string_data 2020

Session

Physics meets ML seminar

16 Dec 2020, 18:00

Virtual only (CERN)

17. Leveraging Permutation Group Symmetries for the design of Equivariant Neural Networks

Haggai Maron (NVIDIA Research)

16/12/2020, 18:00

Learning of irregular data, such as sets and graphs, is a prominent research direction that has received considerable attention in the last few years. The main challenge that arises is which architectures should be used for such data types. I will present a general framework for designing network architectures for irregular data types that adhere to permutation group symmetries. In the first...

18. Learning to Unknot

Sergei Gukov (California Institute of Technology)

16/12/2020, 18:30

We will apply the tools of Natural Language Processing (NLP) to problems in low-dimensional topology, some of which have direct applications to the smooth 4-dimensional Poincare conjecture. We will tackle the UNKNOT decision problem and discuss how reinforcement learning (RL) can find sequences of Markov moves and braid relations that simplify knots and can identify unknots by explicitly...