hep-ai

high energy physics (hep) - artificial intelligence (ai)

Welcome to the website for hep-ai.

Journal club

Schedule

Upcoming talks

Date Speaker Topic Paper(s) Slides
7/10/2018   Cancelled due to ICML    
7/24/2018 Adam Brown Fun in High-Dimensional Spaces    
8/7/2018 Yasaman Bahri Deep Learning and Quantum Entanglement arXiv:1704.01552  
8/21/2018 Boris Hanin TBA TBA  
9/4/2018 TBA TBA TBA  
9/18/2018 TBA TBA TBA  
10/2/2018 TBA TBA TBA  
10/16/2018 TBA TBA TBA  
10/30/2018 TBA TBA TBA  

Past talks

Date Speaker Topic Paper(s) Slides
6/26/2018 David Schwab Renormalizing Data Koch-Janusz & Ringel and past work and a future idea Not Yet
6/19/2018 Everyone Generative Query Networks – Discussion Eslami, et al. No
6/12/2018 Ethan Dyer InfoGAN - Disentangled Latent Representations arXiv:1606.03657 Yes
5/29/2018 Dima Krotov Dense Associative Memory & Adversarial Inputs NIPS 2016, arxiv:1701.00939 Yes
5/15/2018 Eric Mintun Attention e.g. arxiv:1409.0473, arxiv:1702.00887, arxiv:1706.03762 Yes
5/1/2018 Adam Brown A Critical Review of Quantum Machine Learning nature23474, arxiv:1611.09347 Yes
4/17/2018 Josh Batson Equivariance in Deep Learning arxiv:1703.06114, arxiv:1801.10130 Yes
4/3/2018 Shay Moran Generalization and Simplification in Statistical Learning   Yes
3/20/2018 Yoni Kahn Training Pruned Neural Networks arxiv:1803.03635 No
3/6/2018 Paul Christiano AI Safety, Human Feedback, Robustness + Transparency arxiv:1706.03741 + others Yes
2/20/2018 Jamie Sully Adversarial Examples arxiv:1801.02774 Yes
2/6/2018 Boris Hanin When do exploding and vanishing gradients happen? arxiv:1801.03744 Yes
1/23/2018 Guy Gur-Ari Three Factors Influencing Minima in SGD arxiv:1711.04623 Yes
1/9/2018 Max Kleiman-Weiner Hierarchical RL and Eigenoptions arxiv:1703.00956, arxiv:1710.11089 Yes
12/26/2017 Yoni Kahn Spontaneous Symmetry Breaking and Informtion Bottlenecks arxiv:1710.06096 Yes
12/12/2017 Eric Mintun Capsule Networks Hinton, Krizhevsky, Wang, arxiv:1710.09829 Yes
11/21/2017 Jared Kaplan Varitional Information Maximizing Exploration and Curiosity-Driven Self-Supervision arxiv:1605.09674, arxiv:1705.05363 Yes
11/7/2017 DJ Strouse Information Bottlenecks and Variational Inference arxiv:1612.00410 No
10/24/2017 Jamie Sully AlphaGo Zero nature24270 Yes
10/10/2017 Dan Roberts Intro to RL and Distributional RL arxiv:1707.06887 Yes
9/26/2017 Ethan Dyer Learning to RL & RL2 arxiv:1611.02779, arxiv:1611.05763 Yes
9/12/2017 Guy Gur-Ari Learning to Learn and Metalearning arxiv:1606.04474, arxiv:1703.03400 Yes
8/29/2017 Jaehoon Lee KFAC arxiv:1503.05671 No