Upcoming talks:
Feature Learning in Infinite-Width Neural Networks
Greg Yang, Microsoft Research, 12:00 EDTQuantum Machine Learning in High Energy Physics
Sofia Vallecorsa, CERN, 12:00 EDTTBA
Michelle Ntampaka, Space Telescope Science Institute, 12:00 EDTPast talks:
Euclidean Neural Networks: Adventures in learning with 3D geometry and geometric tensors.
Tess Smidt, Lawrence Berkeley Laboratory, 12:00 EDTFlow-based likelihoods for non-Gaussian inference.
Ana Diaz Rivero, Harvard University, 12:00 EDTNeural Scaling Laws and GPT-3
Jared Kaplan, Johns Hopkins University, 12:00 EDTMachine learning as a discovery tool in hep-th
Vishnu Jejjala, University of Witwatersrand, 12:00 EDTScience is a verb: adopting the scientific method and best practices in AI research
Michela Paganini, Facebook AI Research, 12:00 EDTInsights on gradient-based algorithms in high-dimensional learning
Lenka Zdeborova, EPFL, 12:00 EDT
For link and password to the talks, please
sign up for the Physics ∩ ML mailing list.
Videos may be found on our YouTube channel and slides by clicking on past talk titles.
Videos may be found on our YouTube channel and slides by clicking on past talk titles.