I've found measure theory particularly helpful as a framework for thinking about sums of discrete + continuous probability distributions. Both of my source separation papers are grounded in intuitions from measure theory: arxiv.org/abs/2002.07942 arxiv.org/abs/2105.08164

Our recent work on developing a "physics aware" (or convex hull aware) active search method to more efficiently discover stable materials is now published in Materials Horizons! Link to PDF: pubs.rsc.org/en/content/art…

Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines ift.tt/PgEMZzX

📜 two very interesting, fundamental papers that shed light on when multi-fidelity (MF) Bayesian optimization (BayesOpt) is fruitful, compared to single-fidelity (SF) BayesOpt. arxiv.org/pdf/2410.00544 (led by Loïc Roch, Philippe Schwaller (he/him)) arxiv.org/abs/2409.07190 (led by Kim Jelfs)

UMN Computer Science & Engineering is recruiting tenure-track faculty focusing on "NLP" this year!! Our NLP presence is yet small, but plans to expand! If you have strong students in your lab, please encourage them to apply or contact me. Please come work with us. Retweets are appreciated. #NLProc

The deadline for our AI2ASE workshop is coming up on November 22, 2024 ai-2-ase.github.io/cop/. We invite all submissions at the intersection of AI and science/engineering domains. #AAAI2025

Really excited about this new work on Bayesian optimization for antibody design! It works by teaching a generative model how the human immune system evolves antibodies for strong and stable binders.

Led by the excellent Yassine Chemingui Yassine, we will be presenting our paper on "Constraint-Adaptive Policy Switching for Offline Safe RL" at @AAAI conference. Poster Session: Mar 1 (today), 12:30 to 2:30pm Oral Talk Session: Mar 2 (tomorrow), 2 to 3:15pm

Excited to share our latest on multimodal AI and agents for drug design and therapeutic reasoning #AAAI2025 AAAI 📅 Monday, 9 AM – AI2ASE: AI to Accelerate Science and Engineering, ai-2-ase.github.io/schedule/ 📅 Tuesday, 10 AM – AI4Research: Knowledge-Grounded Scientific

We are excited about this workshop, please join us if you are interested in AI for science. Please submit an abstract for your work, we have a track for lightning talks for abstracts!

Please help with my inventory of RL-trained humanoid whole-body controllers (WBCs) docs.google.com/spreadsheets/d… This will be the raw material for an upcoming blog post that distills the key differences and commonalities.

“guidelines for multi-fidelity Bayesian optimization of molecules and materials” check out our News & Views article in Nature Computational Science! was fun to write this summary/news article, with my PhD student Qia, about the fantastic paper of Víctor Sabanza Gil, …, Philippe Schwaller (he/him),

What is analogous to the motor cortex for humanoid robots? Answer: whole-body controller (WBC) Like the motor cortex it is easy to overlook but essential. This post surveys recent trends in learned WBCs -- part light tutorial, part survey. open.substack.com/pub/gofai2robo…