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I am at NeurIPS Conference. Message me if you want to chat about sampling, generative models, and ML4Astro/Science! 🪐💻

Life bucket list: ✅ Seeing a real life Star Wars robot Lightsaber fight, you’re next! NeurIPS Conference Disney

Last November, we organized a workshop at Mila - Institut québécois d'IA on GFlowNets. All the videos are now available online. If you want to learn more about GFlowNets and their applications, check out this blog post: mila.quebec/en/gflownets_a…

Announcing the Generative and Experimental Perspectives for Biomolecular Design workshop at #iclr2024! We hope to bring together researchers in ML and experimental biology to accelerate progress on real-world applications. Website: gembio.ai Paper deadline: Feb 3

ICML deadline 😴

Very proud to announce... LtU-ILI, an all-in-one framework for ML parameter inference in astro/cosmo!💻🔭🌌 github.com/maho3/ltu-ili We unified the neural nets, training methods, and validation metrics used at the forefront of ML+astro in one accessible package... (1/9)

No data? No problem🚀! Introducing iDEM a new method to sample from Boltzmann distributions. arXiv: arxiv.org/abs/2402.06121 co-led with Tara Akhound Sadegh, Jarrid Rector-Brooks and amazing collaborators: Sarthak Mittal Pablo Lemos Chenghao Liu Marcin Sendera Siamak Ravanbaksh Yoshua Bengio

Absolutely second this, amazing person to work with!

I am thrilled to announce that I have officially started my new job as an AI Research Scientist at Dreamfold. I feel grateful to have met many wonderful people during my 8.5 years in astrophysics. I am excited to use generative AI to revolutionize the way we treat diseases!

Do you want to work on creating the largest collection of virtual universes to date? Would you like to explore these with state-of-the-art deep-learning techniques? Do you want to use these simulations to unveil the mysteries of the Universe? Consider applying to our 4.5 months

Can we perform unbiased bayesian posterior inference with a diffusion model prior? We propose Relative Trajectory Balance (RTB) which allows us to directly optimize for this posterior model. We apply this to several tasks in image, language and control!🧵arxiv.org/abs/2405.20971

We are thrilled to announce FoldFlow-2: our new SOTA protein structure generative model. w/ Guillaume Huguet James V @FatrasKilian Eric TL Pablo Lemos Riashat Islam Chenghao Liu Jarrid Rector-Brooks Tara Akhound Sadegh Michael Bronstein @ICLR2025 🇸🇬 Alex Tong Joey Bose 🪄 Blog post: dreamfold.ai/blog/foldflow-2

Introducing FoldFlow-2, a new SOTA sequence-conditioned protein generative model! work w/ Dreamfold James V @FatrasKilian Eric TL Pablo Lemos Riashat Islam Chenghao Liu Jarrid Rector-Brooks Tara Akhound Sadegh Michael Bronstein Alex Tong Joey Bose Arxiv: arxiv.org/abs/2405.20313 1/8 🧵

Finally FoldFlow-2 is out. It's the best protein generative model out there! Such a dream to work on this with the dream team Dreamfold

By extracting non-Gaussian cosmological information on galaxy clustering at non-linear scales, a framework for cosmic inference (SimBIG) provides precise constraints for testing cosmological models. ChangHoon Hahn Shirley Ho David Spergel et al.: nature.com/articles/s4155…

Amazing to see our work in Nature Astronomy!

You heard all about AI accelerating simulations (maybe from me?), but do you know... How can AI tell you what is in the Universe? Our new series of work from #SimBIG team led by ChangHoon Hahn published recently by Nature Astronomy did just that! Interesting things we did:

I am happy to announce that I am returning to Madrid, after more than 11 years living abroad, and that I am starting a new position as a Staff Research Scientist in Machine Learning & Biopharma at SandboxAQ . Excited to join this amazing team!