Congratulations to Metod and the team on winning the ICLR QUESTION workshop's Best Paper Award! 🎓
02.05.2025 08:17 — 👍 1 🔁 0 💬 0 📌 0
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!
22.04.2025 12:46 — 👍 4 🔁 0 💬 0 📌 1
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. 👇
09.04.2025 13:35 — 👍 5 🔁 0 💬 0 📌 0
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. 😎
07.03.2025 11:41 — 👍 7 🔁 0 💬 1 📌 0
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! 🚀
24.01.2025 19:12 — 👍 14 🔁 0 💬 0 📌 0
Generative Modeling Summer School (GeMSS)
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
10.01.2025 10:42 — 👍 24 🔁 11 💬 0 📌 1
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.
05.12.2024 01:42 — 👍 11 🔁 1 💬 2 📌 0
Welcome to ETH AI Center! We are ethz.ch/en 's central hub leading the way towards trustworthy, accessible and inclusive #artificialintelligence
ai.ethz.ch
Coronavirus and other health-related updates. Regular updates on Outbreaks, Pathogens For more updates follow us.
https://linktr.ee/covid19_disease
Research Scientist at Yahoo! / ML OSS developer
PhD in Computer Science at UC Irvine
Research: ML, NLP, Computer Vision, Information Retrieval
Technical Chair: #CVPR2026 #ICCV2025 #WACV2026
Open Source/Science matters!
https://yoshitomo-matsubara.net
America’s Finest News Source. A @globaltetrahedron.bsky.social subsidiary.
Get the paper delivered to your door: membership.theonion.com
machine learning and artificial intelligence | University of Chicago / Google
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
Computer science, math, machine learning, (differential) privacy
Researcher at Google DeepMind
Kiwi🇳🇿 in California🇺🇸
http://stein.ke/
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
Research scientist at FAIR NY ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/
AI professor. Director, Foundations of Cooperative AI Lab at Carnegie Mellon. Head of Technical AI Engagement, Institute for Ethics in AI (Oxford). Author, "Moral AI - And How We Get There."
https://www.cs.cmu.edu/~conitzer/
He teaches information science at Cornell. http://mimno.infosci.cornell.edu
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
CS Prof at the University of Oregon, studying adversarial machine learning, data poisoning, interpretable AI, probabilistic and relational models, and more. Avid unicyclist and occasional singer-songwriter. He/him
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io
FR/US/GB AI/ML Person, Director of Research at Google DeepMind, Honorary Professor at UCL DARK, ELLIS Fellow. Ex Oxford CS, Meta AI, Cohere.
