Xiong Zeng
Marathon & trail runner, Ph.D. candidate of UMich ECE, interested in machine coffee, optimization, control theory, statistical learning theory, robotics, etc. https://zengxiong111.github.io/zengxiong.github.io/
@kfountou.bsky.social
Associate Professor at CS UWaterloo Machine Learning Lab: opallab.ca
@rl-conference.bsky.social
Information and updates about RLC 2025 at the University of Alberta from Aug. 5th to 8th! https://rl-conference.cc
@rl4rsworkshop.bsky.social
Workshop on Practical Insights into RL for Real Systems at RLC 2025, Edmonton, Canada. https://rl4rs.github.io/RL4RS/
@porteparlevent.bsky.social
@ieeetro.bsky.social
The IEEE Transactions on Robotics (T-RO) publishes major advances in the state-of-the-art in all areas of robotics including theory, design, experimental studies, analysis, algorithms, and integration and application case studies.
@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/
@gabrielpeyre.bsky.social
@randomwalker.bsky.social
Princeton computer science prof. I write about the societal impact of AI, tech ethics, & social media platforms. https://www.cs.princeton.edu/~arvindn/ BOOK: AI Snake Oil. https://www.aisnakeoil.com/
@pessimistsarc.bsky.social
We explore and catalog the history of technophobia and moral panic. Our newsletter: http://newsletter.pessimistsarchive.org
@28shambhavi.bsky.social
Robotics PhD student @UMich trying to teach robots to push 📦🏎️
@i-abr.bsky.social
Asst. Prof @YaleSEAS ME/CS | Prev. 🤖Robotics @CMU_Robotics @NorthwesternU | Lab https://ialab.yale.edu/
@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.
@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@ben-eysenbach.bsky.social
Assistant professor at Princeton CS working on reinforcement learning and AI/ML. Site: https://ben-eysenbach.github.io/ Lab: https://princeton-rl.github.io/
@roboticsscisys.bsky.social
Robotics: Science and Systems Conference #robotics #research roboticsconference.org
@lucacarlone.bsky.social
Associate Professor at #MIT, SPARK Lab Director, Roboticist, interested in how machines see and understand the world lucacarlone.mit.edu
@francolab.bsky.social
Franco Lab @UCLA Exploring how to program dynamic behaviors in biological self-assembly 💡✨ We’re harnessing DNA and RNA to build smart, adaptive materials 🔬🧬 #Biomaterials #DNA #RNA
@michaelposa.bsky.social
Asst. Prof. at the University of Pennsylvania, part of the GRASP Lab. PI of the Dynamic Autonomy and Intelligent Robotics Lab. https://dair.seas.upenn.edu
@mkearnsphilly.bsky.social
CS prof at Penn, Amazon Scholar in AWS. Interested in ML theory and related topics, as well as photography and Gilbert and Sullivan. Website: www.cis.upenn.edu/~mkearns
@gioele-zardini.bsky.social
Rudge and Nancy Allen Assistant Prof @MIT, Ph.D. from @ETH_en, Postdoc @Stanford. Autonomy Talks. Compositional engineering driven by societal challenges🇨🇭 https://zardini.mit.edu
@necozay.bsky.social
Professor of EECS and Robotics at University of Michigan. Control theory, hybrid & cyber-physical systems, sys id, algorithms, safe autonomy. More info @ http://web.eecs.umich.edu/~necmiye/
@chongzhang.bsky.social
Stupid #robotics guy at ETHz Twitter: https://x.com/ChongZitaZhang Research Website: https://zita-ch.github.io/
@cathywu.bsky.social
AI+Transportation. Creating scalable computational tools to inform decision making in sociotechnical systems. Neural combinatorial optimization. Reinforcement learning. Associate Prof. at MIT. Hype adjacent. http://www.wucathy.com/
@optb0t.bsky.social
A sub-optimal ArXiv math.OC bot. Posts everyday at ~8:00 UTC. 🌐: https://arxiv.org/list/math.OC/new 👨🏻💻: @andrepanno.bsky.social
@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.
@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
@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/
@thegradient.bsky.social
Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
@cevherlions.bsky.social
Associate Professor of Electrical Engineering, EPFL. Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
@angelahzyuan.bsky.social
Research Scientist at ByteDance. Ex @UCLA, @PKU AI4Science, Diffusion Models, Optimizers, RL, LLM
@konstmish.bsky.social
Research Scientist at Meta Paris Code generation, math, optimization
@alucchi.bsky.social
Researcher in optimization and theoretical machine learning. Assistant professor at the University of Basel. Past: EPFL, ETH Zurich (Switzerland) 🇨🇭
@rarefin.bsky.social
PhD Candidate Mila/University of Montreal | Intern at Amazon | Ex. ServiceNow, Recursion, UpStride | Researching to understand how Deep Learning works https://rarefin.github.io
@fschaipp.bsky.social
Researcher in Optimization for ML at Inria Paris. Previously at TU Munich. sbatch and apero. https://fabian-sp.github.io/
@shwartzzzivravid.bsky.social
Faculty Fellow and Assistant Professor at NYU's Center of Data Science
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
@krizna.bsky.social
https://sites.google.com/view/kriznakumar/ Associate professor at @ucdavis #machinelearning #deeplearning #probability #statistics #optimization #sampling
@erdog.bsky.social
Professor at University of Toronto. Research on machine learning, optimization, and statistics.
@profsanjeevarora.bsky.social
Director, Princeton Language and Intelligence. Professor of CS.