@danielawitten.bsky.social

dorothy gilford endowed chair and professor of statistics/biostatistics at university of washington, all views my own

@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/

@dholzmueller.bsky.social

Postdoc in machine learning with Francis Bach & @GaelVaroquaux: neural networks, tabular data, uncertainty, active learning, atomistic ML, learning theory. https://dholzmueller.github.io

@shashank-rajput.bsky.social

LLM Research @Databricks shashankrajput.github.io

@satyenkale.com

Following the herd to keep up with academic gossip.

@navidazizan.bsky.social

azizan.mit.edu

@alucchi.bsky.social

Researcher in optimization and theoretical machine learning. Assistant professor at the University of Basel. Past: EPFL, ETH Zurich (Switzerland) 🇨🇭

@vidhishab.bsky.social

AI Evaluation and Interpretability @MicrosoftResearch, Prev PhD @CMU.

@yuxinchen.bsky.social

Associate professor of statistics and data science at UPenn

@mmondelli.bsky.social

Professor at IST Austria | Machine learning, information theory | Prev: Stanford, EPFL | opinions my own

@albertobietti.bsky.social

Research Scientist at Flatiron Institute CCM. Prev Meta AI, NYU, Inria, Quora. http://alberto.bietti.me

@atalwalkar.bsky.social

Professor in ML @ CMU

@joanbruna.bsky.social

Professor of Computer Science, Data Science and Mathematics (aff), Courant Institute of Mathematical Sciences and Center for Data Science, New York University. Visiting Scholar at Flatiron Institute.

@rahulparhi.bsky.social

Assistant Professor at UC San Diego

@dimitrisp.bsky.social

Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily. https://papail.io

@sunnytqin.bsky.social

Machine Learning PhD @ Harvard

@freegaussians.bsky.social

TCS/Math postdoc interested in spin-glasses, random matrices, optimization and free probability. I like chess, badminton, photography, Indian & western classical music. I live for Korean and home-made Indian food. Website: https://juspreetsandhu.me

@vdebortoli.bsky.social

messing up with gaussians

@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.

@databricks.bsky.social

@taco-cohen.bsky.social

Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.

@hidenori8tanaka.bsky.social

Group Leader, CBS-NTT "Physics of Intelligence" Program at Harvard website: https://sites.google.com/view/htanaka/home

@jmairal.bsky.social

Researcher in machine learning, optimization, computer vision, image and signal processing

@koloskova.bsky.social

Postdoc @ Stanford University https://koloskova.github.io/

@logn.bsky.social

machine learning research

@skate-the-apple.bsky.social

Postdoc at Inria Grenoble with Julien Mairal. scottpesme.github.io

@leenacvankadara.bsky.social

Lecturer @GatsbyUCL; Previously Applied Scientist @AmazonResearch; PhD @MPI-IS @UniTuebingen

@maksym-andr.bsky.social

Working on AI safety, robustness, and generalization (Square Attack, RobustBench, AgentHarm, etc). PhD from EPFL supported by Google & OpenPhil PhD fellowships. On the faculty job market for 2024-2025. More details: https://www.andriushchenko.me/

@ankitpensia.bsky.social

Postdoc, Statistics and ML Theory https://ankitp.net/

@mila-quebec.bsky.social

Le plus grand centre de recherche universitaire en apprentissage profond — The world's largest academic research center in deep learning.

@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/

@ellis.eu

Strengthening Europe's Leadership in AI | ellis.eu

@arthurgretton.bsky.social

@inderjitdhillon.bsky.social

Google, UT Austin. Ex-Amazon, Voleon. UC Berkeley PhD. Proud Dad.

@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

@bvasudeva.bsky.social

CS PhD student @ USC | BTech @ IIT Roorkee ML/DL theory, Science of DL, Optimization estija.github.io

@konstmish.bsky.social

Research Scientist at Meta Paris Code generation, math, optimization

@laurenceai.bsky.social

Lecturer at the University of Bristol. probabilistic ML, optimisation, interpretability, LLM evals.

@xy-han.bsky.social

Assistant Professor @ChicagoBooth | Papers: “Neural Collapse in Deep Nets” & “Survey Descent: Nonsmooth GD” | BSE @Princeton, MS @Stanford, PhD @Cornell | xyhan.me

@aryanmokhtari.bsky.social

Researcher in Optimization and Machine Learning. #FlyEaglesFly

@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/)

@nmallinar.bsky.social

5th year PhD student @ UCSD, prior to that: research intern at Google & MSR NE, research engineer at Pryon Inc & IBM Watson. Catch me on Spotify for my music, or YouTube for comedy and music, or a stage in NYC for improv five years ago (time travel requi

@wellingmax.bsky.social

@zdeborova.bsky.social

Professor at EPFL. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.

@sebgoldt.bsky.social

Theory of neural networks at SISSA in Trieste, Italy

@sadhika.bsky.social

CS PhD student at Princeton. https://www.cs.princeton.edu/~smalladi/index.html

@aminkarbasi.bsky.social

Chief scientist at Robust Intelligence and professor at Yale (on leave)

@nghosh.bsky.social

@thecharlieblake.bsky.social

Member of Technical Staff at OpenAI