@yasbaltrine.bsky.social
Full time nerd building devtools pad.ws - whiteboard IDE gitingest.com - Turn a git repo into a prompt
@eugenevinitsky.bsky.social
Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU https://emerge-lab.github.io https://www.admonymous.co/eugenevinitsky
@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/
@stonet2000.bsky.social
PhDing @UCSanDiego @HaoSuLabUCSD @hillbot_ai on scalable robot learning, reinforcement learning, and embodied AI. Co-founded @LuxAIChallenge to build AI competitions. @NSF GRFP fellow http://stoneztao.com
@yus167.bsky.social
PhD at Machine Learning Department, Carnegie Mellon University | Interactive Decision Making | https://yudasong.github.io
@willemropke.bsky.social
PhD student | Interested in all things decision-making and learning
@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/
@ahana.bsky.social
Reinforcement Learning PhD student, UPF Barcelona. Uncertain in the face of optimism. ahanadeb.github.io
@orrkrup.bsky.social
Robot Learning Research | Prev: PhD @Technion More data isn't all we need 🔭🦾 🌍
@amsks96.bsky.social
PhD Student working on Generlization and State abstractions in #RL, #MetaLearning, and #AutoRL amsks.github.io
@theeimer.bsky.social
RL researcher looking for DACs // What is this AutoRL anyway? she/her Currently: Leibniz Uni Hannover Previously: Uni Freiburg (Master's) | Meta AI London (Intern) Always & Forever: AutoRL.org
@allenanie.bsky.social
Stanford CS PhD working on RL and LLMs with Emma Brunskill and Chris Piech. Co-creator of Trace. Prev @GoogleDeepMind @MicrosoftResearch Specifically - Offline RL - In-context RL - Causality https://anie.me/about Unverified hot takes go to this account
@cvoelcker.bsky.social
Reinforcement Learning @ UofT/Vector Institute, political agitation @ Queer in AI If I seem very angry, check if I have been watered in the last 24 hours. For professional, see https://cvoelcker.de
@marcelhussing.bsky.social
PhD student at the University of Pennsylvania. Currently, intern at MSR. Interested in reliable and replicable reinforcement learning and using it for knowledge discovery: https://marcelhussing.github.io/ All posts are my own.
@artemzholus.bsky.social
Visiting Researcher at Meta; PhD student @mila.quebec. Ex: Intern @GoogleDeepMind, Intern @ EPFL, MSc@MIPT; artemzholus.github.io
@onnoeberhard.com
PhD Student in Tübingen (MPI-IS & Uni Tü), interested in reinforcement learning. Ex research intern at Google Research. https://onnoeberhard.com/
@cassidylaidlaw.bsky.social
PhD student at UC Berkeley studying RL and AI safety. https://cassidylaidlaw.com
@yihe-deng.bsky.social
CS PhD candidate @UCLA | Prev. Research Intern @MSFTResearch, Applied Scientist Intern @AWS | LLM post-training, multi-modal learning https://yihedeng9.github.io
@hyperpotatoneo.bsky.social
PhD student at Mila | Diffusion models and reinforcement learning 🧐 | hyperpotatoneo.github.io
@brosa.ca
Ph.D. Student studying AI & decision making at Mila / McGill University. Currently at FAIR @ Meta. Previously Google DeepMind & Google Brain. https://brosa.ca
@yutaizh.bsky.social
CS PhD student at @uscviterbi.bsky.social. Interested in (inverse) RL, imitation learning, jax, and bayesian methods.
