Learning Club

Recording: https://us02web.zoom.us/rec/share/fHCCma3ibcwJDDysXJeiVXwJgIrZB2y6KP70r0lSoVx6f66BFk00LyWd7af-fPpy.RD5WoGdSZW92a31V?startTime=1638093861000 --------------------------------------------------------------------- Hey Everyone, On Sunday 28.11.2021, we will host Ron Levie from Ludwig Maximilian University of Munich. Zoom: https://us02web.zoom.us/j/86540744550?pwd=bTlWMnZSWU1KcHFaSVlaUmR3aDNNUT09 Meeting ID: 865 4074 4550 Passcode: 748585 Title A Theoretical Analysis of Generalization in Graph Convolutional Neural Networks Abstract In recent years, the need to accommodate non-Euclidean structures in data science has brought a ... Read more

The recording from Haggai's talk: https://us02web.zoom.us/rec/share/jCgJIjXL_UM5KV2z7NwgL3ij2SuLvrTLmVGF4OkI9Vk_J4RFfgYx79h9iC7Z41XQ.3FksbTtcNCIk-phG?startTime=1639303317000 On Sunday 12.12.2021, we will host Haggai Maron from NVIDIA Research. Zoom: https://us02web.zoom.us/j/85743049730?pwd=dVNRcVBJRlJxaTkrZzZkdSt1ajlUQT09 Meeting ID: 857 4304 9730 Passcode: 902259 Title:  Equivariant Subgraph Aggregation Networks Abstract: Message-passing neural networks (MPNNs) are the leading architecture for deep learning on graph-structured data, in large part due to their simplicity and scalability. ... Read more

On Sunday 19.12.2021, we will host Aviv Tamar from Technion. Zoom https://us02web.zoom.us/j/85352616833?pwd=ZDBQNVBESFg2cERlalRhbWNrbzIrQT09 Meeting ID: 853 5261 6833 Passcode: 897342 Title Generalization in RL - A Bayesian Perspective Abstract How can an agent learn to quickly perform well in an unknown task? This is the basic question in reinforcement learning (RL), and is critical for any ... Read more

The recording of the talk: https://us02web.zoom.us/rec/share/kIED6jkl9xH8y8pzyHAlYig11X11pbDjBqBsijV1kvrzIeOnElEr1ruFhTA1GVLN.vsmhBZvDEjvRx0Kc?startTime=1640513140000 Zoom https://us02web.zoom.us/j/83447514190pwd=cDVsc3Y0dWJOTFIwNlhSQmV5Vkpudz09 Meeting ID: 834 4751 4190 Passcode: 1212 Title The implicit bias of SGD: Minima stability analysis Abstract One of the puzzling phenomena in deep learning, is that neural networks tend to generalize well even when they are highly overparameterized. This stands in sharp contrast to classical wisdom, ... Read more