PhD Candidate in Computer Science at IST Austria Working on Computer Vision and Deep Learning
MLxBio @vant_ai. Previously, research @Twitter and FabulaAI (acquired by Twitter). PhD in Graph ML at @imperialcollege and @Cambridge_Uni alumnus
PhD student at the Section for Cognitive Systems, Technical University of Denmark
Research Scientist at Google DeepMind | Building Gemini
guabhinav.com
Computer Science PhD @ Sapienza University
👩🎓Postdoc Sapienza, Rome — PhD at Sapienza, Rome
Previously Intern at Amazon Search, Lux — Visiting at Cambridge
Assistant professor, University of Bonn and Lamarr Institute, Geometry on Machine Learning group
PhD student in machine learning at DTU, Copenhagen.
Especially interested in model representations.
NeurIPS workshop and digital community | 🌐 geometry, algebra, topology + 🤖 deep learning + 🧠 neuroscience | Join us on slack! http://tinyurl.com/nr-slack
Visit our website: https://www.neurreps.org/
https://unireps.org
Discover why, when and how distinct learning processes yield similar representations, and the degree to which these can be unified.
PhD student in ML @UniTrieste
PhD student in NLP at Sapienza | Prev: Apple MLR, @colt-upf.bsky.social , HF Bigscience, PiSchool, HumanCentricArt #NLProc
www.santilli.xyz
PostDoc @ISTAustria 🧑🏻💻 | Organizer of @unireps.bsky.social | Member @ellis.eu | Prev. PhD @SapienzaRoma @ELLISforEurope | @amazon AWS AI | @autodesk AI Lab | (he/him)
PhD candidate in Deep Learning at the University of Trieste, Italy. Formerly visiting at @ucl.ac.uk. Representations, robustness, empirical methods, kernels, physics & neuroscience. Quantitativist, overenthusiastic tinkerer.
https://ballarin.cc/
Post-doc @ University of Trento. I did my PhD @ University of Trento and the University of Pisa. I like #concepts, #symbols, and #representations, but I still don't know what they are.
📍 Trento, Italy
🧵 #identifiability, #shortcuts, #interpretability
Building tools for AI datasets. 😽
Looking in AI datasets. 🙀
Sharing clean open AI datasets. 😻
at https://bsky.app/profile/hf.co
The official account of the Amsterdam Machine Learning Lab (AMLab) at UvA, co-directed by Max Welling and Jan-Willem van de Meent.
Research Scientist at @Apple. Previous: @Meta (FAIR), @Inria, @MSFTResearch, @VectorInst and @UofG . Egyptian 🇪🇬
multimodal data curation @datologyai.com. https://haoliyin.me
Forward Deployed Angel Investor
https://github.com/jwills
data curation research/eng @datologyai.bsky.social
Thinking about Data, a lot
Open, transparent AI for real world impact. Built for developers, creators, and teams shaping what’s next.
President of the @ec.europa.eu
Mother of seven. Brussels-born. European by heart. 🇪🇺
PostDoc Tübingen @mackelab.bsky.social 🇩🇪
PhD Uppsala 🇸🇪
MSc Delft 🇳🇱
Machine learning for science
dgedon.github.io
Loves Mathematics, Machine Learning, Mountains and People. Researcher at and a Nerd (http://xkcd.com/356/). Previously: @StanfordAILab, @Cornell, and @IntelAI.
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian.
Anon feedback: https://admonymous.co/giffmana
📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
My opinions only here.
👨🔬 RS DeepMind
Past:
👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y
🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM
👤 @nwspk
Cofounded and lead PyTorch at Meta. Also dabble in robotics at NYU.
AI is delicious when it is accessible and open-source.
http://soumith.ch
Strengthening Europe's Leadership in AI through Research Excellence | ellis.eu
PostDoc at ETH Zurich | Prev. PhD at Sapienza Roma| Working on Representation Learning.
irene.cannistraci.dev
Postdoctoral Fellow at Technion — Geometric Deep Learning in some of its various forms — PhD at Imperial College London — Previously Twitter, Fabula AI and Politecnico di Milano「 心 」🌟
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
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/
AI models are what they eat.
Optimize training efficiency, maximize performance, and reduce compute costs with our expert curation.
co-founder & CTO @datologyai.com
Data Quality x Privacy
PhD student @ CMU with Zico Kolter and Zack Lipton | Founding Member @datologyai.com | Prev. Comp Sc @iitdelhi
http://pratyushmaini.github.io/
Chief Science Officer, Co-Founder @datologyai
Former: Head of Data Research @MosaicML; FAIR.
views are from nowhere
CEO and Co-founder @ DatologyAI working to make it easy for anyone to make the most of their data. Former: RS FAIR, RS DeepMind, Harvard Neuroscience PhD.
www.datologyai.com
Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
Liesel Beckmann Distinguished Professor of Computer Science at Technical University of Munich and Director of the Institute for Explainable ML at Helmholtz Munich
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
Assistant Professor / Faculty Fellow @nyudatascience.bsky.social studying cognition in mind & brain with neural nets, Bayes, and other tools (eringrant.github.io).
elsewhere: sigmoid.social/@eringrant, twitter.com/ermgrant @ermgrant
Full prof at Saarland University & part of the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal |
🇮🇹🇸🇮 in 🇩🇪🇳🇱
#UAI2026 general chair
https://saramagliacane.github.io/
PhD student @ Technion, Israel.
DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @VantAI
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more).