@alizeepace.bsky.social
Gemini Post-Training @ Google DeepMind Previously: ETH Zurich, Cambridge, CERN alizeepace.com
@karimabdel.bsky.social
Intern at CHAI, UC Berkeley | Ex-Research intern at the Krueger AI Safety Lab, University of Cambridge Interested in RL, AI Safety, Cooperative AI, TCS https://karim-abdel.github.io
@notmahi.bsky.social
Building generally intelligent robots that *just work* everywhere, out of the box, at NYU CILVR. Previously at MIT and visiting researcher at Meta AI. https://mahis.life/
@rushivarora.bsky.social
ML Research Scientist at Dell AI by day, RL Researcher at night https://rushivarora.github.io
@yangivyxq.bsky.social
Incoming Assist. Prof of Economics&Finance at SIUE. Macro-finance, causal AI (reinforcement learning). Topics in wealth inequality and entrepreneurship. https://xueqingyang.com
@jramirezruiz.bsky.social
Papá, postdoc in the Ebitz lab in Montreal | comp cog neuro & RL | intrinsically motivated about behavior, coffee, ecologies and agency 🇲🇽🇪🇸🇨🇦 UNAM, UdeS, UPF. How come life? jorgeerrz.github.io
@albertvilella.bsky.social
Bioinformatics Scientist / Next Generation Sequencing, Single Cell and Spatial Biology, Next Generation Proteomics, Liquid Biopsy, SynBio, Compute Acceleration in biotech // http://albertvilella.substack.com
@elieamar.bsky.social
Data Scientist & AI Expert | Growing a 6+ Figure Business | Entrepreneur 🔥
@jskirzynski.bsky.social
PhD student in Computer Science @UCSD. Studying interpretable AI and RL to improve people's decision-making.
@berkustun.bsky.social
Assistant Prof at UCSD. I work on interpretability, fairness, and safety in ML. www.berkustun.com
@haileyjoren.bsky.social
PhD Student @ UC San Diego Researching reliable, interpretable, and human-aligned ML/AI
@eml-munich.bsky.social
Institute for Explainable Machine Learning at @www.helmholtz-munich.de and Interpretable and Reliable Machine Learning group at Technical University of Munich and part of @munichcenterml.bsky.social
@zootime.bsky.social
I work with explainability AI in a german research facility
@juffi-jku.bsky.social
Researcher Machine Learning & Data Mining, Prof. Computational Data Analytics @jkulinz.bsky.social, Austria.
@juliusad.bsky.social
ML researcher, building interpretable models at Guide Labs (guidelabs.bsky.social).
@elglassman.bsky.social
Assistant Professor @ Harvard SEAS specializing in human-computer interaction. Also interested in visualization, digital humanities, urban design.
@chhaviyadav.bsky.social
Machine Learning Researcher | PhD Candidate @ucsd_cse | @trustworthy_ml chhaviyadav.org
@lesiasemenova.bsky.social
Postdoctoral Researcher at Microsoft Research • Incoming Faculty at Rutgers CS • Trustworthy AI • Interpretable ML • https://lesiasemenova.github.io/
@christophmolnar.bsky.social
Author of Interpretable Machine Learning and other books Newsletter: https://mindfulmodeler.substack.com/ Website: https://christophmolnar.com/
@csinva.bsky.social
Senior researcher at Microsoft Research. Seeking good explanations with machine learning https://csinva.io/
@tmiller-uq.bsky.social
Professor in Artificial Intelligence, The University of Queensland, Australia Human-Centred AI, Decision support, Human-agent interaction, Explainable AI https://uqtmiller.github.io
@umangsbhatt.bsky.social
Assistant Professor & Faculty Fellow @ NYU. Responsible AI. Human-AI Collaboration. Interactive Evaluation. umangsbhatt.github.io
@stefanherzog.bsky.social
Senior Researcher @arc-mpib.bsky.social @Max Planck Hum. Developm. @mpib-berlin.bsky.social, group leader #BOOSTING decisions: cognitive science, hybrid collective intelligence, AI, behavioral public policy, misinfo; stefanherzog.org scienceofboosting.org
@fionaewald.bsky.social
PhD Student @ LMU Munich Munich Center for Machine Learning (MCML) Research in Interpretable ML / Explainable AI
@ryanchankh.bsky.social
Machine Learning PhD at UPenn. Interested in the theory and practice of interpretable machine learning. ML Intern@Apple.