Stephan Mandt
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stephanmandt.bsky.social
Stephan Mandt
@stephanmandt.bsky.social
AI Professor @UCIrvine | Formerly @blei_lab, @Princeton | #GenAI, #Compression, #AI4Science | General Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg
Congratulations to Metod and the team on winning the ICLR QUESTION workshop's Best Paper Award! 🎓
Great too see that our Generative Uncertainty won the best paper award at the ICLR QUESTION workshop (uncertainty-foundation-models.github.io). If you're interested in what Bayesian/ensembling methods can bring to the world of diffusion models, check out the paper 👇

arxiv.org/abs/2502.20946
May 2, 2025 at 8:17 AM
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!
April 22, 2025 at 12:46 PM
Reposted by Stephan Mandt
I am so excited to share our latest research paper "Transferring climate change physical knowledge" published in @pnas.org! 🧵 1/4

www.pnas.org/doi/10.1073/...
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
www.pnas.org
April 9, 2025 at 5:26 AM
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. 👇
Excited to present some recent work on developing "Progressive Compression with Universally Quantized Diffusion Models", accepted as an Oral at ICLR'25. 🧵1/4
April 9, 2025 at 1:35 PM
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. 😎
March 7, 2025 at 11:42 AM
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! 🚀
January 24, 2025 at 7:12 PM
Reposted by Stephan Mandt
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
Generative Modeling Summer School (GeMSS)
gemss.ai
January 10, 2025 at 10:42 AM
Reposted by Stephan Mandt
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.
December 5, 2024 at 1:42 AM