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vincefort.bsky.social
PI at Helmholtz AI, Faculty at TU Munich, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar. Prev: Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research. https://fortuin.github.io/
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Reminder: AISTATS journal-to-conference track.

This excellent interactive tutorial on misleading data visualizations explores the idea of a "counter chart" — the graph you draw in response to refute a misleading claims flowingdata.com/projects/dis...

Great news for everyone struggling with concurrent AABI and UAI submissions: We've extended the AABI deadline by one week, so there's no excuse not to submit anymore 😉

Who is the person who convinces con ferences to do doub le column. Name yourself, coward

➡️ January 20: FAA director fired ➡️ January 21: Air Traffic Controller hiring frozen ➡️ January 22: Aviation Safety Advisory Committee disbanded ➡️ January 28: Buyout/retirement demand sent to existing employees ➡️ January 29: First American mid-air collision in 16 years Making America Great Again!

Reminder about postdoc and doctoral positions with option to select me as the supervisor for Bayesian topics. The call closes February 2nd. See also many other topics in ML and AI in Finland

Definitely consider submitting your work to UAI, it's fantastic conference! And while you're at it, why not submit a shorter version to the AABI workshop track (deadline Feb 7)? 😉

📢PSA: #NeurIPS2024 recordings are now publicly available! The workshops always have tons of interesting things on at once, so the FOMO is real😵‍💫 Luckily it's all recorded, so I've been catching up on what I missed. Thread below with some personal highlights🧵

AABI is back! This year, for the first time in Asia (co-located with ICLR in Singapore). Send us all your new probabilistic ML papers, the deadline is just a few days after the ICML one!

TMLR is now on Bluesky: be sure to follow @tmlrorg.bsky.social!

"Questionable practices in machine learning" arxiv.org/pdf/2407.12220

This is a great PhD program for probabilistic ML, please do consider applying and share it with interested students! (also consider choosing me as a potential advisor)

We're excited to announce the ICML 2025 call for workshops! The CFP and submission advice can be found at: icml.cc/Conferences/.... The deadline is Feb 10. Submit some creative proposals!

I made a reverse chronological feed of everyone I follow with reposts and replies removed, so only original posts and quote posts appear. There's a lot less rage bait and I enjoy this feed a lot more than the default Following feed. You can make your own using @graze.social like this.

Merry Bayesmas to those who are celebrating 🎅🏻

We uploaded yesterday on arXiv a paper on a variant of the "Mutual Information bound" taylored to analyze statistical estimators (MLE, Bayes and variational Bayes, etc). I assume I should advertise for it after the holidays, but in case you are still online today: arxiv.org/abs/2412.18539

With “Tübingen Women in Machine Learning”, Claire Vernade and her team have created a local community. Their aim is to empower women and make them more visible. Read more on our blog: www.machinelearningforscience.de/en/a-network... @twiml.bsky.social #TWiML #WiML

The slides for my lectures on (Bayesian) Active Learning, Information Theory, and Uncertainty are online now 🥳 They cover quite a bit from basic information theory to some recent papers: blackhc.github.io/balitu/ and I'll try to add proper course notes over time 🤗

Two amazing papers from my students at #NeurIPS today: ⛓️💥 Switch the vocabulary and embeddings of your LLM tokenizer zero-shot on the fly (@bminixhofer.bsky.social) neurips.cc/virtual/2024... 🌊 Align your LLM gradient-free with spectral editing of activations (Yifu Qiu) neurips.cc/virtual/2024...

📢 Another paper at #NeurIPS2024! 📰 "FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning" Read it here: arxiv.org/abs/2407.13711 Details in 🧵

Good summary of OpenAI, Anthropic and xAI

This essay by Jeremy Kun is the single text that has most influenced my research. Strongly recommended reading

This is a really great graduate school (and you can select me as advisor), so please apply and share with potentially interested students!

My group is hiring postdoc(s) and I will be at #NeurIPS2024 if you want to talk - send me a DM or find me on Whova! UK-based, 2 year position. We work on AI/ML for health, specifically building and *understanding/explaining* deep (multimodal) models on healthcare data, especially medical imaging.

Great to see a strong @helmholtzai.bsky.social presence at #NeurIPS2024

Very honored to have been elected an @ellis.eu Scholar in the program for Robust Machine Learning: ellis.eu/programs/rob... What better way to celebrate it than to speak at the ELLIS UnConference in Bad Teinach?

The ELLIS UnConference is underway in Bad Teinach 🇩🇪 . ELLIS Fellows & Scholars network in small, focused group settings and dive deeper in a participant-driven format. Top #AI & #ML scientists from 11 different countries in Europe are connecting this week!

Optimizing the marginal likelihood encoding the idea of Occam's razor leads to more sparsifiable neural networks. The title is 🔥

The goal of every graph algorithm researcher? Make a lasting contribution. Design an algorithm for the edges

A lovely review of what sounds like an amazing book! (With 1-2 quotations that really sell the style of it!)

Looks like Gerver's sofa is optimal. arxiv.org/pdf/2411.19826

Sharks are older than the rings of Saturn. This paper finds that the rings are no older than 400M years. Sharks date back to at least the Late Ordovician Period, 450M years ago.

Heading to #NeurIPS2024 next week to present EigenVI: score-based variational inference with orthogonal function expansions Link: arxiv.org/abs/2410.24054 Poster: Friday 7:30pm, East Exhibit Hall A-C #3900

“Shaving Weights with Occam’s Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood” is at #NeurIPS2024! This would not have been possible without Rayen Dahri* who lead the project, Alex Immer, Stephan Günnemann, and @vincefort.bsky.social ! 1/3