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

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Journal club


Upcoming talks

Date Speaker Topic Paper(s) Slides
3/6/2018 Dan Roberts TBA TBA  
3/20/2018 Yoni Kahn TBA TBA  
4/3/2018 Ethan Dyer TBA TBA  
4/17/2018 Adam Brown A Critical Review of Quantum Machine Learning nature23474, arxiv:1611.09347  
5/1/2018 Josh Batson TBD TBD  
5/15/2018 Eric Mintun TBA TBA  
5/29/2018 ??? TBA TBA  

Past talks

Date Speaker Topic Paper(s) Slides
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