📍 San Francisco, CA
Research scientist at FAIR NY ❤️ LLMs + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
Senior Staff Research Scientist, Google DeepMind
Affiliated Lecturer, University of Cambridge
Associate, Clare Hall
GDL Scholar, ELLIS @ellis.eu
🇷🇸🇲🇪🇧🇦
Advancing scientific research through computational methods and software tools. Centers: #FlatironCCA, #FlatironCCB, #FlatironCCM, #FlatironCCN and #FlatironCCQ
Asst Prof at NYU + Flatiron Institute
Computational + Statistical Neuroscience
https://neurostatslab.org/
Interested in cognition and artificial intelligence. Research Scientist at Google DeepMind. Previously cognitive science at Stanford. Posts are mine.
lampinen.github.io
https://generalstrikeus.com/
PhD student in computational linguistics at UPF
chengemily1.github.io
Previously: MIT CSAIL, ENS Paris
Barcelona
Researcher in Neuroscience & AI
CNRS, Ecole Normale Supérieure, PSL
currently detached to Meta
comp neuro, neural manifolds, neuroAI, physics of learning
assistant professor @ harvard (physics, center for brain science, kempner institute) + @ Flatiron Institute
https://www.sychung.org
International Conference on Learning Representations https://iclr.cc/
[bridged from https://blog.neurips.cc/ on the web: https://fed.brid.gy/web/blog.neurips.cc ]
Musician, math lover, cook, dancer, 🏳️🌈, and an ass prof of Computer Science at New York University
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems.
Website: https://melaniemitchell.me
Substack: https://aiguide.substack.com/
Dad · Geometry ∩ Topology ∩ Machine Learning
Professor at University of Fribourg 🇨🇭
🏠 https://bastian.rieck.me/
🏫 https://aidos.group
☕️ https://ko-fi.com/pseudomanifold
PhD Student @istaresearch.bsky.social
Mathematician, writer, Cornell professor. All cards on the table, face up, all the time. www.stevenstrogatz.com
Postdoc in AI at the Allen Institute for AI & the University of Washington.
🌐 https://valentinapy.github.io
Assistant Prof at ISTA - Causal Learning and AI Lab
PhD student @cispa.de | Graph ML and Data Attribution | prev: ML intern @ amboss.tech
🌐 siantonelli.github.io
AI for storytelling, games, explainability, safety, ethics. Professor at Georgia Tech. Director of ML Center at GT. Time travel expert. Geek. Dad. he/him
AI @ OpenAI, Tesla, Stanford
Professor, Programmer in NYC.
Cornell, Hugging Face 🤗
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
From Physics to Vision Neuroscience & AI | PhD Candidate @InstVisionParis & @ENS_ULM | Enjoyed my time @FlatironCCN, @CERN | co-organizer @neurreps
Neuro + AI Research Scientist at DeepMind; Affiliate Professor at Columbia Center for Theoretical Neuroscience.
Likes studying learning+memory, hippocampi, and other things brains have and do, too.
she/her.
Official account for IEEE/CVF Conference on Computer Vision & Pattern Recognition. Hosted by @CSProfKGD with more to come.
📍🌎 🔗 cvpr.thecvf.com 🎂 June 19, 1983
Official account for the IEEE/CVF International Conference on Computer Vision. #ICCV2025 Honolulu 🇺🇸 Co-hosted by @natanielruiz @antoninofurnari @yaelvinker @CSProfKGD
Official Account for the European Conference on Computer Vision (ECCV) #ECCV2026, Malmo 🇸🇪 Hosted by @jbhaurum and @CSProfKGD
Member of Technical Staff at @cohere.com 👩🏻💻 | PhD in Natural Language Processing from the University of Edinburgh 🎓 | (she/her)
Director, Max Planck Institute for Intelligent Systems; Chief Scientist Meshcapade; Speaker, Cyber Valley.
Building 3D humans.
https://ps.is.mpg.de/person/black
https://meshcapade.com/
https://scholar.google.com/citations?user=6NjbexEAAAAJ&hl=en&oi=ao
postdoc at Helmholtz AI & TUM | diffusion/flows & (causal) representation learning | previously DTU Copenhagen, MPI Tübingen, Microsoft Research, Amazon
addtt.github.io
•PhD student @ https://www.ucl.ac.uk/gatsby 🧠💻
•Masters Theoretical Physics UoM|UCLA🪐
•Intern @zuckermanbrain.bsky.social|
@SapienzaRoma | @CERN | @EPFL
https://linktr.ee/Clementine_Domine
Assis. Prof. @ucsbece Affiliate @SLAClab Stanford Prev @Stanford @Inria @imperialcollege @Polytechnique PI @geometric_intel
http://gi.ece.ucsb.edu, Pilot
Apple MLR (Barcelona) intern | ELLIS Ph.D. student in representation learning @SapienzaRoma & @ISTAustria | Former NLP Engineer @babelscape
flegyas.github.io
Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila.
A.M. Turing Award Recipient and most-cited AI researcher.
https://lawzero.org/en
https://yoshuabengio.org/profile/
Le plus grand centre de recherche universitaire en apprentissage profond — The world's largest academic research center in deep learning.
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
Computational Linguists—Natural Language—Machine Learning
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
https://Answer.AI & https://fast.ai founding CEO; previous: hon professor @ UQ; leader of masks4all; founding CEO Enlitic; founding president Kaggle; various other stuff…
Research & code: Research director @inria
►Data, Health, & Computer science
►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social
►Sometimes does art photography
►Physics PhD
Associate Professor of Machine Learning, University of Oxford;
OATML Group Leader;
Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
official Bluesky account (check username👆)
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