational Frontier Workshop
- 11 Aug 2020 - "IRIS-HEP Report: Innovative Algorithms", Heather Gray, Snowmass Computational Frontier Workshop
- 5 Aug 2020 - "mkFit update: strip tracker unpacking and clustering on GPU ", Dan Riley, CMS Strip Calibration and Local Reconstruction Meeting
- 21 Jul 2020 - "How machine learning can help us get the most out of our highest fidelity physical models", Kyle Cranmer, Machine Learning in Science 2020
- 17 Jul 2020 - "Graphs, Trees, and Sets: structured data in physics", Kyle Cranmer, ICML Workshop on Graph Representation Learning
- 17 Jul 2020 - "Likelihood-based models for Simulation-based Inference", Kyle Cranmer, ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models
- 8 Jul 2020 - "How machine learning can help us get the most out of our highest fidelity physical models", Kyle Cranmer, ELLIS SOCIETY: AI4Science Kickoff Workshop
- 2 Jul 2020 - "The interplay of Math, Physics, and Machine Learning", Kyle Cranmer, IST seminar series Mathematics, Physics & Machine Learning
- 23 Jun 2020 - "Update on Segment Linking for HL-LHC", Philip Chang, HLT Upgrade Workshop (CMS restricted)
- 9 Jun 2020 - "Local tracker reconstruction on accelerators", Dan Riley, CMS Upgrade R&D/CMP Meeting
- 31 May 2020 - "How machine learning can help us get the most out of our highest fidelity physical models", Kyle Cranmer, Tel Aviv University Physics Department Colloquium
- 29 May 2020 - "Summary of Wednesday Session: Core Developments", Xiaocong Ai, ACTS Tracking for HEP Workshop
- 29 May 2020 - "Future Blueprint Topics: Year 3 Plans, 4 and 5 Year Thoughts", Mark Neubauer, IRIS-HEP Team Retreat
- 28 May 2020 - "ACTS Propagation on GPUs", Xiaocong Ai, ACTS Tracking for HEP Workshop
- 26 May 2020 - "ACTS Track fitting/finding Tutorial", Xiaocong Ai, ACTS Tracking for HEP Workshop
- 26 May 2020 - "Innovative Algorithms - Years 3, and 4+5", David Lange, IRIS-HEP team retreat
- 25 May 2020 - "ACTS Project Status", Xiaocong Ai, ACTS Tracking for HEP Workshop
- 18 May 2020 - "Graph Neural Network Tracking using the Endcaps", Markus Atkinson, Exa.Trkx Weekly Meeting
- 15 May 2020 - "Acts Integration into Athena", Rocky Bala Garg, SLAC ATLAS meeting
- 10 May 2020 - "Floating Point Arithmetic Is Not Real", Bei Wang, Princeton Research Computing Mini-course (Spring 2020)
- 7 May 2020 - "How machine learning can help us get the most out of our highest fidelity physical models", Kyle Cranmer, MIT Physics Department Colloquium
- 5 May 2020 - "mkFit update: strip tracker unpacking and clustering on GPU", Dan Riley, CMS HLT Upgrade TSG Weekly Meeting
- 4 May 2020 - "Pixel Detector Tracklet Finding", Markus Atkinson, Exa.Trkx Weekly Meeting
- 28 Apr 2020 - "mkFit update: strip tracker unpacking and clustering on GPU", Dan Riley, CMS Tracker DPG - Tracking POG general Weekly Meeting
- 26 Apr 2020 - "Autoencoders for Compression and Simulation in Particle Physics", Daniel Craik, International Conference on Learning Representations 2020
- 22 Apr 2020 - "Tracking performance with ACTS", Xiaocong Ai, Connecting The Dots 2020
- 22 Apr 2020 - "Parallelizing the unpacking and clustering of detector data for reconstruction of charged particle tracks on multi-core CPUs and many-core GPUs", Bei Wang, Connecting The Dots (2020)
- 20 Apr 2020 - "Parallelizable Track Pattern Recognition in High-Luminosity LHC", Philip Chang, Connecting The Dots 2020
- 20 Apr 2020 - "An updated hybrid deep learning algorithm for identifying and locating primary vertices", Marian Stahl, Connecting The Dots 2020
- 20 Apr 2020 - "Connecting the Dots 2020 - Workshop introduction", David Lange, Connecting the Dots 2020
- 5 Mar 2020 - "Artificial Intelligence for High-Energy Physics", Mark Neubauer, Artificial Intelligence for Nuclear Physics Workshop
