Excited to announce that I'm looking for a PhD student to work on ML for biologics design starting this fall, to be co-advised by Dr Henry Moss (principal advisor; Cambridge University) & Tom Diethe (Tom Diethe)! Please reach out to me or Henry if interested (see below) (1/4)

We're now accepting applications for our PhD studentship on ML for protein/biologics design at the Universities of Cambridge & Manchester below! Please find instructions on how to apply at ai-decisions-cdt.github.io/hugo-pages/#ad…

We don't expect Bayesian methods to do so well at large scale, but we can now get decent improvements with variational learning to GPT-2. I wrote a blog about this (first one in a long time). Check it out! team-approx-bayes.github.io/blog/ivon/ Paper: arxiv.org/abs/2402.17641 A thread below.

Not quite but good try.

I'm super excited to finally share what we've been working on for a long time: Aurora, a foundation model of the atmosphere.

🚀We're excited to emerge from stealth and announce our $30M Seed financing round. A huge thank you to our incredible investor group including Hoxton Ventures, Basis Set, Lightspeed, Northzone, LocalGlobe, Touring Capital, Giant Ventures, FJ Labs, Zero Prime VC & Tiferes

1/📯I am hiring!📯 Two-year postdoctoral position in Sample-Efficient Probabilistic Machine Learning Computer Science @ University of Helsinki with strong links to Finnish Center for AI 🦣 @[email protected] Please see blurb below, and full ad here: helsinki.fi/en/researchgro…

Great opening for a postdoc in an awesome group ✨ Luigi is a fantastic PI and a creative researcher with a clear vision for the future of probabilistic ML. Helsinki is a great city to live in, and Finland is known as one of the happiest countries in the world 🇫🇮 Go apply!

Holes in Bayesian statistics (my talk tomorrow at the Bayesian conference, based on work with Yuling) statmodeling.stat.columbia.edu/2024/07/02/hol…

I started a YouTube channel! The videos will broadly fall into these categories: - Academia as an early career researcher - Technical data science and ML - Applied R and Python In my first video, I talk about my background and my plans for the channel: youtube.com/watch?v=5Z9yNE…

Meta's PyTorch teams published their actual roadmap documents publicly for the first time: dev-discuss.pytorch.org/t/meta-pytorch… Our engineers' incentives and objectives are laid bare for folks to read 🙂 While all PyTorch development happens publicly on github, the actual planning and

I’m *finally* publicly announcing my PhD thesis! It’s been over two years, but here it is: arxiv.org/abs/2408.09583 github.com/wesselb/phd-th… Since it’s been so long, this gives me an opportunity to look back and reflect. Some commentary below. 🧵 1/8

Very happy to have received the best paper award of 2023 by Computers & Chemical Engineering! Our goal was to make multi-fidelity and asynchronous BO practical for practitioners and it appears we succeeded. Thanks to my collaborators who made it all possible.

*JAX and Equinox - an Introduction* I wrote a short intro to building models with JAX and Equinox - using a trainable activation function as example. Let me know what you think! sscardapane.notion.site/JAX-and-Equino…

Announcement: the submission deadline for the NeurIPS Workshop on Bayesian Decision-making and Uncertainty has been extended! The new deadline is September 5, 2024, anywhere on earth. Looking forward to your submissions!

🚨🚨🚨 Exciting news! Bayes Comp 2025 is now accepting proposals for invited sessions and satellite workshops. Submit your proposals at bayescomp2025.sg by 31st October! #BayesComp2025 #CallForProposals

Jonathan Pillow Inference mixtape? A remix of all your favorite MCMC runs from the 90s!

📢TorchGeo 0.6.0 is now released! This adds 18 new datasets, 15 new datamodules, and 27 new pre-trained models, encompassing 11 months of work by 23 contributors 🔥 The mission is for machine learning experts to work with geospatial data, and for remote sensing experts to

We're looking for additional reviewers for the NeurIPS Workshop on Bayesian Decision-making and Uncertainty! If you're willing to review 2 workshop paper submissions, please sign up - link below!

About to start, pretty excited! Our new seminar course on Generative AI at Computer Science @ University of Helsinki. We focus mostly on LLMs, and a sprinkle of diffusion models. It'll be fun! Co-lecturing with N. Loka & Paul