CSML IIT Lab

49 posts

CSML IIT Lab

@PontilGroup

Computational Statistics and Machine Learning Lab @IITtalk | PI: @MPontil | Statistical learning theory, ML for dynamical systems, ML for science, optimization.

Genoa, Italy Beigetreten Kasım 2024

32 Folgt32 Follower

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CSML IIT Lab@PontilGroup·15 Oca

1/ 🚀 Over the past two years, our team, CSML, at IIT, has made significant strides in the data-driven modeling of dynamical systems. Curious about how we use advanced operator-based techniques to tackle real-world challenges? Let’s dive in! 🧵👇

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CSML IIT Lab@PontilGroup·17 Ara

Almost 5 years in the making... "Hyperparameter Optimization in Machine Learning" is finally out! 📘🚀 From basic tuning to Bayesian optimization and meta-learning, we show how these techniques tie together in one self-contained guide. Check it out: 🔗 arxiv.org/abs/2410.22854

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CSML IIT Lab@PontilGroup·28 Kas

🚨 OpenReview might have leaked names, but it won't leak the best hyperparameters, unfortunately! 😅 Tired of the drama? Solve your HPO problems before the ICML deadline with this new book by our own Luca Franceschi & Massimiliano Pontil (& colleagues). arxiv.org/abs/2410.22854

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CSML IIT Lab@PontilGroup·14 Kas

He will also present an entropy-respecting forward–backward learning scheme that mitigates the inherent ill-posedness of stochastic learning problems. Join us for what promises to be a very insightful session!

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CSML IIT Lab@PontilGroup·14 Kas

In this talk, Arthur Bizzi will introduce Neural Kolmogorov Equations, a deterministic and parallelizable framework for learning continuous-time stochastic processes using Forward and Backward Kolmogorov Equations.

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CSML IIT Lab@PontilGroup·14 Kas

📢 Upcoming Talk at Our Lab We’re excited to host Arthur Bizzi from EPFL for a research talk next week! Title: Towards Neural Kolmogorov Equations: Parallelizable SDE Learning with Neural PDEs 🗓 Date: November 19 ⏰ Time: 16:00 CET 📍 Galileo Sala, CHT @IITalk

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CSML IIT Lab retweetet

Erfan Mirzaei@erfunmirzaei·22 Tem

📢 Now it’s out on arXiv! If you’re interested in theoretical guarantees for learning with dependent Hilbert-space data, check out our full paper: 📝 An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications 👉 arxiv.org/abs/2507.07826

Erfan Mirzaei@erfunmirzaei

🚨 Poster at #AISTATS2025 tomorrow! 📍Poster Session 1 #125 We present a new empirical Bernstein inequality for Hilbert space-valued random processes—relevant for dependent, even non-stationary data. w/ Andreas Maurer, @vkostic30 & @MPontil 📄 Paper: openreview.net/forum?id=a0EXk…

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CSML IIT Lab retweetet

Pietro Novelli@pie_novelli·27 May

New preprint out on arXiv: "Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems"! Read it here: pietronvll.github.io/encoderops/

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CSML IIT Lab retweetet

Daniel Felipe Ordoñez Apraez 🇨🇴@OrdonezApraez·11 May

Check out our new work on learning ambidexterous bi-manual (and multi-arm) manipulation via morphological symmetry exploitation with Equivariant NNs. Kudos to @softraeh for leading this work.

Zechu Li@softraeh

Unlike humans who favor a dominant hand for fine dexterous skills, robots should execute ambidextrous manipulation with equal proficiency. Introducing SYMDEX, our algorithm for Ambidextrous Bimanual Manipulation leveraging robot’s inherent bilateral symmetry as an inductive bias.

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CSML IIT Lab@PontilGroup·2 May

Excited to share our group’s latest work at #AISTATS2025! 🎓 Tackling concentration in dependent data settings with empirical Bernstein bounds for Hilbert space-valued processes. 📍Catch the poster tomorrow! 🔁 See original tweet for details!

Erfan Mirzaei@erfunmirzaei

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CSML IIT Lab@PontilGroup·10 Nis

🚨 We’re still hiring for this exciting Postdoc in Scientific ML! If you’re interested in ML for dynamical systems and/or PDEs, reach out to us directly — the link is outdated, but the position is open! 📩Contact us! 🔁RTs appreciated More info: ellis.eu/jobs/post-doc-… #postdoc

CSML IIT Lab@PontilGroup

🚨Postdoc Opportunity in Scientific Machine Learning 🚨 Join us in designing cutting-edge learning algorithms for simulating physical systems! Focus on ML for dynamical systems. @ELLISforEurope @IITalk Details: ellis.eu/jobs/post-doc-… 🌟 #postdocposition #postdoc

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CSML IIT Lab@PontilGroup·9 Nis

DeltaProduct is here! Achieve better state tracing through highly parallel execution. Explore more!🚀

Julien Siems@julien_siems

1/9 There is a fundamental tradeoff between parallelizability and expressivity of Large Language Models. We propose a new linear RNN architecture, DeltaProduct, that can effectively navigate this tradeoff. Here's how!

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CSML IIT Lab@PontilGroup·15 Oca

[P11] (submitted to The Journal of Chemical Physics) chemrxiv.org/engage/chemrxi… Kooplearn library: kooplearn.readthedocs.io/latest/ For the longer version of the thread, you can take a look at this blog post: vladi-iit.github.io/posts/2024-12-…

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CSML IIT Lab@PontilGroup·15 Oca

[P7] NeurIPS2024 arxiv.org/abs/2406.09028 [P8] NeurIPS2024 arxiv.org/abs/2407.01171 [P9] L4DC2024 arxiv.org/abs/2312.07457 [P10] (to appear in The International Journal of Robotics Research) arxiv.org/abs/2402.15552

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CSML IIT Lab@PontilGroup·15 Oca

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