- 5 Mar 2020 - "Challenges and Evolution of the LHC computing model for HL-LHC", David Lange, Boston University seminar
- 5 Mar 2020 - "Machine Learning and Physics", Kyle Cranmer, Special QU-PCD Colloquium at DESY (CANCELED due to COVID19)
- 3 Mar 2020 - "Machine Learning for Effective Field Theories", Kyle Cranmer, PREFIT20: PRecision Effective FIeld Theory School
- 27 Feb 2020 - "New Algorithms and Computing Architectures for Tracking", Savannah Thais, IRIS-HEP 18 Month Review
- 27 Feb 2020 - "GNN Tracking and FPGA Acceleration (poster)", Markus Atkinson, IRIS-HEP Poster Session
- 27 Feb 2020 - "Allen: a GPU trigger for LHCb", Daniel Craik, IRIS-HEP Poster Session
- 19 Feb 2020 - "Track fitting/finding with ACTS", Xiaocong Ai, Iris-hep topical meeting
- 12 Feb 2020 - "mkFit and HL-LHC tracking in CMS", Mario Masciovecchio, Joint HSF event reconstruction/trigger working group and IRIS-HEP Topical Meeting
- 11 Feb 2020 - "Accelerated Full Tracking at (CMS) HLT", Mario Masciovecchio, CMS scouting kick-off workshop (CMS restricted)
- 5 Feb 2020 - "mkFit update: strip tracker unpacking and clustering on CPU and GPU", Dan Riley, CMS Tracker DPG/Strip Calibration and Local Reconstruction Weekly Meeting
- 29 Jan 2020 - "LHCb HLT performance- and regression-tests A hybrid deep learning approach to vertexing", Marian Stahl, IRIS-HEP Topical Meeting
- 27 Jan 2020 - "The Allen Project", Daniel Craik, IRIS-HEP Topical Meeting
- 17 Jan 2020 - "ROB: Reproducible Open Benchmarks for Data Analysis Platform", Heiko Mueller, ML4Jets 2020
- 17 Jan 2020 - "A Worldwide Software Collaboration?", David Lange, Hong Kong IAS Mini-workshop: Experiment / Detector - Software and Physics Requirements for e+e- Colliders
- 17 Jan 2020 - "Looking into Jets with Machine Learning", Sebastian Macaluso, ML4Jets 2020
- 16 Dec 2019 - "Update on mkFit developments", Slava Krutelyov, CMS Tracking POG Meeting (CMS restricted)
- 9 Dec 2019 - "The Trigger and Real-time Reconstruction at LHCb", Daniel Craik, CPAD Instrumentation Frontier Workshop 2019
- 3 Dec 2019 - "Segment linking for Phase-2 Tracking", Philip Chang, HLT Upgrade Meeting (CMS restricted)
- 2 Dec 2019 - "Segment linking for Phase-2 Tracking", Philip Chang, CMS Tracker Week - Tracking POG meeting (CMS restricted)
- 22 Nov 2019 - "Reconstruction R&D for HEP in the next decade", Slava Krutelyov, Latin American Workshop on Software and Computing challenges in High-Energy Particle Physics (LAWSCHEP 2019)
- 19 Nov 2019 - "Flows three ways", Kyle Cranmer, Deep Learning for Physics Seminar Series at Princeton Center for Theoretical Physics
- 19 Nov 2019 - "Looking into Jets with Machine Learning", Sebastian Macaluso, Particle Theory Seminar, Harvard University
- 17 Nov 2019 - "ML Acceleration with Heterogeneous computing for big data Physics", Philip Harris, SC19, H2RC
- 4 Nov 2019 - "Looking into Jets with Machine Learning", Sebastian Macaluso, Data Science Tea UMass
- 1 Nov 2019 - "Looking into Jets with Machine Learning", Sebastian Macaluso, NYU Physics x ML
- 19 Oct 2019 - "FPGA ML inference as a service on AWS", Markus Atkinson, FastML Co-processors Meeting
- 17 Oct 2019 - "Simulation-based inference, interpretability, and experimental design", Kyle Cranmer, Workshop on Interpretable Learning in Physical Sciences Part of the Long Program Machine Learning for Physics and the Physics of Learning
- 16 Oct 2019 - "Semantic Segmentation for CMS Pixel Clustering", Savannah Thais, US LHC Users' Association Meeting
- 16 Oct 2019 - "LHCb Status and Outlook", Daniel Craik, LHC Users Association Annual Meeting 2019
- 5 Oct 2019 - "Particle Physics in the context of Data Science", Kyle Cranmer, The 6th IEEE International Conference on Data Science and Advanced Analytics
