Sign in

Nash

@24nashavenue.bsky.social
9 followers 44 following 1 posts

ML research engineer @SorocoGlobal | Prev Research Fellow @JHUPhysicsAstro | PhD in Physics @KingsNMES

PostsRepliesMedia
Reposted by Nash
Jeremy Howard @howard.fm · 19/12/2024
I'll get straight to the point. We trained 2 new models. Like BERT, but modern. ModernBERT. Not some hypey GenAI thing, but a proper workhorse model, for retrieval, classification, etc. Real practical stuff. It's much faster, more accurate, longer context, and more useful. 🧵
19620147
Reposted by Nash
Tycho van der Ouderaa @tychovdo.bsky.social · 06/12/2024
🌟Noether's razor⭐️ Our NeurIPS 2024 paper connects ML symmetries to conserved quantities through a seminal result in mathematical physics: Noether's theorem. We can learn neural network symmetries from data by learning associated conservation laws. Learn more👇. 1/16🧵
310112
Reposted by Nash
Frank Noe @franknoe.bsky.social · 06/12/2024
Super excited to preprint our work on developing a Biomolecular Emulator (BioEmu): Scalable emulation of protein equilibrium ensembles with generative deep learning from @msftresearch.bsky.social ch AI for Science. www.biorxiv.org/content/10.1...
21441147
Reposted by Nash
Mathurin Massias @mathurinmassias.bsky.social · 27/11/2024
Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition! We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
1235299
Reposted by Nash
Ashesh Chattopadhyay @ashesh6810.bsky.social · 25/11/2024
Arvind, me, and Jonah released a new pre-print on some pen and paper analysis of fundamental failure modes and old school stability analysis for neural PDEs typically used in AI for Science application. arxiv.org/abs/2411.15101. 1/n
arxiv.org
What You See is Not What You Get: Neural Partial Differential Equations and The Illusion of Learning
Differentiable Programming for scientific machine learning (SciML) has recently seen considerable interest and success, as it directly embeds neural networks inside PDEs, often called as NeuralPDEs, d...
23212
Nash @24nashavenue.bsky.social · 15/11/2024
Walking around Boston, MA.
020