@amartyasanyal.bsky.social
Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.
@rrwilliams.bsky.social
professor of EECS at MIT. working in theoretical computer science namely algorithm design, complexity theory, circuit complexity, etc. i'll let you know when P != NP is proved (and when it's not)
@miniapeur.bsky.social
Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
@alexxthiery.bsky.social
Associate Prof. in ML & Statistics at NUS 🇸🇬 MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
@jzleibo.bsky.social
I can be described as a multi-agent artificial general intelligence. OK, so some people pointed out that I am not in fact artificial, contradicting my bio. To them I would reply that I am likely also a cognitive gadget. www.jzleibo.com
@natashajaques.bsky.social
Assistant Professor at UW and Senior Research Scientist at Google DeepMind. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from MIT. Check out https://socialrl.cs.washington.edu/ and https://natashajaques.ai/.
@jeffclune.com
Professor, Computer Science, University of British Columbia. CIFAR AI Chair, Vector Institute. Senior Advisor, DeepMind. ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs), open-endedness.
@spmontecarlo.bsky.social
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina
@dileeplearning.bsky.social
AGI research @DeepMind. Ex cofounder & CTO Vicarious AI (acqd by Alphabet), Cofounder Numenta Triply EE (BTech IIT-Mumbai, MS&PhD Stanford). #AGIComics blog.dileeplearning.com
@wtgowers.bsky.social
Mathematics professor at Collège de France and fellow of Trinity College Cambridge.
@aarshvi.bsky.social
CS PhD @NYU; Active learning, randomized sketching and sampling, high dimensional statistics, fundamental problems in ML. https://aarshvig.github.io
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@gokul.dev
PhD student at @cmurobotics.bsky.social working on interactive learning from implicit human feedback (e.g. imitation/RLHF). no model is an island. https://gokul.dev/.
@kfountou.bsky.social
Associate Professor at CS UWaterloo Machine Learning Lab: opallab.ca
@chanpyb.bsky.social
PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics https://chanb.github.io/
@sikatasengupta.bsky.social
cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her https://psamathe50.github.io/sikatasengupta/
@marcelhussing.bsky.social
PhD student at the University of Pennsylvania. Currently, intern at MSR. Interested in reliable and replicable reinforcement learning and using it for knowledge discovery: https://marcelhussing.github.io/ All posts are my own.
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@omarrivasplata.bsky.social
Carpe espresso ☕ Associate Professor in Machine Learning Manchester Centre for AI FUNdamentals Department of Computer Science The University of Manchester Alumn UCL, DeepMind, U Alberta, PUCP Deep Thinker. Posts / reposts might be non-deep.
@maxthiessen.bsky.social
PhD student in machine learning at TU Wien. Graphs | active learning | learning theory https://maxthiessen.github.io
@gkatzelis.bsky.social
Associate professor of Computer Science at Drexel University. Interested in mechanism design, game theory, algorithms, fair division. https://www.cs.drexel.edu/~gkatz/
@thejonullman.bsky.social
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
@eigx.bsky.social
Assistant Professor at the University of Michigan. I design fast graph algorithms in dynamic/distributed/local settings. https://sites.google.com/site/thsaranurak/
@vincefort.bsky.social
PI at Helmholtz AI, Faculty at TU Munich, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar. Prev: Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research. https://fortuin.github.io/
@canaesseth.bsky.social
Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io
@sedielem.bsky.social
Blog: https://sander.ai/ 🐦: https://x.com/sedielem Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).
@epatters.bsky.social
Applied mathematician and technologist. Research scientist at @toposinstitute.bsky.social
@timvanerven.nl
Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of interpretable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
@shubhendu.bsky.social
Interests on bsky: ML research, applied math, and general mathematical and engineering miscellany. Also: Uncertainty, symmetry in ML, reliable deployment; applications in LLMs, computational chemistry/physics, and healthcare. https://shubhendu-trivedi.org
@kallus.bsky.social
🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.com
@patrickshafto.bsky.social
Prof: Rutgers; Program Manager: DARPA; Scientist-at-Large: Redpoll. Math! Machine learning! Cognitive Science!
@archernikov.bsky.social
Michael Brin professor of mathematics at the University of Maryland. Mathematical logic, model theory - and connections to combinatorics, algebra, etc. chernikov.me
@damekdavis.bsky.social
Optimization and Machine Learning Assoc Prof Wharton stats http://OptimizationInPyTorch.com http://damekdavis.com/random
@henryyuen.bsky.social
Complexity, in all its forms. Associate Professor of Computer Science at Columbia University. http://www.henryyuen.net
@thesasho.bsky.social
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
@ccanonne.github.io
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@noreward4u.bsky.social
Reward-Free Model-based Maximalist. High-dimensional Empowerment. Self-Preserving Autonomous Agents. Theories of intelligence grounded in compositional control.
@littmath.bsky.social
Assistant professor (of mathematics) at the University of Toronto. Algebraic geometry, number theory, forever distracted and confused, etc. He/him.
@egrefen.bsky.social
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.
@stellato.io
Assistant Professor @Princeton ORFE l Real-time optimizer I http://osqp.org developer | From 🇮🇹 in 🇺🇲 | https://stellato.io