GFlowNet Playground – Building an Intuitive Understanding of GFlowNet Training Explore the training behavior of GFlowNets, a model class that samples a diverse set of candidates in an active learning context.

Learn more about Generative Flow Networks in our new GFlowNet Playground - an interactive educational article to enhance intuitive understanding.

🎤 Presented at @visxai.bsky.social
👉 Explore the article here: gfn-playground.jku-vds-lab.at
🧑‍💻Flo, Alex, Andi, @alexhergar.bsky.social, Marc, and me :)

At #ACL2025 this week! Please reach out if you want to chat :)

We have two lovely posters:
Tues Session 2, 10:30-11:50 — Large Language Models Struggle to Describe the Haystack without Human Help

Wed Session 4 11:00-12:30 — ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering

this looks terrific, very excited to read

Accepted to EMNLP (and more to come 👀)! The camera ready version is now online---very happy with how this turned out

arxiv.org/abs/2507.01234

The @ai-env-summit.bsky.social is getting started 🚀 First speaker: the amazing @sarameghanbeery.bsky.social on species modeling 🦌

& fellow A Hoyle alexanderhoyle.bsky.social 💫

Proud to be among the initiators & drivers of this important development for AI made in Switzerland!

& the pivotal contributions to its success by
A Ilic M Gabriel D Naeff D Dobos A Klimovic A Krause

Special congrats to the team around I Schlag, including E Ďurech & our fellows I Hakimi B Pásztor

The Swiss AI Initiative 2nd Call for Large Grants is NOW OPEN! 🚀
Letter of Intent due: Aug 25, 2025
Full Proposal due: Sept 8, 2025
Full guidelines and submission details are available here: tinyurl.com/3utfdnsn

RL for real-world applications = offline learning + reward learning. How do we make this work?

Find out more at ICLR poster #377 at 10am today!

@gioramponi.bsky.social and I will be presenting our latest work on offline preference-based RL (joint w/ @gxxxr.bsky.social and Bernhard Schölkopf).

It was a pleasure to share my research with the Nordic research community! If you missed it, the recording will soon be online on RISE’s YouTube channel. In the meantime, check out the great many talks that came before: lnkd.in/dEnZpVAe and the upcoming @climateainordics.com workshop.

🎉 Today, @ddmitriev.bsky.social, our second PhD Fellow of the @eth-ai-center.bsky.social, graduated! He was supervised by ETH AI Center Faculty members Prof. Fanny Yang and Prof. Afonso Bandeira. Congratulations, Dr. Daniil Dmitriev! Next, he will join @upenn.edu as a Postdoctoral Researcher.

[1/2]Our work “Learning to steer Markovian Agents under Model Uncertainty” explores the problem of steering (unknown) learning dynamics in Markov Games towards desirable outcomes (e.g. Pareto optimal Nash).
My co-author Jiawei Huang is presenting it at ICLR on Apr 24, 3:00-5:30pm GMT+8, Poster #401.

✨What an insightful academic talk & discussion today at ETH AI Center on Scientific Inference with Diffusion Models by
@stephanmandt.bsky.social (@ucirvine.bsky.social), hosted by our Faculty member Julia Vogt (@ethzurich.bsky.social)

More talks, info, & registration: ai.ethz.ch/research/eve...

🪧 28 posters, 93 attendees, ∞ interactions. That sums up last week's Zurich Pre-ICLR 2025 poster session at ETH AI Center!✨

🌍 ETH AI Center together with its @ellis.eu Unit Zurich hosted an inspiring afternoon featuring posters from our talented academic community.

ETH AI Center Academic Talk Series (AICATS)

Co-organized with @ethzurich.bsky.social International Affairs & the Italian Embassy in Switzerland.

More talks, information, and registration: ai.ethz.ch/research/eve...

☯ "AI at the Service of Humankind". Last week, we had an exciting spotlight academic session at ETH AI Center, including 2 engaging talks and an insightful panel with Prof. Paolo Benanti (The Vatican), Prof. em. Mario Rasetti (PoliTo), and ETH AI Center Faculty Prof. @arkrause.bsky.social

More 👇

We've released our lecture notes for the course Probabilistic AI at ETH Zurich, covering uncertainty in ML and its importance for sequential decision making. Thanks a lot to @jonhue.bsky.social for his amazing effort and to everyone who contributed! We hope this resource is useful to you!

✨New Preprint ✨ Ever thought that reconstructing masked pixels for image representation learning seems sub-optimal?

In our new preprint, we show how masking principal components—rather than raw pixel patches— improves Masked Image Modelling (MIM).

Find out more below 🧵

Thanks for having me, it was great to visit!

🧬👨‍🏫 We had an interesting academic talk yesterday at ETH AI Center on "Effective Antibody Engineering with Protein Language Models" by Dr. Daniel Danciu (Cradle Bio), hosted by our ETH AI Center Faculty Prof. Dr. Gunnar Rätsch.

🔥 More talks, info, and registration: ai.ethz.ch/research/eve...

🤖🧑 We had an exciting academic talk today at ETH AI Center on "AI Interacting with People (through Language)" by Prof. Dr. @haldaume3.bsky.social (UMD), hosted by our ETH AI Center Postdoctoral Fellow Dr. @alexanderhoyle.bsky.social.

More talks, registration, & info: ai.ethz.ch/research/eve...

🎉 Yesterday, @alizeepace.bsky.social, our first PhD Fellow of the @eth-ai-center.bsky.social, graduated! She was supervised by ETH AI Center Faculty members Prof. Rätsch @gxxxr.bsky.social and Prof. Schölkopf. Congrats, Dr. Pace! Next, she will join Google DeepMind in Zurich as a Research Scientist.

Neuro-Symbolic AI for Analytical Solutions of Differential Equations Analytical solutions of differential equations offer exact insights into fundamental behaviors of physical processes. Their application, however, is limited as finding these solutions is difficult. To...

Still dreaming of a general analytical solution to Navier-Stokes? 😴 Keep dreaming… but maybe not for long!

Our latest work explores AI for symbolic solutions to PDEs—bringing us a step closer to solving fundamental equations in science.

Check it out!

#AI #MachineLearning #Science #PDEs #ETHZurich