🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

🚨Looking for 2 postdocs to join UvA Faculty of Science AI4Science Laboratory 4 sustainable molecules & materials! Salt hydrates 4 thermal storage (with Shahidzadeh, Woutersen) Plant proteins 4 sustainable food (Bolhuis, van Hoof, Jabbari-Farouji, Quattrocchio, Schall) vacatures.uva.nl/UvA/job/4-Post…

Very proud of Julien Gustin and Norman's latest work on simulation-based inference for robotic grasping! 🤖🤏☕️ #sbi

It was rewarding to collaborate with Arnaud Delaunoy and Gilles Louppe on this topic! I'm proud of our work together! We aim to extend the toolbox for estimating conservative posteriors in simulation-based inference with the balance criterion. #sbi

Very proud of our very own Jim Boelrijk's work on bayesian optimization! Great work!

Lots of transition path sampling in one tweet at the Dutch Soft Matter Day in Amsterdam

Great work Benjamin Kurt Miller!

Are you at ICML Conference and interested in chatting about Clifford geometric algebras? Come by at our poster #534 from 11am onward!

First official release of the DeepQMC code for Quantum Monte Carlo with #NeuralNetworks wave functions, including architectures like PauliNet, FermiNet and DeepErwin. By Zeno Schätzle, P. Bernát Szabó, Matej Mezera and @jhrmnn arxiv.org/abs/2307.14123

⛱Pre-summer swyft release v0.4.4: swyft.readthedocs.io/en/latest/chan…

We are excited to announce that the Machine Learning For The Physical Sciences workshop will be back at NeurIPS Conference for its 7th edition! Updates will be announced through this Twitter account. Follow us ✨ Our website: ml4physicalsciences.github.io/2023/ #ML4PhysicalSciences

Yesterday, I presented our work "Simulation-based Inference with the Generalized Kullback-Leibler Divergence" which combines ratio and posterior estimation methods! It can even do it within the same (hybrid) model. openreview.net/forum?id=tPb1F…

New work on Clifford algebra equivariant networks by David Ruhe, Johannes Brandstetter and Patrick Forré

Nice opportunity to show off one of your methods!

Hey materials and molecules people! Check out this really cool API for the FAIR Chemistry In just a few lines you can interact your adsorbate with a surface!

Congrats David Ruhe! Really great work!

New exciting work by the AI4Science lab: geometric convolutional neural networks that work in any dimension and even pseudo-Euclidean geometries!

🚀 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

Large Language Models & Flow Matching & Materials? Bound to be interesting! Very impressive results too! (50% more stable unique and novel materials than previous works!) A nice continuation of works together with UvA AMLab , AI4Science Laboratory, AI at Meta, FAIR Chemistry.