A winner of our 2025 Princess Royal Silver Medal 🏅, Alex Kendall founded $1 billion AI startup Wayve, 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

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

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.

Mike Tipping starting the 2025 ELLIS Summer School on Probabilistic #MachineLearning at Cambridge University.

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 👇

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

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

The SPIGM Workshop is back at NeurIPS Conference 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!

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

We'd love our flow-based generative models to learn the optimal transport from noise to data... but they rarely do ❌. Mini-batch Optimal Transport methods aim to fix this — but they're costly and require large batch sizes to work well... Can we approximate this behaviour

One more week to submit your cool work to our workshop!

Looking forward to this online reading group tomorrow!

Looking forward to this reading group, taking place tomorrow at 5pm UK time.

Looking forward to this reading group tomorrow at 4pm UK time. Zoom details in the post below.

Really looking forward to this workshop at the ELLIS unconference!