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
01.05.2025 07:13 — 👍 4 🔁 0 💬 0 📌 1
🚪Fast yet Safe: Early-Exiting with Risk Control
by @metodjazbec.bsky.social*, Alexander Timans*, Tin Hadži Veljković, Kaspar Sakmann, Dan Zhang, @canaesseth.bsky.social, Eric Nalisnick
🪪https://neurips.cc/virtual/2024/poster/94477
📜https://arxiv.org/abs/2405.20915
🧵6 / 12
09.12.2024 13:24 — 👍 6 🔁 2 💬 1 📌 1
Senior Staff Research Scientist, Google DeepMind
Affiliated Lecturer, University of Cambridge
Associate, Clare Hall
GDL Scholar, ELLIS @ellis.eu
🇷🇸🇲🇪🇧🇦
AI Professor @UCIrvine | Formerly @blei_lab, @Princeton | #GenAI, #Compression, #AI4Science | General Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg
Association for Uncertainty in AI.
Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 !
https://auai.org/uai2025
Machine learning @jhucompsci.bsky.social
PhD Candidate @ETHzurich | Oxenius Lab
Investigating viral infections, with a focus on CMV | Passionate about spatial immunology and cellular microenvironments
Postdoc at SRON | Previously PhD at AMLab & AI4Science Lab, University of Amsterdam
Interested in AI for Earth science & ecology, hybrid modeling, geospatial machine learning
PhD candidate @amlab.bsky.social @ellis.eu
Probabilistic Machine Learning | Sequence Models
ELLIS PhD student in ML at Aalto University and the University of Manchester
DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @VantAI
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
PhD student @epfl | trying to boost science via machine learning
Research Scientist @GoogleDeepMind | Organiser @DeepIndaba | Machine Learning PhD @CambridgeMLG | 🇿🇦
⛵️ Research Resident @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
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.
Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU)
https://frellsen.org
Machine Learner by day, 🦮 Statistician at ❤️
In search of statistical intuition for modern ML & simple explanations for complex things👀
Interested in the mysteries of modern ML, causality & all of stats. Opinions my own.
https://aliciacurth.github.io
Postdoctoral researcher at the Institute for Logic, Language and Computation at the University of Amsterdam.
Previously PhD Student at NLPNorth at the IT University of Copenhagen, with internships at AWS, Parameter Lab, Pacmed.
dennisulmer.eu
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
