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
5/1/2018 Adam Brown Quantum Machine Learning nature23474, arxiv:1611.09347  
5/15/2018 Eric Mintun TBA TBA  
5/29/2018 Dima Krotov Dense Associate Memory & Adversarial Inputs NIPS 2016, arxiv:1701.00939  
6/12/2018 Ethan Dyer TBA TBA  
6/19/2018 Yasaman Bahri Deep Learning and Quantum Entanglement arXiv:1704.01552  

Past talks

Date Speaker Topic Paper(s) Slides
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