- 30 Sep 2019 - "What does the Revolution in Artificial Intelligence Mean for Physics?", Kyle Cranmer, Joint PITT-CMU Physics Department Colloquium
- 27 Sep 2019 - "Simulation-based inference, causality, and active learning", Kyle Cranmer, AI and the Scientific Method, ETH, Zurich
- 25 Sep 2019 - "Benchmarks for ML4Jets research", Heiko Mueller, IRIS-HEP Topical Meeting
- 25 Sep 2019 - "Benchmarks for ML4Jets research", Sebastian Macaluso, IRIS-HEP Topical Meeting
- 24 Sep 2019 - "Looking into Jets with Machine Learning", Sebastian Macaluso, Princeton Pheno & Vino Seminar
- 13 Sep 2019 - "Histogramming and more", Henry Schreiner, 2019 IRIS-HEP Institute Retreat
- 12 Sep 2019 - "Introduction and Plans", Savannah Thais, IRIS-HEP Institute Retreat
- 12 Sep 2019 - "Introduction and Plans", Markus Atkinson, IRIS-HEP Institute Retreat
- 9 Sep 2019 - "The interplay between physically motivated simulations and machine learning", Kyle Cranmer, Machine Learning for Physics and the Physics of Learning Long Program at IPAM
- 8 Aug 2019 - "ACTS Status", Xiaocong Ai, USATLAS Summer Workshop
- 31 Jul 2019 - "ACTS: a common track reconstruction software", Xiaocong Ai, DPF 2019
- 31 Jul 2019 - "Ambiguity Resolution: Using Machine Learning", Nicholas Cinko, ACTS Developers Meetings
- 31 Jul 2019 - "Overview and Future directions for ML in particle and astro physics", Kyle Cranmer, Hammers & Nails 2019
- 25 Jul 2019 - "Vector Parallelism on Multi-Core Processors", Steve Lantz, Third Computational and Data Science school for HEP (CoDaS-HEP 2019)
- 25 Jul 2019 - "Introduction to Performance Tuning & Optimization Tools", Bei Wang, Third Computational and Data Science school for HEP (CoDaS-HEP 2019)
- 24 Jul 2019 - "Floating Point Arithmetic Is Not Real", Bei Wang, Third Computational and Data Science school for HEP (CoDaS-HEP 2019)
- 23 Jul 2019 - "The Machine Learning Landscape of Top Taggers", Sebastian Macaluso, 11th International Workshop on Boosted Object Phenomenology, Reconstruction and Searches in HEP (BOOST 2019)
- 24 Jun 2019 - "Future areas of focus for ML in particle physics", Kyle Cranmer, ATLAS Software and Computing Week
- 19 Jun 2019 - "SCAILFIN: Reproducible Open Benchmarks", Heiko Mueller, Analysis Systems Topical Meeting
- 19 Jun 2019 - "SCAILFIN: Reproducible Open Benchmarks", Sebastian Macaluso, Analysis Systems Topical Meeting
- 14 Jun 2019 - "Advances in Deep Learning motivated by Physics Problems", Kyle Cranmer, Theoretical Physics for Deep Learning
- 4 Jun 2019 - "Deep Learning for Higgs Boson Identification and Searches for New Physics at the Large Hadron Collider", Mark Neubauer, Blue Waters Symposium for Petascale Science and Beyond
- 29 May 2019 - "Machine learning in high-energy particle physics experiments, from simulation, through reconstruction to physics analysis", Heather Gray, Physics in Machine Learning Workshop
- 29 May 2019 - "The Primacy of Experiment", Kyle Cranmer, The Universe Speaks in Numbers
- 1 May 2019 - "Future areas of focus for ML in particle physics", Kyle Cranmer, Gotham City Physics X ML
- 17 Apr 2019 - "A hybrid deep learning approach to vertexing", Henry Schreiner, 3rd IML Machine Learning Workshop
- 15 Apr 2019 - "Future areas of focus for ML in particle physics", Kyle Cranmer, 3rd IML Machine Learning Workshop
- 11 Apr 2019 - "Update on the mkFit project", Mario Masciovecchio, Tracking POG Meeting during CMS Week (CMS restricted)
- 5 Apr 2019 - "Scalable Cyberinfrastructure for Artificial Intelligence and Likelihood-Free Inference", Mark Neubauer, NSF Large Facilities Workshop
- 3 Apr 2019 - "A hybrid deep learning approach to vertexing", Henry Schreiner, Connecting The Dots and Workshop on Intelligent Trackers 2019
