Recent Recordings of IRIS-HEP and other related events
Several on IRIS-HEP and HL-LHC tracking
3 May 2022
Several on IRIS-HEP and LHCb
3 May 2022
Sofia Graziano on Rotationally Equivariant Graph Neural Networks
1 Nov 2021
Kyle Feist on Evolutionary Algorithm for Optimization of Track Reconstruction at a Muon Collider
1 Nov 2021
Eric Moreno on Anomaly Detection with Spiking Neural Networks
27 Oct 2021
Rohith Karur on ANNs for ACTS
18 Oct 2021
Braden Kronhein on Jet Correction and Simulation with Quantile Neural Networks
18 Oct 2021
Ali Hariri on Graph Generative Models for Fast Detector Simulations in Particle Physics
6 Oct 2021
Shravan Chaudhari on Accelerating End-to-End Deep Learning Reconstruction using Graph Neural Networks
6 Oct 2021
Sukanya Krishna on Particle Graph Autoencoders for Real-Time Jet Anomaly Detection
20 Sep 2021
Farouk Mokhtar on GPU-accelerated Machine-learned Particle-flow Reconstruction
20 Sep 2021
Jason Wong on Developing Lorentz Equivariant Graph Neural Networks for Jet Tagging
20 Sep 2021
Varun Sreenivasan on Graph Methods for Particle Tracking
8 Sep 2021
Nupur Oza on Deep Learning for Ambiguity Resolution in ACTS
8 Sep 2021
Multiple Speakers on IRIS-HEP: Analysis Systems and the Analysis Grand Challenge
14 May 2021
Lindsey Gray on Thoughts on developing robust interfaces to systematics
12 May 2021
Ben Messerly on Systematic uncertainty handling in MINERvA
12 May 2021
Anish Biswas on Enabling auto-differentiation for Awkward Array functions
10 May 2021
Kyungeon Choi on Towards Real-World Applications of ServiceX, an Analysis Data Transformation System
10 May 2021
Jan Strube on ILC Software & Computing
21 Apr 2021
Javier Duarte on FAIR Framework for Physics-Inspired AI in HEP
21 Apr 2021