@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@yann-lecun.bsky.social
Professor a NYU; Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate. http://yann.lecun.com
@nouhadziri.bsky.social
Research Scientist at Ai2, PhD in NLP 🤖 UofA. Ex GoogleDeepMind, MSFTResearch, MilaQuebec https://nouhadziri.github.io/
@kanishka.bsky.social
Research assistant professor at TTIC. Works on language, concepts, and generalization. "minicons guy" acc. to NJK ; 🐧 he/him 🕸️👁️: https://kanishka.website
@hidenori8tanaka.bsky.social
Group Leader, CBS-NTT "Physics of Intelligence" Program at Harvard website: https://sites.google.com/view/htanaka/home
@benedelman.bsky.social
Thinking about how/why AI works/doesn't, and how to make it go well for us. Currently: technical research × policy @ US AI Safety Institute benjaminedelman.com
@harshitsikchi.bsky.social
(On job market) I study Reinforcement Learning. PhD at UT Austin. Previously FAIR Paris, Meta US, NVIDIA, CMU, and IIT Kharagpur. Website: https://hari-sikchi.github.io/
@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/
@berkustun.bsky.social
Assistant Prof at UCSD. I work on interpretability, fairness, and safety in ML. www.berkustun.com
@emilevankrieken.com
Post-doc @ University of Edinburgh. Neurosymbolic Machine Learning, Generative Models, NLP https://www.emilevankrieken.com/
@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
@puneeshdeora.bsky.social
PhD student at UBC; ML Theory and Optimization; Loves memes :) puneesh00.github.io
@lauraruis.bsky.social
PhD supervised by Tim Rocktäschel and Ed Grefenstette, part time at Cohere. Language and LLMs. Spent time at FAIR, Google, and NYU (with Brenden Lake). She/her.
@shikharmurty.bsky.social
Final year PhD Student in Computer Science @Stanford Work on: - Compositionality, syntax (language structure) - Web Agents: Synthetic data, tree search, exploration (language interpretation)
@mufan-li.bsky.social
Postdoc at Princeton | Incoming Assistant Prof at Waterloo Statistics | Prev: PhD at UofT and Vector https://mufan-li.github.io/
@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)
@karen-ullrich.bsky.social
Research scientist at FAIR NY ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
@jeremybernste.in
🧪 pulp deep learning theory @ mit ✍️ anon feedback: http://admonymous.co/jxbz
@adamian.bsky.social
@sadhika.bsky.social
CS PhD student at Princeton. https://www.cs.princeton.edu/~smalladi/index.html
@rl-theory.bsky.social
Virtual seminar series featuring the latest advances in theoretical reinforcement learning. Seminars (approximately) every Tuesday at 6pm UTC. > https://sites.google.com/corp/view/rltheoryseminars
@kasperglarsen.bsky.social
Professor and Head of Algorithms, Data Structures and Foundations of Machine Learning at Computer Science, Aarhus University
@ernestryu.bsky.social
Professor of Applied Mathematics at UCLA. Interested in deep learning and optimization.
@idanattias.bsky.social
Postdoc researcher at IDEAL Institute in Chicago, hosted by UIC and TTIC. My research interests are in machine learning theory, data-driven sequential decision-making, and theoretical computer science. https://www.idanattias.com/
@noamrazin.bsky.social
Postdoctoral Fellow at Princeton Language and Intelligence | Past: Computer Science PhD at Tel Aviv University & Apple Scholar in AI/ML | Interested in the foundations of deep learning https://noamrazin.github.io/
@mihainica.bsky.social
Mathematician working on probability and ML at U of Guelph in Canada. I also make math videos at https://youtube.com/@MihaiNicaMath
@aifi.bsky.social
Machine Learning | Stein Fellow @ Stanford Stats (current) | Assistant Prof @ CMU (incoming) | PhD @ MIT (prev) https://andrewilyas.com
@lambdaviking.bsky.social
Will irl - PhD student @ NYU on the academic job market! Using complexity theory and formal languages to understand the power and limits of LLMs https://lambdaviking.com/ https://github.com/viking-sudo-rm
@pratyushmaini.bsky.social
Data Quality x Privacy PhD student @ CMU with Zico Kolter and Zack Lipton | Founding Member @datologyai.com | Prev. Comp Sc @iitdelhi http://pratyushmaini.github.io/
@benmpoole.bsky.social
research scientist at google deepmind. phd in neural nonsense from stanford. poolio.github.io
@simonsfoundation.org
Advancing the frontiers of basic science through grantmaking, research and public engagement. Sign up for our newsletter: simonsfoundation.org/newsletter
@sfiscience.bsky.social
The premier research center for #ComplexSystems #science. santafe.edu linktr.ee/sfiscience
@neurovium.bsky.social
Computational neuroscience, Physics of Complex Systems, Bio-Inspired Intelligence, Foundations of Physical Computing https://compneuro.mit.edu/home
@pierremarion.bsky.social
Postdoc @ EPFL, working on the theory of deep learning. Previously Polytechnique and Sorbonne Université.
@pierrenyquist.bsky.social
Assoc. prof. in mathematics at Chalmers/University of Gothenburg. Mainly probability, analysis and computational methods, but I like to visit most areas of mathematics. Elected member Young Academy of Sweden. Mostly here for the science, some for the jokes
@lucamb.bsky.social
Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.
@krzakalaf.bsky.social
Love Physics, Maths, Machine learning, Computer Science but above all playing 🎸🎵 Happy dad 👧 👧. Also professor @ EPFL. Views are my own.
@hannes-stark.bsky.social
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
@saxelab.bsky.social
Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
@colah.bsky.social
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
@stevenstrogatz.com
Mathematician, writer, Cornell professor. All cards on the table, face up, all the time. www.stevenstrogatz.com
@alucchi.bsky.social
Researcher in optimization and theoretical machine learning. Assistant professor at the University of Basel. Past: EPFL, ETH Zurich (Switzerland) 🇨🇭