- 20 Mar 2019 - "Machine Learning for the Primary Vertex reconstruction", Henry Schreiner, 2019 Joint HSF/OSG/WLCG Workshop
- 11 Mar 2019 - "Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks on Many-Core Architectures with the CMS Detector", Mario Masciovecchio, ACAT 2019
- 11 Mar 2019 - "A hybrid deep learning approach to vertexing", Henry Schreiner, 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research
- 20 Feb 2019 - "mkFit", Mario Masciovecchio, CMS Tracking mini-workshop 2019 (CMS restricted)
- 17 Feb 2019 - "Selected recent ideas in computing and their impact on high-energy physics", Heather Gray, 25th ICEPP Symposium
- 13 Feb 2019 - "Using ML on FPGAs to enhance reconstruction output", Dylan Rankin, IRIS-HEP Topical Meeting
- 6 Feb 2019 - "IRIS-HEP Innovative Algorithms", Heather Gray, IRIS-HEP Steering Board Meeting
- 6 Feb 2019 - "IRIS-HEP Innovative Algorithms", David Lange, IRIS-HEP Steering Board Meeting
- 13 Jan 2019 - "Ambiguity Resolution Studies with ACTS", Nicholas Cinko, Berkeley Tracking Workshop
- 13 Jan 2019 - "Workshop introduction", Heather Gray, Berkeley Tracking Workshop
- 13 Jan 2019 - "Ambiguity Resolution Studies with ACTS", Heather Gray, Berkeley Tracking Workshop
- 15 Nov 2018 - "Pulling Out All the Tops with Computer Vision and Deep Learning", Sebastian Macaluso, Machine Learning for Jet Physics
- 7 Nov 2018 - "Parallelized KF tracking with Matriplex & mkFit", Mario Masciovecchio, ECoM2X - WG4/5 meeting (CMS restricted)
- 19 Oct 2018 - "Design Roadmap for Future Collaborations", Mark Neubauer, Deep Learning for Multimessenger Astrophysics Real-time Discovery at Scale
- 12 Apr 2018 - "Parallel KF tracking", Mario Masciovecchio, Spring18 Offline Software and Computing week (CMS restricted)
IA Publications
- Exploring code portability solutions for HEP with a particle tracking test code, H. Ather et. al., arXiv 2409.09228 (13 Sep 2024).
- Line Segment Tracking: Improving the Phase 2 CMS High Level Trigger Tracking with a Novel, Hardware-Agnostic Pattern Recognition Algorithm, E. Vourliotis et. al., arXiv 2407.18231 (25 Jul 2024).
- The derivation of Jacobian matrices for the propagation of track parameter uncertainties in the presence of magnetic fields and detector material, B. Yeo, H. Gray, A. Salzburger and S. Swatman, Nucl.Instrum.Meth.A 1068 169734 (2024) (25 Mar 2024).
- LHCb potential to discover long-lived new physics particles with lifetimes above 100 ps, V. Gorkavenko, B. Jashal, V. Kholoimov, Y. Kyselov, D. Mendoza, M. Ovchynnikov, A. Oyanguren, V. Svintozelskyi and J. Zhuo, Eur.Phys.J.C 84 608 (2024) (21 Dec 2023) [4 citations].
- RenderCore – a new WebGPU-based rendering engine for ROOT-EVE, C. Bohak, D. Kovalskyi, S. Linev, A. Tadel, S. Strban, M. Tadel and A. Yagil, EPJ Web Conf. 295 03035 (2024) (18 Dec 2023).
- Generalizing mkFit and its Application to HL-LHC, G. Cerati et. al., EPJ Web Conf. 295 03019 (2024) (18 Dec 2023).
- High Pileup Particle Tracking with Object Condensation, Kilian Lieret, Gage DeZoort, Devdoot Chatterjee, Jian Park, et.al. High Pileup Particle Tracking with Object Condensation. Submitted to 8th International Connecting The Dots Workshop (Toulouse 2023) (06 Dec 2023).
- An Object Condensation Pipeline for Charged Particle Tracking, Kilian Lieret and Gage DeZoort. An Object Condensation Pipeline for Charged Particle Tracking. Submitted to 8th International Connecting The Dots Workshop (Toulouse 2023) (28 Sep 2023).
- Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC, S. Akar, M. Elashri, R. Garg, E. Kauffman, M. Peters, H. Schreiner, M. Sokoloff, W. Tepe and L. Tompkins, EPJ Web Conf. 295 09003 (2024) (21 Sep 2023) [1 citation].
