Virtual (Zoom details under abstract)


2021-10-20 14:00: Three-point bounds for sphere packing (David de Laat (Delft))

2021-11-03 14:00: Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training (Estelle Massart (Oxford))

2021-11-10 14:00: A medley of geometry, optimal transport, and machine learning (Varun Jog (Cambridge))

2021-12-01 14:00: Deep Denoising for Scientific Discovery (Carlos Fernandez-Granda (NYU))

2022-01-26 14:00: Deep and reliable – Uncertainty quantification using Empirical Bayesian deep neural networks. (Stefan Franssen (TU Delft))

2022-02-09 14:00: On the Sample Complexity of Learning with Geometric Stability (Alberto Bietti (NYU))

2022-03-09 14:00: Model free Deep Hedging (Josef Teichmann (ETH Zurich))

2022-04-27 16:00: Generative Modeling by Estimating Gradients of the Data Distribution (Stefano Ermon (Stanford University))