Nice writeup on work to extend barcoding models that can help with multiplexed protein detection!

The full peer-reviewed #AlphaZero paper published today in @sciencemagazine deepmind.com/blog/alphazero… along with more than 200 games which show off its beautiful style goo.gl/qZXHNN I hope you enjoy them! as a chess player, it feels like chess from another dimension :)

Are you ready? #ProChess twitch.tv/chessbrah

Check out our new preprint on using multi-area recurrent neural networks to better understand decision-making. This is joint work with first author Michael Kleinman and co-senior author @ChandMuse. biorxiv.org/content/10.110…

I'm going to be presenting our work on defining a notion of "usable information" and using it to study how optimal representations emerge during NN training! Today at 5pm PDT at ICLR 2021. openreview.net/pdf?id=p8agn6b…. W/ Alessandro Achille, Daksh Idnani, Jonathan Kao

1/5 Excited to finally share our new paper (led by Laura Driscoll, now a group leader at the Allen!) in Nature Neuroscience on modular computation in neural networks! We've explored how artificial recurrent networks handle multiple tasks, offering insights into flexible computation.

Excited to share the first paper of my PhD: Towards a theory of learning dynamics in deep state space models arxiv.org/abs/2407.07279 with Jimmy Smith, Michael Kleinman, Dan Biderman, and Scott Linderman. Accepted as a Spotlight talk at the NGSM workshop at ICML 2024!

🌟Announcing NeurIPS spotlight paper on the transition from lazy to rich🔦 We reveal through exact gradient flow dynamics how unbalanced initializations promote rapid feature learning co-led Allan Raventós and Clémentine Dominé, Phd 🍊 FENG CHEN David Klindt Andrew Saxe Surya Ganguli

Here are the pairings for Wednesday's @PROChessLeague match between The Montreal Chessbrahs and The Minnesota Blizzard! Tune in at 5:45 PM EST on twitch.tv/chessbrah