Aarshvi Gajjar
CS PhD @NYU;
Active learning, randomized sketching and sampling, high dimensional statistics, fundamental problems in ML.
https://aarshvig.github.io
@yus167.bsky.social
PhD at Machine Learning Department, Carnegie Mellon University | Interactive Decision Making | https://yudasong.github.io
@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/.
@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
@rereadingwolfe.bsky.social
A chapter-by-chapter spoiler intense deep dive into Gene Wolfe's "The Book of the New Sun" stewing in unhinged speculation. You cannot read a Gene Wolfe story. You can only re-read a Gene Wolfe story. http://patreon.com/rereadingwolfe
@upiter.bsky.social
PhD at NYU studying reasoning, decision-making, and open-endedness alum of MIT | prev: Google, MSR, MIT CoCoSci https://upiterbarg.github.io/
@huckbennett.bsky.social
Faculty at the University of Colorado. Interested in theoretical computer science, and especially lattices. Also: mountains, running, music. https://home.cs.colorado.edu/~hbennett/
@geomblog.bsky.social
Director, Center for Tech Responsibility@Brown. FAccT OG. AI Bill of Rights coauthor. Former tech advisor to President Biden @WHOSTP. He/him/his. Posts my own.
@joshuagrochow.bsky.social
Research: TheoryCompSci, pure math, complex systems Other: climate; covid; equity, inclusion, & accessibility Assoc. Prof. @ CU Boulder Comp. Sci. & Math Views my own @joshuagrochow@mathstodon.xyz (& prev twitter) https://home.cs.colorado.edu/~jgrochow
@taylorjsmith.bsky.social
🇨🇦 Theoretical computer scientist. Assistant professor at @stfx-university.bsky.social. Website: taylorjsmith.xyz.
@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.
@roshanrao.bsky.social
Proteins, evolutionary models, unsupervised learning. Prev: Research Scientist MetaAI, PhD Berkeley. he/him.
@praveshkkothari.bsky.social
Assistant Professor @PrincetonCS Research: Theoretical Computer Science, Optimization, Algorithmic Statistics.
@adamian.bsky.social
@shamkakade.bsky.social
Harvard Professor. ML and AI. Co-director of the Kempner Institute. https://shamulent.github.io
@johnboik.bsky.social
PhD research fellow at Active Inference Institute, data science, cognitive science, probabilistic models, Julia, Montana regenerative hobby farmer, author of Economic Direct Democracy: A Framework to End Poverty and Maximize Well-Being. #wellbeingeconomy
@sulinliu.bsky.social
Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io
@dvinnie.bsky.social
Researcher at Google DeepMind in London. Previously PhD at Cambridge University.
@sanokows.bsky.social
Ellis PhD Student at JKU Linz working on Diffusion Samplers and combinatorial optimization
@yasamanbb.bsky.social
Research Scientist @ Google DeepMind. Physics of learning, ML / AI, condensed matter. Prev Ph.D. Physics @ UC Berkeley.
@surbhigoel.bsky.social
Assistant Prof at Penn CIS | Postdoc at Microsoft Research | PhD from UT Austin CS | Co-founder LeT-All
@alexdimakis.bsky.social
UC Berkeley Professor working on AI. Co-Director: National AI Institute on the Foundations of Machine Learning (IFML). http://BespokeLabs.ai cofounder
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@betanalpha.bsky.social
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
@stellato.io
Assistant Professor @Princeton ORFE l Real-time optimizer I http://osqp.org developer | From 🇮🇹 in 🇺🇲 | https://stellato.io
@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
@jrudoler.bsky.social
wharton stats phd — ml theory, ml for science prev: comp neuro, data, physics working with Edgar Dobriban and Konrad Körding also some sports (esp. philly! go birds)
@chanpyb.bsky.social
PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics https://chanb.github.io/
@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
@lenoreblum.bsky.social
Mathematician and Theoretical Computer Scientist (#mathematics, #TCS) interested in #Consciousness and #NeuroAI (#Neuroscience, #AI). Distinguished Career Prof of CS at CMU, Emerita. President, Assoc for MathConscSci (AMCS) (https://amcs-community.org)
@michaelnielsen.bsky.social
Searching for the numinous Australian Canadian, currently living in the US https://michaelnotebook.com
@djfoster.bsky.social
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
@karen-ullrich.bsky.social
Research scientist at FAIR NY ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
@xkcd.com
@howard.fm
https://Answer.AI & https://fast.ai founding CEO; previous: hon professor @ UQ; leader of masks4all; founding CEO Enlitic; founding president Kaggle; various other stuff…
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.