- Fast And Automatic Floating Point Error Analysis With CHEF-FP, Garima Singh, Baidyanath Kundu, Harshitha Menon, Alexander Penev, David J. Lange and Vassil Vassilev, arXiv:2304.06441 [math.NA] (Submitted to IEEE International Parallel and Distributed Processing Symposium 2023) (13 Apr 2023).
- Speeding up the CMS track reconstruction with a parallelized and vectorized Kalman-filter-based algorithm during the LHC Run 3, S. Berkman et. al., arXiv 2304.05853 (12 Apr 2023) [2 citations].
- Equivariant Graph Neural Networks for Charged Particle Tracking, D. Murnane, S. Thais and A. Thete, arXiv 2304.05293 (11 Apr 2023) [9 citations].
- Comparing and improving hybrid deep learning algorithms for identifying and locating primary vertices, S. Akar, M. Peters, H. Schreiner, M. Sokoloff and W. Tepe, arXiv 2304.02423 (05 Apr 2023) [2 citations].
- Automatic Differentiation of Binned Likelihoods With Roofit and Clad, Garima Singh, Jonas Rembser, Lorenzo Moneta, David Lange and Vassil Vassilev, arXiv:2304.02650 [cs.MS] (Submitted to ACAT 2023) (04 Apr 2023).
- Progress towards an improved particle flow algorithm at CMS with machine learning, F. Mokhtar, J. Pata, J. Duarte, E. Wulff, M. Pierini and J. Vlimant, arXiv 2303.17657 (30 Mar 2023) [6 citations].
- Improving tracking algorithms with machine learning: a case for line-segment tracking at the High Luminosity LHC, Jonathan Guiang, Slava Krutelyov, Manos Vourliotis, Yanxi Gu, Avi Yagil, Balaji Venkat Sathia Narayanan, Matevz Tadel, Philip Chang, Mayra Silva, Gavin Niendorf, Peter Wittich, Tres Reid, Peter Elmer (for the CMS Collaboration), arXiv:2403.13166 (2023). (Submitted to CTD 2023) (Submitted to CTD 2023) (02 Feb 2023).
- LHC EFT WG Report: Experimental Measurements and Observables, N. Castro, K. Cranmer, A. Gritsan, J. Howarth, G. Magni, K. Mimasu, J. Rojo, J. Roskes, E. Vryonidou and T. You, arXiv 2211.08353 (15 Nov 2022) [11 citations].
- Exploration of different parameter optimization algorithms within the context of ACTS software framework, R. Garg, E. Hofgard, L. Tompkins and H. Gray, arXiv 2211.00764 (01 Nov 2022) [1 citation].
- Segment Linking: A Highly Parallelizable Track Reconstruction Algorithm for HL-LHC, P. Chang et. al., J.Phys.Conf.Ser. 2375 012005 (2022) (27 Sep 2022) [1 citation] [NSF PAR].
- Explainable AI for High Energy Physics, M. Neubauer and A. Roy, arXiv 2206.06632 (14 Jun 2022) [5 citations].
- Physics Community Needs, Tools, and Resources for Machine Learning, P. Harris et. al., arXiv 2203.16255 (30 Mar 2022) [10 citations].
- Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges, S. Thais, P. Calafiura, G. Chachamis, G. DeZoort, J. Duarte, S. Ganguly, M. Kagan, D. Murnane, M. Neubauer and K. Terao, arXiv 2203.12852 (23 Mar 2022) [32 citations].
- Jets and Jet Substructure at Future Colliders, B. Nachman et. al., Front.in Phys. 10 897719 (2022) (14 Mar 2022) [13 citations].
- Flow-based sampling in the lattice Schwinger model at criticality, M. Albergo, D. Boyda, K. Cranmer, D. Hackett, G. Kanwar, S. Racanière, D. Rezende, F. Romero-López, P. Shanahan and J. Urban, Phys.Rev.D 106 014514 (2022) (23 Feb 2022) [32 citations].
- The Quantum Trellis: A classical algorithm for sampling the parton shower with interference effects, S. Macaluso and K. Cranmer, arXiv 2112.12795 (23 Dec 2021) [2 citations].
- A non-linear Kalman filter for track parameters estimation in high energy physics, X. Ai, H. Gray, A. Salzburger and N. Styles, Nucl.Instrum.Meth.A 1049 168041 (2023) (17 Dec 2021) [2 citations] [NSF PAR].
- Graph Segmentation in Scientific Datasets, R. Sahay and S. Thais, Graph Segmentation in Scientific Datasets, Submitted to the Machine Learning and the Physical Sciences workshop at NeurIPS 2021 (13 Dec 2021).
- Simulation Intelligence: Towards a New Generation of Scientific Methods, A. Lavin et. al., arXiv 2112.03235 (06 Dec 2021) [2 citations].
- Graph Neural Networks for Charged Particle Tracking on FPGAs, A. Elabd et. al., Front.Big Data 5 828666 (2022) (03 Dec 2021) [25 citations] [NSF PAR].
- Explaining machine-learned particle-flow reconstruction, F. Mokhtar, R. Kansal, D. Diaz, J. Duarte, J. Pata, M. Pierini and J. Vlimant, arXiv 2111.12840 (24 Nov 2021) [10 citations].
- Applications and Techniques for Fast Machine Learning in Science, A. Deiana et. al., Front.Big Data 5 787421 (2022) (25 Oct 2021) [32 citations] [NSF PAR].
- Neural simulation-based inference approach for characterizing the Galactic Center γ-ray excess, S. Mishra-Sharma and K. Cranmer, Phys.Rev.D 105 063017 (2022) (13 Oct 2021) [38 citations].
- Evolutionary Algorithms for Tracking Algorithm Parameter Optimization, P. Chatain, R. Garg and L. Tompkins, EPJ Web Conf. 251 03071 (2021) (23 Aug 2021) [2 citations] [NSF PAR].
- A Common Tracking Software Project, X. Ai et. al., Comput.Softw.Big Sci. 6 8 (2022) (25 Jun 2021) [67 citations] [NSF PAR].
- Particle Cloud Generation with Message Passing Generative Adversarial Networks, R. Kansal, J. Duarte, H. Su, B. Orzari, T. Tomei, M. Pierini, M. Touranakou, J. Vlimant and D. Gunopulos, arXiv 2106.11535 (22 Jun 2021) [47 citations].
- Reframing Jet Physics with New Computational Methods, The 25th International Conference on Computing in High-Energy and Nuclear Physics, vCHEP 2021. (21 May 2021) [9 citations] [NSF PAR].
- A GPU-Based Kalman Filter for Track Fitting, X. Ai, G. Mania, H. Gray, M. Kuhn and N. Styles, Comput.Softw.Big Sci. 5 20 (2021) (04 May 2021) [6 citations] [NSF PAR].
- The Tracking Machine Learning Challenge: Throughput Phase, S. Amrouche et. al., Comput.Softw.Big Sci. 7 1 (2023) (03 May 2021) [27 citations].
- Exact and Approximate Hierarchical Clustering Using A*, The Conference on Uncertainty in Artificial Intelligence (UAI) 2021. (14 Apr 2021).
- Charged Particle Tracking via Edge-Classifying Interaction Networks, G. DeZoort, S. Thais, J. Duarte, V. Razavimaleki, M. Atkinson, I. Ojalvo, M. Neubauer and P. Elmer, Comput.Softw.Big Sci. 5 26 (2021) (30 Mar 2021) [38 citations] [NSF PAR].
- Instance Segmentation GNNs for One-Shot Conformal Tracking at the LHC, S. Thais and G. DeZoort, arXiv 2103.06509 (21 Mar 2021) [7 citations].
- Performance of a geometric deep learning pipeline for HL-LHC particle tracking, X. Ju et. al., Eur.Phys.J.C 81 876 (2021) (11 Mar 2021) [46 citations] [NSF PAR].
- Progress in developing a hybrid deep learning algorithm for identifying and locating primary vertices, S. Akar, G. Atluri, T. Boettcher, M. Peters, H. Schreiner, M. Sokoloff, M. Stahl, W. Tepe, C. Weisser and M. Williams, EPJ Web Conf. 251 04012 (2021) (08 Mar 2021) [4 citations] [NSF PAR].
- Deep Search for Decaying Dark Matter with XMM-Newton Blank-Sky Observations, J. Foster, M. Kongsore, C. Dessert, Y. Park, N. Rodd, K. Cranmer and B. Safdi, Phys.Rev.Lett. 127 051101 (2021) (03 Feb 2021) [114 citations].
- Introduction to Normalizing Flows for Lattice Field Theory, M. Albergo, D. Boyda, D. Hackett, G. Kanwar, K. Cranmer, S. Racanière, D. Rezende and P. Shanahan, arXiv 2101.08176 (20 Jan 2021) [60 citations].
- Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs, A. Heintz et. al., arXiv 2012.01563 (30 Nov 2020) [22 citations].
- Hierarchical clustering in particle physics through reinforcement learning, Machine Learning and the Physical Sciences, Workshop at the 34th Conference on Neural Information Processing Systems (NeurIPS), December 11, 2020 (16 Nov 2020) [4 citations].
