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Introducing Meta’s Open Materials 2024 (OMat24) Dataset and Models! All under permissive open licenses for commercial and non-commercial use! Paper: arxiv.org/abs/2410.12771 Dataset: huggingface.co/datasets/fairc… Models: huggingface.co/fairchem/OMAT24 🧵1/x

Alert non-LLM internship position in Zurich Health AI 🍏🚨🧑‍💻 If you 1) have a strong background in deep probabilistic modeling, SBI, hybrid learning or causality 2) are curious about exciting health applications, you should apply! jobs.apple.com/en-il/details/…

A thread on quantum interference and the 6 year adventure it took me through In experimental particle physics we sift out events from signal (eg. Higgs) processes vs the orders of magnitude more events from background processes…

A milestone! 10 years ago I had an epiphany about using machine learning to approximate likelihood ratios, enabling statistical inference when your model is a complex simulator. Since then ~1000 papers on SBI have been published, but this is the 1st from the ATLAS Experiment 🧵

Congratulations to dr. Sindy Löwe for a awesome defense. It was a jolly good show!

Excited to share the first results using Neural Simulation-Based Inference (NSBI) techniques applied to ATLAS Experiment data! We measure the elusive off-shell Higgs boson with 3.1x better observation sensitivity than standard (histogram) analysis techniques! A thread: (1/N)

This new framework will extend the vision of the original "Madminer" papers by Kyle Cranmer , Johann Brehmer, Gilles Louppe and others to the LHC use case, potentially enabling wide-scale applications - accelerating discovery potential of the LHC (N/N)

Thrilled to announce that L-GATr is going to NeurIPS 2024! Plus, there is a new preprint with extended experiments and a more detailed explanation. Code: github.com/heidelberg-hep… Physics paper: arxiv.org/abs/2411.00446 CS paper: arxiv.org/abs/2405.14806 1/7

Professional milestone: our review paper “The Frontier of Simulation-Based Inference” coauthored with Gilles Louppe and Johann Brehmer hit 1000 citations. I’m very excited about the potential for these methods to transform science! pnas.org/doi/10.1073/pn… simulation-based-inference.org

We attempted to make Normalizing Flows work really well, and we are happy to report our findings in paper arxiv.org/pdf/2412.06329, and code github.com/apple/ml-tarfl…. [1/n]

The best paper award for the Algebra and Geometry track goes to "Does Equivariance Matter at Scale?" presented by Johann Brehmer.

Congratulations to Johann Brehmer Pim de Haan Taco Cohen ! Thanks for saving equivariance.

ICLR 2025 MLMP best poster award goes to "ViNE-GATr: scaling geometric algebra transformers with virtual nodes embeddings"! Congratulations Julian Suk, Gabriele Cesa , Thomas Hehn, Arash Behboodi!