Rob Romijnders
@combayns-workshop.bsky.social
Combining Bayesian and Neural approaches for Structured Data. ComBayNS workshop @ IJCNN 2025 Conference, Rome, June 30-July 2 2025.
@mmderakhshani.bsky.social
PhD student at the University of Amsterdam | ex-intern at Microsoft Research and Samsung AI Research | Cohere For AI Community Researcher
@rvalperga.bsky.social
PhD student at UVA 🇳🇱. ML & Dynamical Systems are my thing. Currently intern at ServiceNow 🇨🇦.
@taco-cohen.bsky.social
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
@zdeborova.bsky.social
Professor at EPFL. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.
@bunnech.bsky.social
Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute. www.aimm.epfl.ch
@rmassidda.it
Post Doc researcher at the University of Pisa. Previously PhD student @ellis.eu.
@a-lucic.bsky.social
Assistant professor at the University of Amsterdam. Previously at Microsoft Research, Partnership on AI.
@monaschir.bsky.social
PhD candidate @amlab.bsky.social @ellis.eu Probabilistic Machine Learning | Sequence Models
@k-neklyudov.bsky.social
Assistant Professor at Mila and UdeM https://necludov.github.io/
@mdorkenw.bsky.social
🇪🇺 ELLIS PhD @ University of Amsterdam 🤖 Vision-Language, Video Learning, SSL 🏡 www.mdorkenwald.com
@dholzmueller.bsky.social
Postdoc in machine learning with Francis Bach & @GaelVaroquaux: neural networks, tabular data, uncertainty, active learning, atomistic ML, learning theory. https://dholzmueller.github.io
@madelonhulsebos.bsky.social
Faculty at CWI & ELLIS Amsterdam https://trl-lab.github.io. Previously at UC Berkeley and the University of Amsterdam. Research on neural models for tabular data; table representation learning 💫. https://www.madelonhulsebos.com
@dcdegeus.bsky.social
Postdoc @ RWTH Aachen & Eindhoven University of Technology | Computer Vision
@giffmana.ai
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian. Anon feedback: https://admonymous.co/giffmana 📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
@jvgemert.bsky.social
Head of the Computer Vision lab; TU Delft. - Fundamental empirical Deep Learning research - Visual inductive priors for data efficiency Web: https://jvgemert.github.io/
@eccv.bsky.social
Official Account for the European Conference on Computer Vision (ECCV) #ECCV2026, Malmo 🇸🇪 Hosted by @jbhaurum and @CSProfKGD
@phillipisola.bsky.social
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI. https://web.mit.edu/phillipi/
@chriswolfvision.bsky.social
Principal Scientist at Naver Labs Europe, Lead of Spatial AI team. AI for Robotics, Computer Vision, Machine Learning. Austrian in France. https://chriswolfvision.github.io/www/
@mahdihaghifam.bsky.social
Researcher in ML and Privacy. Distinguished Postdoc at Khoury College Northeastern. PhD @UofT & @VectorInst. previously Research Intern @Google and @ServiceNowRSRCH https://mhaghifam.github.io/mahdihaghifam/
@mahdi.ch
Theoretical Computer Science professor @ U. of Michigan-Ann Arbor. Opinions are mine and may evolve over time. repost ≠ endorsement. Policy: I don't interact with anonymous profiles. Join AAUP. he/him/his.
@elichien.bsky.social
Incoming assistant professor at National Taiwan University. Postdoc at GeorgiaTech. Ph.D. from UofIllinois. Focus on privacy + graph learning. #MachineUnlearning #DifferentialPrivacy #DP #GNN #LLM Homepage: https://sites.google.com/view/eli-chien/home
@newtheory.ai
@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/
@auai.org
Association for Uncertainty in AI. Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 ! https://auai.org/uai2025
@amartyasanyal.bsky.social
Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.
@koaning.bsky.social
Prefer common sense over hype. Employed at @marimo.io, building calmcode.io and dearme.email. Also blogs over at https://koaning.io.
@sarahooker.bsky.social
I lead Cohere For AI. Formerly Research Google Brain. ML Efficiency, LLMs, @trustworthy_ml.
@kaifulee.bsky.social
#AI expert, CEO 01.ai, Chairman Sinovation Ventures, Author of AI 2041 and NYT Bestseller AI Superpowers
@chrmanning.bsky.social
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
@nicolaspapernot.bsky.social
Security and Privacy of Machine Learning at UofT, Vector Institute, and Google 🇨🇦🇫🇷🇪🇺 Co-Director of Canadian AI Safety Institute (CAISI) Research Program at CIFAR. Opinions mine
@zstevenwu.bsky.social
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., RLHF). https://zstevenwu.com/
@thejonullman.bsky.social
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@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
@philipphennig.bsky.social
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
@timrudner.bsky.social
Assistant Professor & Faculty Fellow, NYU. AI Fellow, Georgetown University. Probabilistic methods for robust and transparent ML & AI Governance. Prev: Oxford, Yale, UC Berkeley. https://timrudner.com
@imurray.bsky.social
Professor of Machine Learning and Inference, Edinburgh Informatics, Formally Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray