In around an hour (at 3:45pm PST), I'll be giving a talk about jailbreaking LLM-controlled robots at the AdvML workshop at #NeurIPS2024 in East Ballroom C. I'll be at the poster session directly afterward as well if anyone wants to chat about this work! 🤖

I am proud to announce that I have concluded #NeurIPS2024 ranked 15th on the Whova points leaderboard. I could not have done this without my brilliant collaborators who gave me the courage and strength to grind through 170+ community polls.

Check out our recent paper on layer-wise preconditioning methods for optimization and feature learning theory:

A few days ago, we dropped 𝗮𝗻𝘁𝗶𝗱𝗶𝘀𝘁𝗶𝗹𝗹𝗮𝘁𝗶𝗼𝗻 𝘀𝗮𝗺𝗽𝗹𝗶𝗻𝗴 🚀 . . . and we've gotten a little bit of pushback. But whether you're at a frontier lab or developing smaller, open-source models, this research should be on your radar. Here's why 🧵

This is today at #ICLR2025

Our book “Formal Methods for Multi-Agent Feedback Control Systems” - which is uniquely situated at the intersection of (nonlinear) feedback control, formal methods, and multi-agent systems - got published today, see mitpress.mit.edu/9780262049719/… 😊

I’ll be presenting our paper “On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning” at ICML during the Tuesday 11am poster session! DL opt is seeing a renaissance 🦾; what can we say from a NN feature learning perspective? 1/8

Swing by our poster session today at 11 if you're at ICML to learn more about speeding up neurosymbolic learning! We will be in the East Exhibition Hall A-B, # E-2003