SMARTBiomed Pioneer Centre just set up between Oxford and Danish institutions: smartbiomed.dk Various vacancies at postdoc level and up, for Statistical and computational Methods for Advanced Research to Transform Biomedicine. I am fortunate to be part of mentor pool :)

Second day at EEML starts with Yee Whye Teh's deep-dive tutorial on the latest and greatest in Bayesian Deep Learning. I am reminded of his fantastic NeurIPS'17 keynote on the same topic, which was among the highlights for me back then 🥳

Generative models for molecular optimization & protein design often rely on data-driven guidance functions for conditional sample generation. Our new #ICML2024 paper presents a simple but effective approach to improve their performance in OOD settings. arxiv.org/abs/2407.11942

Come join us at the #ICML2024 poster session to learn more about our paper Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design 📍Poster: Jul 25, 1130am, Hall C #111 📄arxiv.org/abs/2407.11942 💻github.com/leojklarner/co… w/ Leo Klarner Oxford Protein Informatics Group (OPIG) Yee Whye Teh

We are excited to showcase Women in Machine Learning, highlighting Jessica Shrouff, a Senior Research Scientist at Google DeepMind! 🌟 If you or someone you know is excelling in Machine Learning, we want to showcase your work too. Fill out the Google form: buff.ly/4bW5eF4

RobustLLMs workshop just started :)

❤️

Thank you Ulrich Paquet for your vision, leadership and hard work!

For AI students, researchers & entrepreneurs in London: algopreneurship.org Join our Autumn Summit on Open Problems in AI! What are the next set of challenges in AI research? What are key opportunities for application? Researchers and leaders from the UK’s top AI

Congrats, well-deserved!

Checking to see if the sky is bluer over at Yee Whye Teh.bsky.social

Postdoctoral fellowships and research engineer positions available for an Oxford+Singapore project on uncertainty quantification in LLMs! docs.google.com/document/d/1mI… Oxford deadline is Feb 26. Pls apply if interested, forward to your contacts, contact me if you have questions 🙏🙏

📣 Jobs alert: UQ in LLMs! We're looking to hire a Postdoctoral Fellow and a Research Engineer to work on uncertainty quantification in LLMs. The project is a collaboration between University of Oxford (Yee Whye Teh), NTU Singapore (Luke Ong) and NUS (Wee Sun Lee) #LLMs #hiring

Postdoc and research engineer opportunities working with Yee Whye!

Awesome work by Leo Zhang Kia and led by excellent and inspiring Rob Cornish !

🚀Introducing “StochasTok: Improving Fine-Grained Subword Understanding in LLMs”!🚀 LLMs are incredible but still struggle disproportionately with subword tasks, e.g., for character counts, wordplay, multi-digit numbers, fixing typos… Enter StochasTok, led by Anya Sims! [1/]

I'm so excited about StochasTok. It's such a simple and effective methods, leading to big win for sub-token understanding of LLMs, with very little loss in terms of code complexity, compute cost, or overall performance. Great work Anya Sims !

GEM❤️Tinker GEM, an environment suite with a unified interface, works perfectly with Tinker, the API by Thinking Machines that handles the heavy lifting of distributed training. In our latest release of GEM, we 1. supported Tinker and 5 more RL training frameworks 2. reproduced

Want to get an LLM agent to succeed in an OOD environment? We tackle the hardest case with SPA (Self-Play Agent). No extra data, tools, or stronger models. Pure self-play. We first internalize a world model via Self-Play, then we learn how to win by RL. Like a child playing