Chuangtao Ma
Postdoc @aau.dk
Run for life, drift for dream!
https://machuangtao.github.io/
@taylorwwebb.bsky.social
Studying cognition in humans and machines https://scholar.google.com/citations?user=WCmrJoQAAAAJ&hl=en
@lisaalaz.bsky.social
#ML & #NLP PhD student at Imperial College London. Prev. research intern @ Cohere and Google Research. Reasoning and planning with foundation models 🧠 She/her
@sanokows.bsky.social
Ellis PhD Student at JKU Linz working on Diffusion Samplers and combinatorial optimization
@nandofioretto.bsky.social
Assistant Professor of Computer Science at the University of Virginia. I work on Responsible AI (differential privacy & fairness) and machine learning for science and engineering (differentiable optimization) | http://nandofioretto.github.io
@bostromk.net
Reasoning, LMs, that sort of thing :) PhD from UT Austin, applied scientist @ AWS He/him • https://bostromk.net
@martinagvilas.bsky.social
Computer Science PhD student | AI interpretability | Vision + Language | Cogntive Science. https://martinagvilas.github.io/
@michaelcardei.bsky.social
Ph.D. Student in Computer Science at the University of Virginia Researching Responsible Generative AI Member of the RAISE Group Personal Website: https://michaelcardei.github.io/
@noahdgoodman.bsky.social
Professor of Natural and Artificial Intelligence @Stanford. Safety and alignment @GoogleDeepMind.
@jjcmoon.bsky.social
PhD student @ KU Leuven | maene.dev | #neurosymbolic learning & #probabilistic reasoning
@edoardo-ponti.bsky.social
Assistant professor in Natural Language Processing at the University of Edinburgh and visiting professor at NVIDIA | A Kleene star shines on the hour of our meeting.
@shivvarya.bsky.social
PhD Candidate at UTD | Specializing in Probabilistic & Neurosymbolic AI, Explainable AI, and Computer Vision | Website https://shivvrat.github.io
@gdalle.bsky.social
Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
@andreasgrv.bsky.social
Postdoc in ML/NLP at the University of Edinburgh. Interested in Bottlenecks in Neural Networks; Unargmaxable Outputs. https://grv.unargmaxable.ai/
@arpitdm.bsky.social
Senior Data Scientist/Postdoc at Wellcome Sanger Institute | PhD in Computer Science (CS), University of Helsinki | Masters in Computational Humanities, BTech in CS at IIIT-H | SFF and Books | Chelsea FC
@kareemyousrii.bsky.social
Postdoc @ University of California, Irvine | PhD from CS@UCLA Neuro-Symbolic AI, Tractable Probabilistic Reasoning, Generative Models kareemahmed.com
@paulsoulos.bsky.social
Computational Cognitive Science @JhuCogsci researching neurosymbolic methods. Previously wearable engineering @fitbit and @Google.
@marwinsegler.bsky.social
Machine Learning, {Org, Med, Comp} Chem, RL/Planning, AI-assisted Scientific Discovery & Creativity, Music. ELLIS Scholar. Team Lead at Microsoft Research AI for Science. 2xDad
@smaglia.bsky.social
Assistant prof in the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair https://saramagliacane.github.io/
@rethemnos76.bsky.social
Co-founder & CEO, Professor of Computer Graphics, Researcher in Spatial Computing, Accelerating computational medical XR with spatial intelligence
@diadochus.bsky.social
« artificia docuit fames » 📖 deep learning, reasoning 🧪 drug design @Mila_Quebec 🏛️ AI grad @UniTrento halixness.github.io
@loreloc.bsky.social
#probabilistic-ml #circuits #tensor-networks PhD student @ University of Edinburgh https://loreloc.github.io/
@sdumancic.bsky.social
Assistant Professor at TU Delft, working on program synthesis, probabilistic programming, and neuro-symbolic AI. https://sebdumancic.github.io/
@jong21.bsky.social
BSc @ University of Edinburgh Natural Language Processing, LLM Reasonings Actively seeking for PhD position for 2025 spring/fall✨
@benlipkin.bsky.social
phd @ mit, research @ genlm, intern @ apple https://benlipkin.github.io/
@snijssen.bsky.social
Professor in Artificial Intelligence at KU Leuven and UCLouvain, Belgium.
@paolomorettin.bsky.social
Probabilistic + logical + algebraic reasoning/learning Assistant prof. @ University of Trento, Marie Skłodowska-Curie fellow https://paolomorettin.github.io/
@looselycorrect.bsky.social
Senior assistant prof at University of Trento. I dig Explainable AI, Neuro-Symbolic AI, Interactive ML, Constraints & Circuits. https://stefanoteso.github.io/ . I "maintain" https://github.com/stefanoteso/awesome-explanatory-supervision .
@lgilpin.bsky.social
Assistant prof at UCSC in CSE. Likes coffee, carbs, calendaring, and (cons …). She/her. Views my own. https://people.ucsc.edu/~lgilpin/
@norakassner.bsky.social
Research Scientist NLP @ Google DeepMind https://norakassner.github.io/
@thiviyan.bsky.social
Research Scientist at Sony AI, working on AI for Scientific Discovery. Neurosymbolic Learning and Reasoning. thiviyansingam.com
@rao2z.bsky.social
AI researcher & teacher at SCAI, ASU. Former President of AAAI & Chair of AAAS Sec T. Here to tweach #AI. YouTube Ch: http://bit.ly/38twrAV Twitter: rao2z
@mlpacheco.bsky.social
Assistant Professor of Computer Science at the University of Colorado Boulder @bouldernlp.bsky.social 🏳️🌈🇻🇪 https://mlpacheco.github.io
@akhtarmubashara.bsky.social
PhD @ King’s College London • prev CambridgeNLP, TU Wien, intern GoogleDeepmind • NLP, Data-centric ML, Multimodality http://mubasharaakhtar.com
@awmsauter.bsky.social
All things causality, RL and generative models. PhD student in Amsterdam and Leiden.
@dsam99.bsky.social
Machine Learning PhD Student at CMU | Student Researcher at Google | dsam99.github.io
@nmervegurel.bsky.social
Assistant Professor in Computer Science Research in ML robustness, reliability and reasoning PhD from ETH Zurich🇨🇭 Executive Editor of DMLR Journal Organizing Committee NeurIPS and ICLR
@mgalkin.bsky.social
Research Scientist @ Google. Prev: Intel, Postdoc @mila-quebec.bsky.social & McGill. GraphML, GNNs, Geometric DL, Knowledge Graphs. Grandmaster of 80's music (according to Spotify)
@marekrei.bsky.social
AI/ML/NLP researcher and Senior Lecturer at Imperial College London. Working on language models for planning, reasoning and interpretable decision making