🔥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

📣 The final report from the High-level Advisory Body on AI, “Governing AI for Humanity,” is now available! 👉 un.org/ai-advisory-bo… The report presents key recommendations for global AI cooperation and ensuring equitable benefits. 🌐 #AIAdvisoryBody

#NeurIPS2024 notifications are out so it is time for an announcement! My two submissions on preference optimization with dueling bandits and bilevel optimization for MDPs have been accepted! Details in 🧵

#NeurIPS2024It is my pleasure to share that our work on Transition Constrained Bayesian Optimization has been accepted to NeurIPS2024. Amazing work by coauthors @ Imperial: Jose Pablo Folch @RuthMisener Calvin Tsay ETH: Andreas Krause, Weronica Ormaniec, and amazing scientists from BASF.

📢 We have a faculty opening in ETH CS Department Zurich in Systems for Data Science: ethz.ch/en/the-eth-zur… The position is open-rank (i.e., for an assistant or tenured professor). Feel free to reach out if you have questions. Looking forward to growing the ETH Systems Group! 😃

ETH and EPFL are intensifying their collaboration in #AI. They have founded the SNAI with the aim of addressing challenges in AI by leveraging their broad scientific expertise. Funding for the related #ResearchPrograms has been secured. brnw.ch/21wNq04 EPFL CSCS Lugano

📣We have a tenure-track faculty opening in Responsible AI at ETH CS Department: ethz.ch/en/the-eth-zur… ETH Zurich is a vibrant environment for AI research with the ETH AI Center etc. Please help spread the word!

📄 Bridging the Sim-to-Real Gap with Bayesian Inference arxiv.org/abs/2403.16644 Authors: Jonas Rothfuss*, Bhavya Sukhija*, Lenart Treven*, Florian Dörfler, Stelian Coros, Andreas Krause Time: 17:00 to 17:15 on Thursday, Model Learning for Control

📄 Data-Efficient Task Generalization Via Probabilistic Model-Based Meta Reinforcement Learning (RA-L) arxiv.org/abs/2311.07558 Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause Time: 10:45 to 11:00 on Wed, Reinforcement Learning I

📣Ph.D. Fellowship opportunities at the ETH Zurich Intelligent Systems Center for Learning Systems (CLS) joint doctoral program! Deadline November 5 2024 learning-systems.org/apply

Fully-funded #PhD in #ML at The University of Edinburgh (School of Informatics, The University of Edinburgh, ANC@Edinburgh), in 𝐠𝐞𝐨𝐦𝐞𝐭𝐫𝐢𝐜 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 and 𝐮𝐧𝐜𝐞𝐫𝐭𝐚𝐢𝐧𝐭𝐲 𝐪𝐮𝐚𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧. Application deadline: 15 Dec '24. Starting Sep '25. Details in the reply. Please RT and share with anyone interested!

Just announced: COMPL-AI (compl-ai.org), an open-source effort by LatticeFlow AI, SRI Lab at ETH Zurich and INSAIT Institute for benchmarking GenAI (LLMs) against a technical interpretation of the EU AI Act techcrunch.com/2024/10/16/lat…

An article by ETH Zurich on compl-ai.org, the first EU AI Act focused open-source evaluation framework for LLMs. LatticeFlow AI INSAIT Institute SRI Lab

📣Ph.D. and Postdoc Fellowships at the ETH AI Center (apply by Nov 19 '24)! ai.ethz.ch/education/phd-… Please spread the word! ETH Zurich ETH CS Department

Congratulations Parnian Kassraie and the other recipients!!

I am presenting two papers this week at #NeurIPS2024 focusing on preference-based RL! 1. Contextual Bilevel Reinforcement Learning for Incentive Alignment: #6505 West, 11AM, Thursday 2. Bandits with Preference Feedback: A Stackelberg Game Perspective: #5807 West, 11AM, Friday

Are you interested in how machine learning will shape the future of biocatalysis? Then join us for the ML for Biocatalysis Workshop in Zurich! 🧬🤖 Discover how ML & computational tools are advancing enzyme design and discuss challenges at the interface of wet lab and dry lab.

Reflecting back on an inspiring week at #AIHouseDavos - such a vibrant environment to discuss, with AI thought leaders across academia, industry and the public sector, challenges around safe and responsible AI, and harnessing AI for sustainable development! It was truly inspiring

What is the place of exploration in today's AI landscape and in which settings can exploration algorithms address current open challenges? Join us to discuss this at our exciting workshop at ICML Conference 2025: EXAIT! exait-workshop.github.io #ICML2025

Exciting work by our startup LatticeFlow AI ! Assessing risks associated with AI models on a deep technical level is essential for their successful deployment! ETH AI Center

🎉 Announcing our ICML2025 Spotlight paper: Learning Safety Constraints for Large Language Models We introduce SaP (Safety Polytope) - a geometric approach to LLM safety that learns and enforces safety constraints in LLM's representation space, with interpretable insights. 🧵