Very delighted to announce the next step in my career! After my postdoc at ETH, I will begin a joint appointment at TU Wien and the Complexity Science Hub Vienna as an Assistant Professor in NLP. I'm so grateful to all who helped me along the way And yes, I’m hiring! Details on PhD positions below

Applications are open for the Swiss AI Initiative’s 3rd Call for Large Grants. Projects in foundation model research or high-impact AI domains can receive major compute (10–15M GPU hours) plus funding. Deadline: March 31. Guidelines: https://ow.ly/ZxqV50Ykczy

Application Guidelines - Swiss AI Large Projects - Aug 2025

Swiss AI Initiative - Call for Large Grants Application Guidelines This is the document for the large grants. For the small grants, see here. Introduction AI advances are progressing at a speed and scale never seen before, with unprecedented opportunities for disruptive breakthrough applicatio...

ow.ly

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 :)

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.

gfn-playground.jku-vds-lab.at

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

Alexander Hoyle@alexanderhoyle.bsky.social · last yr.

Evaluating topic models (and document clustering methods) is hard. In fact, since our paper critiquing standard evaluation practices four years ago, there hasn't been a good replacement metric That ends today (we hope)! Our new ACL paper introduces an LLM-based evaluation protocol 🧵

this looks terrific, very excited to read

Ethan Mollick@emollick.bsky.social · 11mo ago

LLMs introduce a huge range of new capabilities for research, but also make it possible for researchers to "hack" their results in new ways by how they chose to use models for annotation This is a useful pass at quantifying some of the risk, and some mitigation strategies arxiv.org/pdf/2509.08825

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

Alexander Hoyle@alexanderhoyle.bsky.social · last yr.

New preprint! Have you ever tried to cluster text embeddings from different sources, but the clusters just reproduce the sources? Or attempted to retrieve similar documents across multiple languages, and even multilingual embeddings return items in the same language? Turns out there's an easy fix🧵

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

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

ETH Zurich@ethz.ch · 11mo ago

EPFL, ETH Zurich, and CSCS today released Apertus, Switzerland's first large-scale, multilingual language model (LLM). As a fully open LLM, it serves as a building block for developers and organizations to create their own applications. ethz.ch/en/news-and-...

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...

ETH AI Center Academic Talk Series (AICATS)

ai.ethz.ch

Stephan Mandt@stephanmandt.bsky.social · last yr.

Just gave a talk on Scientific Inference with Diffusion Models at ETH AI Center, sharing our recent work—from test-time control and distributional matching to uncertainty calibration. Great crowd, thoughtful questions, nice view. Thanks, Julia Vogt, for hosting!

🪧 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.

☯ "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!

Jonas Hübotter@jonhue.bsky.social · last yr.

I'm very excited to share notes on Probabilistic AI that I have been writing with @arkrause.bsky.social 🥳 arxiv.org/pdf/2502.05244 These notes aim to give a graduate-level introduction to probabilistic ML + sequential decision-making. I'm super glad to be able to share them with all of you now!

✨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.

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

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...

arxiv.org