- Semi-parametric gamma-ray modeling with Gaussian processes and variational inference, S. Mishra-Sharma and K. Cranmer, arXiv 2010.10450 (20 Oct 2020) [10 citations].
- FPGAs-as-a-Service Toolkit (FaaST), D. Rankin et. al., arXiv 2010.08556 (16 Oct 2020) [17 citations].
- FPGAs-as-a-Service Toolkit (FaaST), D. Rankin et. al., arXiv 2010.08556 (16 Oct 2020) [17 citations].
- Simulation-based inference methods for particle physics, J. Brehmer and K. Cranmer, arXiv 2010.06439 (13 Oct 2020) [15 citations].
- GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments, M. Wang, T. Yang, M. Acosta Flechas, P. Harris, B. Hawks, B. Holzman, K. Knoepfel, J. Krupa, K. Pedro and N. Tran, Front.Big Data 3 604083 (2021) (09 Sep 2020) [20 citations].
- Snowmass 2021 Letter of Interest: Emerging Computational Techniques for Jet Physics, Sebastian Macaluso, Kyle Cranmer, Matthew Drnevich, Johann Brehmer (New York University); Duccio Pappadopulo (N.A.); Atılım Gunes Baydin (Oxford); Matthew Schwartz (Harvard), Snowmass 2021 Letters of Interest (31 Aug 2020).
- Snowmass 2021 Letter of Interest: Jets and Jet Substructure at Future Colliders, The BOOST Community, Snowmass 2021 Letters of Interest (31 Aug 2020).
- Snowmass 2021 Letter of Interest: Graph Data Structures and Graph Neural Networks for High Energy Physics, X. Ju, M. Neubauer, L. Gray, A. Aurisano, T. R. F. P. Tomei, J.-R. Vlimant, J. Hewes, K. Terao, S. Thais, D. Murnane, Snowmass 2021 Letters of Interest (31 Aug 2020).
- Snowmass 2021 Letter of Interest: Fast Machine Learning, M.-A. Flechas, M. Atkinson, G.-Di Guglielmo, J. Duarte, F. Fahim, P. Harris, C. Herwig, B. Holzman, R. Kastner, M. Liu, C.-S. Moon, M. Neubauer, K. Pedro, A.-Q. Parra, D. Rankin, R. Rivera, N. Tran, M. Wang, T. Yang, J. Agar9, and E.-A. Huerta, Snowmass 2021 Letters of Interest (31 Aug 2020).
- Sampling using SU(N) gauge equivariant flows, D. Boyda, G. Kanwar, S. Racanière, D. Rezende, M. Albergo, K. Cranmer, D. Hackett and P. Shanahan, Phys.Rev.D 103 074504 (2021) (12 Aug 2020) [108 citations] [NSF PAR].
- Secondary vertex finding in jets with neural networks, J. Shlomi, S. Ganguly, E. Gross, K. Cranmer, Y. Lipman, H. Serviansky, H. Maron and N. Segol, Eur.Phys.J.C 81 540 (2021) (06 Aug 2020) [27 citations] [NSF PAR].
- GPU coprocessors as a service for deep learning inference in high energy physics, J. Krupa et. al., Mach.Learn.Sci.Tech. 2 035005 (2021) (20 Jul 2020) [26 citations] [NSF PAR].
- Tracking with A Common Tracking Software, Ai, Xiaocong, arXiv 2007.01239 (02 Jul 2020) [3 citations].
- An updated hybrid deep learning algorithm for identifying and locating primary vertices, S. Akar, T. J. Boettcher, S. Carl, H. F. Schreiner, M. D. Sokoloff, M. Stahl, C. Weisser, M. Williams, arXiv:2007.01023 [physics.ins-det] (Submitted to CTD2020) (02 Jul 2020).
- Discovering Symbolic Models from Deep Learning with Inductive Biases, M. Cranmer, A. Sanchez-Gonzalez, P. Battaglia, R. Xu, K. Cranmer, D. Spergel and S. Ho, arXiv 2006.11287 (19 Jun 2020) [57 citations].
- Speeding up particle track reconstruction using a parallel Kalman filter algorithm, S. Lantz et. al., JINST 15 P09030 (2020) (29 May 2020) [13 citations] [NSF PAR].
- Flows for simultaneous manifold learning and density estimation, Advances in Neural Information Processing Systems 34 (NeurIPS2020) (30 Mar 2020) [27 citations].
- Equivariant flow-based sampling for lattice gauge theory, G. Kanwar, M. Albergo, D. Boyda, K. Cranmer, D. Hackett, S. Racanière, D. Rezende and P. Shanahan, Phys.Rev.Lett. 125 121601 (2020) (13 Mar 2020) [160 citations] [NSF PAR].
