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Stephan Mandt @stephanmandt.bsky.social · 22/04/2026

If I had to bet on LLM infrastructure impact, this might become the most important paper from my lab. This ICLR paper intrinsically parallelizes language models, building on ideas from normalizing flows. 🚀

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Stephan Mandt @stephanmandt.bsky.social · 10/02/2026

Really excited to see this. I’ve been involved since the early AABI days, and it’s been incredible to see the trajectory — from NeurIPS/ICML workshops, to a symposium, and now to a full conference as ProbML. Huge thanks to the program/general chairs and the whole organizing team!

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Stephan Mandt @stephanmandt.bsky.social · 17/11/2025

Recently gave a @leapstc.bsky.social lecture at Columbia and at UCLA on a question I’m excited about: How can we design diffusion models for scientific inference—uncertainty-aware, calibrated, steerable, and heavy-tailed? www.youtube.com/watch?v=QeLZ...

youtube.com

Scientific Inference with Diffusion Generative Models

YouTube video by LEAP

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Stephan Mandt @stephanmandt.bsky.social · 02/05/2025

Congratulations to Metod and the team on winning the ICLR QUESTION workshop's Best Paper Award! 🎓

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Stephan Mandt @stephanmandt.bsky.social · 22/04/2025

Just gave a talk on Scientific Inference with Diffusion Models at ETH AI Center, sharing our recent work—from test-time control and distributional matching to uncertainty calibration. Great crowd, thoughtful questions, nice view. Thanks, Julia Vogt, for hosting!

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Stephan Mandt @stephanmandt.bsky.social · 09/04/2025

Thrilled to share that my student Justus Will and former student Yibo Yang had their work selected as an ICLR 2025 Oral (top 2%)! Presenting the first runtime-efficient progressive coding method using diffusion models. 👇

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Stephan Mandt @stephanmandt.bsky.social · 07/03/2025

Excited to start my sabbatical at ETH Zurich! The CS department treated me to a beautiful apartment. In exchange, I brought the California sun with me. 😎

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Stephan Mandt @stephanmandt.bsky.social · 24/01/2025

Happy to announce three #ICLR2025 papers: 1️⃣ Heavy-tailed diffusion models (Kushagra Pandey + #Nvidia collaborators) 2️⃣ Progressive Compression w/ Universally Quantized Diffusion (Yibo Yang + Justus Will) 3️⃣ AstroCompress Benchmark (with UC Berkeley Physicists) More details soon! 🚀

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Reposted by Stephan Mandt

Jes Frellsen @jesfrellsen.bsky.social · 10/01/2025

Excited about 🎓 Generative Modeling Summer School / Statlearn 🗓️ Mar 31 - Apr 4, 2025, France ℹ️ gemss.ai 🎟️ Deadline: Jan 27, 2025 🧑‍🏫 Yingzhen Li, @stephanmandt.bsky.social, Aude Sportisse, Anna Korba, @glouppe.bsky.social, @jesfrellsen.bsky.social, @pamattei.bsky.social, @jmtomczak.bsky.social, TBA

gemss.ai

Generative Modeling Summer School (GeMSS)

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Reposted by Stephan Mandt

Padhraic Smyth @padhraicsmyth.bsky.social · 05/12/2024

Congratulations to newly minted PhD, Gavin Kerrigan, @gavinkerrigan.bsky.social . Not too hard to spot who Gavin is in the photo alongside his thesis committee.

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