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Flatiron-Wide Machine Learning (FWML)

Conference

When

  • – ET

  • All Day

  • – ET

Where

Flatiron Institute, 162 Fifth Avenue

160 Fifth Avenue

New York, NY 10010

The use of ML in science has ballooned over the past few years, and similarly, the number of scientists at Flatiron who specialize in ML or in applying ML to scientific problems. The goal of this meeting is to bring together the ML experts and practitioners across the different centers as well as to bring this collective expertise to other scientists across the foundation whose problems can potentially benefit from ML methods.

The tentative format of the conference is roughly twelve 15-minute talks (2-3 talks from each center) followed by 10-minute questions. We also plan to have lots of time for discussions and brainstorming. We hope that FWML will help solidify the FI as a leading institution in ML research, both pure and applied to the sciences.

June 5, 2023

Mariel Pettee: Weakly-Supervised Anomaly Detection in the Milky Way

June 5, 2023

Pierre-Étienne Fiquet: Neural Representative for Predictive Processing of Dynamic Visual Signals

June 5, 2023

Géraud Krawezik: Machine Learning Resources at FIHot Topics: GPUs

June 5, 2023

Bruno Régaldo-Saint Blancard: Wavelet Scattering Statistics for Astrophysics

June 6, 2023

Matija Medvidović: Neural-Network Quantum States

June 6, 2023

Wenda Zhou: An Introduction to Neural Signal Representations

June 6, 2023

Charles Margossian: Amortized Variational Inference: When and Why?

June 6, 2023

Zahra Kadkhodaie: Using the Prior Implicit in a Denoiser to Solve Linear Inverse Problems Stochastically

June 6, 2023

Open Problems

June 7, 2023

Anna Dawid: Interpreting neural networks for physics

June 7, 2023

Miles Cranmer: Symbolic distillation of neural networks

June 7, 2023

Kaze Wong: Hot Topic: Transformers

June 7, 2023

Open Problems

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Speakers

Ofer Aharony, Aleksey Cherman, Gabriel Cuomo SISSA, Davide Gaiotto, Jaume Gomis, + 3 more