- Detray: a compile time polymorphic tracking geometry description (submitted), Andreas Salzburger, Joana Niermann, Beomki Yeo, Attila Krasznahorkay, ACAT 2021 (27 Feb 2020).
- Data Structures & Algorithms for Exact Inference in Hierarchical Clustering, The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2467-2475, 2021. (26 Feb 2020) [3 citations].
- Set2Graph: Learning Graphs From Sets, Advances in Neural Information Processing Systems 34 (NeurIPS2020) (20 Feb 2020) [12 citations].
- Mining gold from implicit models to improve likelihood-free inference, Proceedings of the National Academy of Sciences; DOI:10.1073/pnas.1915980117 (20 Feb 2020) [100 citations].
- Reconstruction of Charged Particle Tracks in Realistic Detector Geometry Using a Vectorized and Parallelized Kalman Filter Algorithm, G. Cerati et. al., EPJ Web Conf. 245 02013 (2020) (15 Feb 2020) [3 citations] [NSF PAR].
- Normalizing Flows on Tori and Spheres, Thirty-seventh International Conference on Machine Learning (06 Feb 2020) [18 citations].
- Allen: A high level trigger on GPUs for LHCb, R. Aaij et. al., Comput.Softw.Big Sci. 4 7 (2020) (19 Dec 2019) [82 citations] [NSF PAR].
- Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning, The Astrophysical Journal, Volume 886, Number 1; DOI:10.3847/1538-4357/ab4c41 (19 Nov 2019) [76 citations] [NSF PAR].
- The frontier of simulation-based inference, Proceedings of the National Academy of Sciences DOI:10.1073/pnas.1912789117 (04 Nov 2019) [227 citations] [NSF PAR].
- Acts: A common tracking software, Ai, Xiaocong, arXiv 1910.03128 (07 Oct 2019) [11 citations].
- Hamiltonian Graph Networks with ODE Integrators, A. Sanchez-Gonzalez, V. Bapst, K. Cranmer and P. Battaglia, arXiv 1909.12790 (Submitted to Machine Learning For the Physical Sciences NeurIPS2019 Workshop) (27 Sep 2019) [11 citations].
- Etalumis: bringing probabilistic programming to scientific simulators at scale, Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC19), November 17--22, 2019 DOI:10.1145/3295500.3356180 (07 Jul 2019) [12 citations] [NSF PAR].
- Speeding up Particle Track Reconstruction in the CMS Detector using a Vectorized and Parallelized Kalman Filter Algorithm, G. Cerati et. al., arXiv 1906.11744 (Submitted to CTD/WIT 2019) (27 Jun 2019) [4 citations].
- A hybrid deep learning approach to vertexing, R. Fang, H. Schreiner, M. Sokoloff, C. Weisser and M. Williams, J.Phys.Conf.Ser. 1525 012079 (2020) (19 Jun 2019) [6 citations] [NSF PAR].
- Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks on Many-Core Architectures with the CMS Detector, G. Cerati et. al., J.Phys.Conf.Ser. 1525 012078 (2020) (05 Jun 2019) [3 citations] [NSF PAR].
- FPGA-accelerated machine learning inference as a service for particle physics computing, J. Duarte et. al., Comput.Softw.Big Sci. 3 13 (2019) (18 Apr 2019) [29 citations] [NSF PAR].
- Machine learning and the physical sciences, G. Carleo, I. Cirac, K. Cranmer, L. Daudet, M. Schuld, N. Tishby, L. Vogt-Maranto and L. Zdeborová, Rev.Mod.Phys. 91 045002 (2019) (25 Mar 2019) [740 citations] [NSF PAR].
- The Machine Learning landscape of top taggers, G. Kasieczka et. al., SciPost Phys. 7 014 (2019) (26 Feb 2019) [214 citations] [NSF PAR].
- Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model, Advances in Neural Information Processing Systems 33 (NeurIPS) (20 Jul 2018) [7 citations].
- Machine Learning in High Energy Physics Community White Paper, K. Albertsson et. al., J.Phys.Conf.Ser. 1085 022008 (2018) (08 Jul 2018) [239 citations].
- Adversarial Variational Optimization of Non-Differentiable Simulators, PMLR 89:1438-1447, 2019 (22 Jul 2017) [10 citations].
- QCD-Aware Recursive Neural Networks for Jet Physics, G. Louppe, K. Cho, C. Becot and K. Cranmer, JHEP 01 057 (2019) (02 Feb 2017) [188 citations].
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