📢Call for papers📢 Publish your research in MLST's open focus issue on #MachineLearning and the #PhysicalSciences. This issue provides an opportunity to showcase research at the interface of these research areas. Submission deadline: 31 July 2024 👉ow.ly/AXZr50Sn2ve

Registration for #AABI2024 in 📷Vienna📷 (co-located with ICML) is now open at aabi2024.eventbrite.com !! Spots are free but limited, so get your tickets quick!⏩

🥠 Excited to introduce our latest work on Equivariant Neural Fields (ENFs)! Grounding conditioning variables in geometry 🚀 Paper: arxiv.org/abs/2406.05753 Github: github.com/dafidofff/enf-… Project Page: dafidofff.github.io/enf-jax/ Details below 👇👇

My team is releasing something we have been cooking for a while: a program synthesis library herb-ai.github.io trying to make new synthesisers easier to develop. Join us at #JuliaCon this week to learn more or, even better, help us develop it further!

🚀 Interested in time series generation?⏲️Excited to share my Google DeepMind Amsterdam student researcher project: Rolling Diffusion Models! arxiv.org/abs/2402.09470 (to appear at ICML 2024) Thanks for the great collaboration Emiel Hoogeboom, Jonathan Heek, Tim Salimans! 🧵1/4

How to discover complex #symmetry from high-dimensional dynamical systems? Check out our #ICML2024 paper on ``Latent Space Symmetry Discovery''! Paper: arxiv.org/abs/2310.00105 Code: github.com/Rose-STL-Lab/L… (1/3)

At UAI 2024 tomorrow, visit Metod Jazbec at poster #171 (16:30 CET), where he will present "Early-Exit Neural Networks with Nested Prediction Sets": arxiv.org/abs/2311.05931 w/ Patrick Forré, Stephan Mandt, Dan Zhang

I will be at ICML Conference next week presenting 2 papers and 2 workshop papers. I'm also on the job market! Please reach out if you're interested in discussing generative models, geometric DL, or AI4Science.

📍I'll be AABI this Sunday and ICML Conference next week. If you're interested in diffusion models, feel free to reach out! 👨‍💼I hope to see you on Tuesday, July 23rd, in Hall C from 4-9 PM at Booth #712 to discuss Neural Diffusion Models!

Come see our #ICML2024 poster on partially observable #CRL tomorrow 🚀 In this work w/ Danru Xu Dingling Yao Sébastien Lachapelle Julius von Kügelgen Perouz Taslakian Francesco Locatello we leverage #partial #observations to identify #causal representations for linear and piecewise linear mixing functions

So… we trained a model and we wrote a paper about it. Have fun y’all! llama.meta.com/llama-download… ai.meta.com/research/publi…

🤔 Ever wondered why Relaxed Group Convolutions take the lead even in 𝐟𝐮𝐥𝐥𝐲 equivariant tasks? We dive deep into how the equivariance imposed on a network affects its training dynamics 🔎 👉 Take a look at our blog post for GRaM Workshop at ICML 2024 at tinyurl.com/458k7x4a

Come see our poster #715 on CodeIt today at #ICML2024 13.30-15.00 Halle C. We approach ARC by self-improving LLMs with prioritized hindsight replay. Blaze(j) Manczak 🇵🇱🇱🇺🇪🇺 Auke Wiggers Corrado Rainone David Zhang Michaël Defferrard Taco Cohen

It's time for some GRaM Workshop at ICML 2024 workshop updates happening at #ICML2024 on the 27th of July. We have a great list of invited speakers and panelists. We have Rose Yu Rose Yu , Phillip Isola Phillip Isola , Nina Mialone Nina Miolane , Joey Bose Joey Bose , Zahra Kadkhodaie

At #NeurIPS2024, Dec 9-15th, 2024, an exciting workshop on #AI4Science, solvers, computational methods, PDEs, sciences, engineering, #NeuralOperators, PINNs, surrogate model, data-driven algorithmic computing, and MLonFunctionSpaces, d3s3workshop.github.io Deadline: late Aug

Opportunity to work in safe and ethical AI at the Turing, apply by Sep 8 cezanneondemand.intervieweb.it/turing/jobs/se… cezanneondemand.intervieweb.it/turing/jobs/re… (Apply to whichever one fits your experience better)

We are hiring a postdoc! Come work with us in the booming AI ecosystem of beautiful Amsterdam on generative AI and/or uncertainty quantification 🤗 🎇vacatures.uva.nl/UvA/job/Postdo…

PhD position available in my group UvA Amsterdam for a motivated student interested in working on the interface of #MachineLearning and #MolecularModeling to design catalyst materials. Further details: vacatures.uva.nl/UvA/job/PhD-Ca… RT appreciated AI4Science Laboratory Van 't Hoff Institute for Molecular Sciences UvA jobRxiv