New paper alert: Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training arxiv.org/abs/2506.09433

arxiv.org/abs/2506.23008

Any interests in extracting invariant functions or physical laws from complex environments? Check our new ICML paper “Discovering Physics Laws of Dynamical Systems via Invariant Function Learning” at arxiv.org/abs/2502.04495! #ICML2025

Our 500+ page AI4Science paper is finally published: Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. Foundations and Trends® in Machine Learning, Vol. 18, No. 4, 385–912, 2025 nowpublishers.com/article/Detail…

AI+Science book is now up, After years of work, our book on Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems is available at Foundations and Trends® in Machine Learning. We cover the history of works in the intersection of AI and Science, to

Our group is currently looking for a #compchem #postdoc to start in Fall 2025. Primary area of research will be with the NSF Center for the Mechanical Control of Chemistry (CMCC), with second focus in organic materials/molecular design. More info at: dtaborgroup.com/openings/

Reviewer 2: Thank you for addressing all my concerns. I will, however, leave my score unchanged.

It will be 100% accurate if I replace NeurIPS AC with a line of code like: NeurIPS AC = min();

Received the hard copy of our book on AI for Science from my dear PhD supervisor Shuiwang Ji ✨ Check it out on Foundations and Trends in Machine Learning if interested!

Texas A&M University College of Engineering 2025-2030 Strategic Plan: engineering.tamu.edu/about/strategi…

Congrats Monte engineering.tamu.edu/news/2025/10/c…