Open models rarely get the most important step of development: real users & real feedback. Apertus 1.5 is now in Lumo, @ProtonPrivacy 's privacy-first assistant. Chats stay encrypted; users can choose to donate anonymised feedback to our team. Let's go!
ethz.ch/en/news-and-events/e…
📢 Call for Papers: Med-Reasoner @ NeurIPS 2026
Workshop on Medical Reasoning with Vision-Language Foundation Models
📍 Atlanta, GA · Dec 12–13, 2026
📝 Deadline: Aug 29, 2026 (AoE)
🔗 Submit: openreview.net/group?id=Neur…
🌐 Info: med-reasoner.github.io/neuri…
Generative models can’t discover what they can’t reach.
We’re excited to introduce ActFlow: a continued pre-training scheme that actively expands the valid design space reachable by flow and diffusion models. We call this generable set expansion — a new learning principle for out-of-distribution generative modeling, and a step toward evolvable search spaces for scientific discovery. (1/5)
I’m at #ICML2026 presenting several works on flow and diffusion models for discovery: from theory and algorithms to molecules, peptides, and proteins.
These works have been done with amazing students and collaborators at @ETH_AI_Center, Caltech, KTH, and UPenn, including @maltefranke_ , @KimonProto6689, @yapinghsieh, @cristianpjensen, Sven Gutjahr, Luca Schaufelberger, Zifan Wang, @_sophia_tang_, Bruce Lee, Chenghao Liu, @kjelljorner, Karl Henrik Johansson, @pranamanam, @yisongyue, and @arkrause.
Feel free to reach out if you’d like to chat these days at ICML!
Day 0 at @icmlconf and FAR.ai alignment workshop sets a high bar!
A full day of insightful conversations on reducing AI risk + predictable mech interp and an honour to moderate the lightning talks @farairesearch ✨
With the @ETH_AI_Center team: @arkrause@XinCynthiaChen@LukasFluri_ etc
The week is only just getting started in Seoul.
See you tomorrow: Oral 2C AI Safety & Alignment, Hall D2, Tue 7 Jul, 1:30 p.m.–2:30 p.m. KST icml.cc/virtual/2026/session…
Happy to share that SuperFlex is accepted to ECCV’26! 🇸🇪✨
SuperFlex as SuperDec is a feed-forward method for superquadric decomposition, but it achieves a huge jump in the reconstruction quality by incorporating deformable superquadrics and a novel loss function ✨
Meet the @ethaiclub, properly. 👋
We're the P2P AI community at @ETH_en where everyone builds and ships AI together as equals: students, staff (incl. professors), anyone.
100+ members, founded March 2026. Responsible AI by definition.
Read our manifesto 👉 ethaiclub.org
🧑💻 @AnthropicAI × @ETH_en AI Sprint: yesterday, 45 selected participants from the @ETH_AI_Center and @ethaiclub came together across 17 teams for an intensive one-day sprint. Best-practices & mentoring by the Zurich & SF Anthropic teams. At stake: CHF 6,000 ($8000) in prizes.
Winners:
🥇 "Mobile Camera to 3D Sound" by Levi Lingsch & @oroikonomou
🥈 "Chemistry AI Agent" by @maltefranke_ & Henrik Seng
🥉 "Gravitational Wave Co-Scientist" by Michele Vallisneri, @Uddi9, Giada Badaracco, & Giovanni Giarda
🏅 Audience prize: "Wolf AI" by Johannes Stölze
🎓 Last week, over 100 participants joined us to wrap up two of our Spring 2026 courses, Data Science Lab (DSL) & Projects in Machine Learning Research (PMLR), with poster sessions.
💡 DSL & PMLR give students hands-on experience with applied AI and AI research “in the wild”, respectively. Over the course of the semester, participants worked in teams and went through the full AI project lifecycle.
🙏 Thanks to all project proposers & supervisors for your invaluable input. Also a thank you to @ArnoutDevos for leading our courses & securing @claudeai Pro for all students, and to our PhD Fellow TAs @glanzillo11, Haoyang Zhou, & Paola Malsot for their crucial support!
Delighted to announce the next step in my career!
After my postdoc, I will begin a joint appointment at TU Wien and the Complexity Science Hub Vienna as an Assistant Professor in NLP! My deepest thanks to all who helped me along the way
I'm hiring—details on PhD positions below
Our recent finding on Diffusion Alignment: a reward model in pixel space can be easily transferred to score noisy diffusion latents directly — at small finetuning cost, via stitching.
This makes Faster & Better for both Training & Inference Alignment.
Meet StitchVM👇
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Long time no post! 👋
Excited to share that our 3rd AI for Math Workshop has been officially accepted at ICML 2026! 🎉
📍July 10, Seoul
🧠 Toward Self-Evolving Scientific Agents
📝 Paper submission open now!
🌐 Check out ai4math2026.github.io#ICML2026#AI4Math
Long time no post! 👋
Excited to share that our 3rd AI for Math Workshop has been officially accepted at ICML 2026! 🎉
📍July 10, Seoul
🧠 Toward Self-Evolving Scientific Agents
📝 Paper submission open now!
🌐 Check out ai4math2026.github.io#ICML2026#AI4Math