October 4, 2023
Kwangjun Ahn (LIDS)
n this talk, I'll be talking about interesting phenomena arising in Deep Learning optimization. In particular, based on a simple yet canonical model, we will discuss how the neural networks learn the "correct" classifiers. Surprisingly,...
October 24, 2023
Guangchun (Grant) Ruan (LIDS)
The performance and service life of electric vehicle (EV) batteries degrade deadly in cold climate, and heating is a common-but-expensive option to survive EVs in this case. Coordinating the heating and charging demand at scale has great potential...
October 25, 2023
Behrooz Tahmasebi (CSAIL)
Group-invariant probability distributions appear in many data-generative models in machine learning, such as graphs, point clouds, and images. In practice, one often needs to estimate divergences between such distributions. In this work, we study...
