Bruno Ribeiro (at #NeurIPS2024)
Associate Professor of Computer Science @Purdue, interested in graphs, invariances, causality, and OOD robustness in ML
@vadarvariu.bsky.social
postdoc @ oxford robotics institute. interested in reinforcement learning, graphs, robots, and combinatorial optimization. https://victor.darvariu.me
@jlutzeyer.bsky.social
Assistant Professor @ École Polytechnique, IP Paris | Interested in GNNs and Graph Representation Learning | Website: johanneslutzeyer.com
@martonkarsai.bsky.social
@marwinsegler.bsky.social
Machine Learning, {Org, Med, Comp} Chem, RL/Planning, AI-assisted Scientific Discovery & Creativity, Music. ELLIS Scholar. Team Lead at Microsoft Research AI for Science. 2xDad
@rahulgk.bsky.social
Assistant Professor at the University of Toronto ⚒️ 🏥 Deep learning and causal inference for computational medicine
@federico-errica.bsky.social
Senior Research Scientist at NEC. PhD in CS @ UniPi, Bayesian Deep Learning for Graphs. Trying to do Science 🔍, not SotA 🥇.
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@glouppe.bsky.social
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity.
@guyvdb.bsky.social
🎓 CS Prof at UCLA 🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI https://web.cs.ucla.edu/~guyvdb/
@cmaddis.bsky.social
Asst. Prof. in Machine Learning at UofT. #LongCOVID patient. https://www.cs.toronto.edu/~cmaddis/
@chrmanning.bsky.social
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
@yaringal.bsky.social
Associate Professor of Machine Learning, University of Oxford; OATML Group Leader; Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
@pseudomanifold.topology.rocks
Dad · Geometry ∩ Topology ∩ Machine Learning Professor at University of Fribourg While #geometry & #topology may not save the world, they may well save something that is homotopy-equivalent to it. 🏠 https://bastian.rieck.me/ 🏫 https://aidos.group
@imurray.bsky.social
Professor of Machine Learning and Inference, Edinburgh Informatics, Formally Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
@mniepert.bsky.social
Professor @ University of Stuttgart, Scientific Advisor @ NEC Labs, GraphML, geometric deep learning, ML for Science and Simulations. Formerly @IUBloomington and @uwcse
@neuralnoise.com
Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
@mlcolab.org
We accelerate research in the sciences and humanities with machine learning; part of the @ml4science.bsky.social cluster at @unituebingen.bsky.social Web: mlcolab.org Member profiles: @sethaxen.com @vstaros.bsky.social
@mmbronstein.bsky.social
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, 🐎 🎶
@maxthiessen.bsky.social
PhD student in machine learning at TU Wien. Graphs | active learning | learning theory https://maxthiessen.github.io
@cottascience.bsky.social
Postdoc fellow at Vector Institute; Machine Learning & Causal Inference; From BH🔺🇧🇷 in TO 🇨🇦 http://cottascience.github.io
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app