Past talks:
Harnessing Data Revolution in Quantum Matter
Eun-Ah Kim, Cornell University, 12:00 EDTEuclidean 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 EDT
For link and password to the talks, please
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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.