Recent Attendances & Talks

I gave a talk at the AMS Special Session on Topological, Algebraic, and Geometric Methods for Safe, Robust, and Explainable Machine Learning

I delivered a talk in the Algebraic Geometry and Machine Learning Session, geared towards understanding distillation and exploring the possibility of structured distillation algorithms based on our NeurIPS paper “Should Under-parameterized Student Networks Copy or Average Teacher Weights?”

I was an invited participant in the Random Theory Workshop organized in beautiful Colorado.

I gave a lecture on landscape complexity of neural networks at the Analytical Approaches for Neural Network Dynamics Workshop at Institut Henri Poincaré. Yay!

I gave a talk at the Youth in High Dimensions conference in beautiful Trieste.

I attended the exciting Theoretical Physics of Machine Learning Winter Conference. I presented a poster there and had the chance to interact with fantastic researchers.

I attended the Spin Glass Workshop at the SwissMAP Research Station in Les Diablerets and presented a poster.

Young researchers from Switzerland and Japan presented their research. Finally I had the pleasure of giving a talk in person. See the workshop website for talks including mine.

I attended for one month to the Les Houches summer school to learn some physics and mathematics of machine learning from world-class teachers and participants.

I gave a talk at Math Machine Learning seminar MPI MiS + UCLA! Here is the link.

I gave a virtual talk on the loss Landscape geometry of neural networks! Here is the link.

We organized a virtual symposium at EPFL with a fantastic line-up of speakers. Here is the workshop website and here is my talk.

I gave a talk on our ICML 2021 paper on loss landscapes of neural networks at the ELLIS reading group.

I participated in the workshop in Istanbul and gave a talk. Here is the link.

I participated in the machine learning summer school in London. Here is the link.