Join CuspAI in our mission to solve big challenges with ML & materials science. Now the opportunity to work with the brilliant @johannbrehmer.bsky.social!

Johann Brehmer@johannbrehmer.bsky.social · 8mo ago

Come work with us at @cuspai.bsky.social in the generative model team! Excited about flow / diffusion models and chemistry? Looking for impact? jobs.ashbyhq.com/cuspai/b8108... Join a great team lead by @wellingmax.bsky.social and Aron Walsh, work in Amsterdam / Cambridge / London / Berlin. 1/2

Come work with us at @cuspai.bsky.social in the generative model team! Excited about flow / diffusion models and chemistry? Looking for impact? jobs.ashbyhq.com/cuspai/b8108... Join a great team lead by @wellingmax.bsky.social and Aron Walsh, work in Amsterdam / Cambridge / London / Berlin. 1/2

Applied ML Researcher (Generative Models)

Due to growth, we are seeking an experienced Applied ML Researcher (Generative Models)* to join our growing team and build SOTA generative models to design new materials at CuspAI.

jobs.ashbyhq.com

It was great to work on the ODAC25 paper with the Meta FAIR Chemistry and Georgia Tech. A leap forwards in modelling direct air carbon capture with metal organic frameworks, with much better data and larger models. Paper: arxiv.org/abs/2508.03162 Data and models: huggingface.co/facebook/ODA...

The Open DAC 2025 Dataset for Sorbent Discovery in Direct Air Capture

Identifying useful sorbent materials for direct air capture (DAC) from humid air remains a challenge. We present the Open DAC 2025 (ODAC25) dataset, a significant expansion and improvement upon ODAC23...

arxiv.org

Hello Bluesky. May you fare better than the other place

Today at NeurIPS, we’ll be presenting our Noether's Razor paper! 📜✨ 📅 Today Fri, Dec 13 ⏰ 11 a.m. – 2 p.m. PST 📍 East Exhibit Hall A-C, #4710 (ALL the way in the back I believe!) w/ @mvdw.bsky.social @pimdh.bsky.social Come say hi! 👋

Tycho van der Ouderaa@tychovdo.bsky.social · 2y ago

🌟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🧵