Jose Miguel Hernández-Lobato

Hey everyone, I'm so excited to share my recent interview on Applications of Variational Autoencoders and Bayesian Optimization with @samcharrington for the @twimlai podcast. Check it out! twimlai.com/go/510 via @twimlai

Mike Tipping starting the 2025 @ELLISforEurope Summer School on Probabilistic #MachineLearning at @Cambridge_Uni.

There is an opening for a University Assistant Professor in Machine Learning to be based at @CambridgeMLG jobs.cam.ac.uk/job/49361/ Apply!

The SPIGM Workshop is back at @NeurIPSConf with an exciting new theme at the intersection of probabilistic inference and modern AI models! We welcome submissions on all topics related to probabilistic methods and generative models---looking forward to your contributions!

🌞🌞🌞 The third Structured Probabilistic Inference and Generative Modeling (SPIGM) workshop is **back** this year with @NeurIPSConf at San Diego! In the era of foundation models, we focus on a natural question: is probabilistic inference still relevant? #NeurIPS2025

It's been a busy and exciting first few days at #ICML2025! Huge congratulations to our members on their fantastic presentations so far. Here’s a recap of the work from our group so far. 🧵👇

The poster session at the 2025 #ELLISSummerSchool on Probabilistic Machine Learning is off to a great start! 🤩

Excited to share our ICML 2025 paper: "Scalable Gaussian Processes with Latent Kronecker Structure" We unlock efficient linear algebra for your kernel matrix which *almost* has Kronecker product structure. Check out our paper here: arxiv.org/abs/2506.06895

Exited to share our new paper accepted by ICML 2025 👉 “PTSD: Progressive Tempering Sampler with Diffusion” , which aims to make sampling from unnormalised densities more efficient than state-of-the-art methods like parallel tempering. Check our threads below 👇

There is an opening for a University Assistant Professor in Responsible Machine Learning at the Cambridge Department of Engineering: jobs.cam.ac.uk/job/51655/ Application deadline 16 July 2025.

Clearing out my old office and finding transparencies from my talks from 25 years ago...

A winner of our 2025 Princess Royal Silver Medal 🏅, @alexgkendall founded $1 billion AI startup @wayve_ai, solving longstanding challenges for self-driving cars with deep learning. Find out where its AI could go next in #IngeniaMag 👉 ingenia.org.uk/articles/wayve… #RAEngAwards

Really cool new work with amazing students and collaborators.

On the coming Tuesday, we will have Professor Gábor Csányi FRS talking about foundation models in Machine Learning Force Field, from 5pm to 6pm (UK time) 🚀. Abstract could be found in our slack: join.slack.com/t/molss/shared… Join us via zoom: us05web.zoom.us/j/7780256206?p…

Our first session will be on next Tuesday (Jan 3rd) from 3pm to 4pm (UK time) 🚀 This session will be given by @jmhernandez233 , talking about free energy estimation 🔥 Abstract could be found in our slack: join.slack.com/t/molss/shared… Join us via zoom : us05web.zoom.us/j/7780256206?p…

🎙️ It's tomorrow! Don’t miss our next talk in the @ELLISforEurope Cambridge Unit Seminar Series! We’re hosting Alain Oliviero-Durmus: "A Mixture-Based Framework for Guiding Diffusion Models" 📅 21 May 2025, 3pm 📍 CBL Seminar Room, Dept. of Engineering All welcome! #AI

Tomorrow the authors @YuanqiD and Jiajun He will present their paper "FEAT: Free energy Estimators with Adaptive Transport" arxiv.org/abs/2504.11516 Estimating free energy differences is a strong tool for comparing drug's binding affinities computationally Join us on zoom at…