Mario 🇺🇦 💙💛 🇮🇱 + Scientific Machine Learning @ScientificML
{ Visual & Tensor Computing; Grad student in ML4Science; Vision, Deep Neural Networks, Optimization, and SciML Simulation; Python/NumPy, PyTorch, JAX, *nix,git} github.com/kmario23 Mars Joined February 2010-
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Mario 🇺🇦 💙💛 🇮🇱 + Scientific Machine Learning retweeted
In a recent interview I talk about what it takes for AI to make new scientific discoveries. tldr: it won’t be just LLMs. newindiaabroad.com/english/techno…
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Mario 🇺🇦 💙💛 🇮🇱 + Scientific Machine Learning retweeted
Poster: iclr.cc/virtual/2025/p… Hall 3 + Hall 2B #32, 10am Singapore time Paper: arxiv.org/abs/2408.01536
Mario 🇺🇦 💙💛 🇮🇱 + Scientific Machine Learning retweeted
🚨ICLR poster in 1.5 hours, presented by Daniel Musekamp: Can active learning help to generate better datasets for neural PDE solvers? We introduce a new benchmark to find out! Featuring 6 PDEs, 6 AL methods, 3 architectures and many ablations - transferability, speed, etc.!
Mario 🇺🇦 💙💛 🇮🇱 + Scientific Machine Learning retweeted
Thrilled to receive the outstanding paper award together with @Mangal_Prakash_ for our work on SE(3)-Hyena arxiv.org/abs/2407.01049 !🤘 Go long-convolutions!
Thrilled to receive the outstanding paper award together with @Mangal_Prakash_ for our work on SE(3)-Hyena arxiv.org/abs/2407.01049 !🤘 Go long-convolutions!
Mario 🇺🇦 💙💛 🇮🇱 + Scientific Machine Learning retweeted
📢 Come by our #ICML2024 poster "Neural Operators with Localized Integral and Differential Kernels"! 🚀 We propose two extensions of standard convolutional layers to operator learning! Location: Poster #216, 11:30 - 13:00 CEST @AnimaAnandkumar @julberner @Azizzadenesheli
Mario 🇺🇦 💙💛 🇮🇱 + Scientific Machine Learning retweeted
The WaterLily.jl preprint is now available on arXiv! 📰 arxiv.org/abs/2407.16032 WaterLily is a #CFD solver written in the #JuliaLang for incompressible flow and moving bodies. Together with @gabrielweymouth, we provide the main numerical methods, the design behind the 1/2
Mario 🇺🇦 💙💛 🇮🇱 + Scientific Machine Learning retweeted
Please come to the poster and chat with Jan and @ScientificML Mario!
Please come to the poster and chat with Jan and @ScientificML Mario!
Mario 🇺🇦 💙💛 🇮🇱 + Scientific Machine Learning retweeted
“Starship is the kind of thing that makes people from little kids to seniors excited about the future.” — Elon Musk
Mario 🇺🇦 💙💛 🇮🇱 + Scientific Machine Learning retweeted
Super excited to share that I successfully defended my PhD thesis "Understanding Generalization and Robustness in Modern Deep Learning" today 👨🎓 A huge thanks to the thesis examiners @SebastienBubeck, @zicokolter, and @KrzakalaF, jury president Rachid Guerraoui, and, of course,…
Mario 🇺🇦 💙💛 🇮🇱 + Scientific Machine Learning retweeted
📢#AI4Science Talk on 12.02.24 at 15:00 (CET) / 09:00 (ET) on “Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths” by Lars Holdijk. Join us on Zoom if you're interested! Details: ai4sciencetalks.github.io/projects/pips_… #ML4science #MDSimulations
Mario 🇺🇦 💙💛 🇮🇱 + Scientific Machine Learning retweeted
🚨Princeton ML Theory Summer School🚨 Aug 6 - 15, 2024 Speakers: * F. Krzakala/L. Zdeborova @KrzakalaF @zdeborova * S. Rakhlin * B. Lourerio @_brloureiro * M. Austern * D. Krotov @DimaKrotov * J. Altschuler Details: mlschool.princeton.edu Sponsors:…
Mario 🇺🇦 💙💛 🇮🇱 + Scientific Machine Learning retweeted
Please join us tomorrow for this interesting presentation if you're interested to learn about self-supervised learning applied to PDEs. #AI4Science #ML4Science #PDEs
Please join us tomorrow for this interesting presentation if you're interested to learn about self-supervised learning applied to PDEs. #AI4Science #ML4Science #PDEs
Mario 🇺🇦 💙💛 🇮🇱 + Scientific Machine Learning retweeted
My group is hiring a large cohort of interns for the summer of 2024 to work on the Foundations of Large Language Models! Come help us uncover the new physics of A.I. to improve the LLM building practices! (Pic below from our NeurIPS 2023 paper w. interns) jobs.careers.microsoft.com/global/en/job/…
Mario 🇺🇦 💙💛 🇮🇱 + Scientific Machine Learning retweeted
📢#AI4Science Talk on 30.11.23 at 15:00 (CET) / 09:00 (ET) on “Self-Supervised Learning with Lie Symmetries for Partial Differential Equations” by @garridoq_. Please join us on Zoom if you're interested! Details: ai4sciencetalks.github.io/projects/ssl4p… #ML4science #AI4Science #Simulations #PDEs
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