AI Professor @UCIrvine | Associate Director, AI in Science Institute | Formerly @blei_lab, @Princeton | Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg
Joined March 2015
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43 Photos and videos
Pinned Tweet
7 Dec 2024
I've joined BlueSky and will be cross-posting for now: bsky.app/profile/stephanmand…
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Promoted from Associate to Full Professor. Fewer letters, more committees. 🙂 Thanks to all the graduate students, postdocs, and colleagues. I wouldn't have made it here without you!
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Apr 28
Thanks for having me, @kchonyc and Rajesh! It was a pleasure visiting the new AI Frontier Lab @ NYU.
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Apr 22
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. 🚀
Apr 22
LLMs are autoregressive and slow? No! Parallel Token Prediction decodes multiple consistent tokens in one model call. PTP allows arbitrary dependencies in one call, unlike discrete diffusion. Practical: 2.4x speedup
github.com/mandt-lab/ptp
ICLR: Apr 23, morning poster P3-#608
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Apr 19
Excited to see seven years of work come together: we can now consistently predict thermodynamic properties of fluid mixtures directly from molecular structure using machine learning. 🧪🤖
Our latest work just got accepted at Nature Communications: nature.com/articles/s41467-0… (1/4)
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Apr 19
Our latest model takes this to a new level: predicting excess Gibbs energies of mixtures from the SMILES representations of their constituents. This enables predictions across temperatures and compositions, central to chemical process and solvent design. (3/4)
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Apr 19
Huge congrats to my former postdoc and now professor of thermodynamics, Fabian Jirasek, for driving this research! (4/4)mv.rptu.de/en/dpts/ltd/chair…
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Feb 13
Interested in Diffusion Models for data compression? Check out our new review paper 👇
We've known that diffusion models are theoretically very good lossy data compressors , but how can we actually implement this idea in practice? I discuss this and related topics in a new review article on diffusion-based generative compression arxiv.org/abs/2601.18932
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Stephan Mandt retweeted
ProbML 2026 (formerly AABI) invites submissions on probabilistic ML (Bayesian & beyond), July 5 in Seoul (co-located with ICML). Website: probml.cc. Tracks: proceedings (PMLR), workshop, fast track. New focus includes healthcare & climate!
Submit by: 20 March 2026
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Feb 10
Excited to see AABI evolve into ProbML, with plans to become a full conference next year!
linkedin.com/posts/probml_pr…
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Excited to contribute to a growing scientific ecosystem in SoCal through our new AI in Science Institute at UCI.
Scientific AI raises long-term questions—central to our inaugural symposium, from agentic co-scientists to weather to biology.
Join us next year—sun included ☀️
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Many thanks to our invited speakers for the great discussions:
Søren Brunak, @jmtomczak, @kchonyc, @jenssen_robert, @Tkaraletsos, Michael Mahoney, @SciPritchard, and @yuqirose.
Photo credit: Jakub Tomczak.
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12 Dec 2025
Congrats to @FelixDrRelax, Yang Meng, and Lukas Laskowski on a NeurIPS Spotlight! 🎉
A simple idea made practical, demonstrated on event sequences, for efficiently modeling mixed discrete-continuous data with transformers.
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2 Dec 2025
Check out our #Neurips Spotlight paper. Point process modeling made simple. 👇
2 Dec 2025
How to model event sequences with real world variety: mixed data types, different lengths, …?
Meet FlexTPP, a unified transformer framework with discrete & continuous heads for health care, complex annotations and more!
NeurIPS spotlight, Fri 11am #2102!
openreview.net/forum?id=Mtws…
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17 Nov 2025
Recently gave a LEAP 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? youtube.com/watch?v=QeLZI4FR…
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12 Nov 2025
Amid all the review frustration, a big shoutout to all reviewers and area chairs. Peer feedback is a crucial step in developing papers---and it takes serious time and effort. As authors, let’s appreciate the process!
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30 Oct 2025
When a single telescope is projected to stream ~62 exabytes of data every year, we need better compression. Learned compression is one answer--check out our new project page here:
30 Oct 2025
Made a pretty website for our ICLR 2025 work AstroCompress: neural compression for space telescopes 320 GB of ML-ready astro image data.
rithwiksud.github.io/astroco…
Has links to paper, data, code, Jupyter notebook, reviews, & ICLR video presentation.
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3 Sep 2025
Huge thanks to Laura Manduchi, Clara Meister & Kushagra Pandey, who led the 2-year effort of writing “On the Challenges and Opportunities in Generative AI” involving 27 authors. Coming out of a 2023 Dagstuhl Seminar I co-organized with @vincefort, @liyzhen2 & @sirbayes.
3 Sep 2025
Exciting news!
Our paper "On the Challenges and Opportunities in Generative AI" has been accepted to TMLR 2025.
📄 arxiv.org/abs/2403.00025
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I had the pleasure of giving a talk and sharing some recent work on diffusion compression (together with @justuswill and @StephanMandt) at the Learn to Compress workshop at #isit2025. Here are my slides: docs.google.com/presentation… Thanks again for the invitation!
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Stephan Mandt retweeted
10 Jun 2025
✨New edition of our community-building workshop series!✨
Tomorrow at @CVPR, we invite speakers to share their stories, values, and approaches for navigating a crowded and evolving field, especially for early-career researchers.
Cheeky title🤭: How to Stand Out in the Crowd🙋?
Details & context here: sites.google.com/view/stando…
10 Jun 2025
In this #CVPR2025 edition of our community-building workshop series, we focus on supporting the growth of early-career researchers.
Join us tomorrow (Jun 11) at 12:45 PM in Room 209
Schedule: sites.google.com/view/stando…
We have an exciting lineup of invited talks and candid panels: @sarameghanbeery, @dimadamen, @jbhuang0604, @lealtaixe, @LerrelPinto, @lschmidt3, @shubhtuls, @gulvarol, @cvondrick, @sainingxie
Co-organizing with @unnatjain2010, @ap229997, @georgiagkioxari, @akanazawa, and Lana Lazebnik @CVPR
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