Krishna Balasubramanian
https://sites.google.com/view/kriznakumar/ Associate professor at @ucdavis
#machinelearning #deeplearning #probability #statistics #optimization #sampling
@uuujf.bsky.social
Postdoc at Simons at UC Berkeley; alumnus of Johns Hopkins & Peking University; deep learning theory. https://uuujf.github.io
@michaelchchoi.bsky.social
Applied probabilist. Probability, MCMC, optimization, information theory, TCS. https://mchchoi.github.io/
@loreloc.bsky.social
#probabilistic-ml #circuits #tensor-networks PhD student @ University of Edinburgh https://loreloc.github.io/
@sebdarses.bsky.social
Math Assoc. Prof. at Aix-Marseille (France) Currently on Sabbatical at CRM-CNRS, Université de Montréal Teaching Project (non-profit): https://www.highkholle.fr/ https://sites.google.com/view/sebastien-darses/welcome
@moorejh.bsky.social
Chair, Department of Computational Biomedicine at Cedars-Sinai Medical Center in Los Angeles. Director, Center for Artificial Intelligence Research & Education. Atari enthusiast. Retrocomputing. Maker.
@ryzhang.bsky.social
PhD student in Computational Statistics and Machine Learning at STOR-i CDT, Lancaster University, UK. Research Interests: Sampling Algorithms, Bayesian Experiment Designs, Neural Amortization. https://shusheng3927.github.io/
@arnauddoucet.bsky.social
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
@ncfrey.bsky.social
Principal Scientist & Group Leader at Prescient Design • Genentech. Advisor to Atomic Data Sciences & Guide Labs ncfrey.github.io
@tmlr-pub.bsky.social
TMLR Homepage: https://jmlr.org/tmlr/ TMLR Infinite Conference: https://tmlr.infinite-conf.org/
@paulvicol.bsky.social
Research Scientist at Google DeepMind. Working on Gemini reasoning models. PhD from UofT and Vector Institute www.paulvicol.com
@krotov.bsky.social
I am a physicist working on neural networks (both artificial and biological). Find me on https://research.ibm.com/people/dmitry-krotov
@stanislavfort.bsky.social
AI + security | Stanford PhD in AI & Cambridge physics | techno-optimism + alignment + progress + growth | 🇺🇸🇨🇿
@albertobietti.bsky.social
Research Scientist at Flatiron Institute CCM. Prev Meta AI, NYU, Inria, Quora. http://alberto.bietti.me
@arthurgretton.bsky.social
@almostsure.bsky.social
George Lowther. Author of Almost Sure blog on maths, probability and stochastic calculus https://almostsuremath.com Also on YouTube: https://www.youtube.com/@almostsure
@shakirm.bsky.social
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
@chris-nemeth.bsky.social
Professor in Probabilistic Machine Learning @ Lancaster University. Homepage: https://chris-nemeth.github.io
@skiandsolve.bsky.social
⛷️ ML Theorist carving equations and mountain trails | 🚴♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies. https://ualberta.ca/~szepesva
@jun-yang.bsky.social
Department of Mathematical Sciences, University of Copenhagen https://jun.sites.ku.dk/
@alirezamh.bsky.social
PhD Student at the University of Toronto. Interested in deep learning theory. https://www.cs.toronto.edu/~mousavi/
@jsellenberg.bsky.social
Mathematician, writer, Orioles fan, Wisconsinite, cargo shorts dad
@jennwv.bsky.social
Sr. Principal Researcher at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // More at http://jennwv.com
@cirm-math.bsky.social
CIRM is quite a unique place. At the heart of the Parc des Calanques, it is entirely dedicated to welcome researchers from around the world who meet here. www.cirm-math.fr
@pims.math.ca
PIMS is a consortium of 10 universities promoting research in and the application of the mathematical sciences in western Canada and the Pacific Northwest.
@teorth.bsky.social
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
@mark-schmidt.bsky.social
@yenhuanli.bsky.social
Associate Professor of Computer Science at National Taiwan University. Online learning, convex optimization, high-dimensional statistics, and a little bit quantum information theory.
@jnegrea.bsky.social
Assistant Prof at UWaterloo Statistics and Actuarial Science Faculty Affiliate at the Vector Institute https://www.math.uwaterloo.ca/~jnegrea/
@jerryzli.bsky.social
Associate Professor at UW. I work on learning theory, (very) broadly defined. MIT Ph.D '18. More importantly, I once hit challenger in TFT 😎
@timroughgarden.bsky.social
Columbia CS professor. Head of Research at a16z crypto. Research on algorithms, game theory, mechanism design, blockchains/web3. Author of Algorithms Illuminated, Twenty Lectures on Algorithmic Game Theory, and Beyond the Worst-Case Analysis of Algorithms.
@dandiyatin.bsky.social
PhD student (EPFL, Switzerland), working on the theory of deep learning and statistical physics of computation. https://yatindandi.github.io/
@isba-bayesian.bsky.social
The International Society for Bayesian Analysis (ISBA), est. 1992 to promote the development and application of Bayesian analysis, provides an international community for those interested in Bayesian analysis and its applications. https://bayesian.org
@jsulam.bsky.social
Assistant Prof. @ JHU 🇦🇷🇺🇸 Mathematics of Data & Biomedical Data Science https://sites.google.com/view/jsulam
@nparikh.org
Teaching AI policy at Columbia (https://nparikh.org/sipa6545). Previously Director of AI for NYC. https://nparikh.org
@lawrennd.bsky.social
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
@beccawillett.bsky.social
https://willett.psd.uchicago.edu/ Worah Family Professor, University of Chicago National Institute for Theory and Mathematics in Biology (https://www.nitmb.org/) Institute for AI in the Sky (SkAI, https://skai-institute.org/)
@saxelab.bsky.social
Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
@ananyak.bsky.social
Research scientist at OpenAI working on reasoning and RL. Previously PhD student at Stanford University working with Percy Liang and Tengyu Ma.
@yasamanbb.bsky.social
Research Scientist @ Google DeepMind. Physics of learning, ML / AI, condensed matter. Prev Ph.D. Physics @ UC Berkeley.
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw