@chadtopaz.bsky.social
Data science + math for social justice at QSIDE Institute, Williams College, CU Boulder. Violist, yogi, husband, dad to human & dogs. 🏳️🌈 Homepage: www.chadtopaz.com Nonprofit: www.qsideinstitute.org
@brunofmr.bsky.social
Associate Professor of Computer Science @Purdue, interested in graphs, invariances, causality, and OOD robustness in ML
@clabat9.bsky.social
Postdoc @Harvard | Topological Signal Processing ⋂ Deep Learning ⋂ AI for Health and Climate ⋂ Stochastic Optimization | Ex Visiting Associate @PennEngineers 🔗 cbattiloro.com
@rat-deco.bsky.social
back in the day you could just get into fights with Nobel laureates in the comments section of obscure forums ML research person 🚬🐀🌌
@jacobbam.bsky.social
ML PhD student at University of Oxford. Interested in Geometric Deep Learning
@ipsit.bsky.social
Looking for a PhD Position in Topological Deep Learning | Ex Sony AI | Purdue | IIT Bombay ipsitmantri.github.io
@pseudomanifold.topology.rocks
Dad · Geometry ∩ Topology ∩ Machine Learning Professor at University of Fribourg While #geometry & #topology may not save the world, they may well save something that is homotopy-equivalent to it. 🏠 https://bastian.rieck.me/ 🏫 https://aidos.group
@olgatticus.bsky.social
MSCA PhD student at AMLab with Erik Bekkers, interested in geometric deep learning, generative models and their intersection 🌐 ✨ bit.ly/olga-zaghen
@algarciacast.bsky.social
PhD candidate at @amlab.bsky.social focusing on Geometry-informed Machine Learning 🤖 https://agarciacast.github.io
@maxxxzdn.bsky.social
PhD candidate at AMLab with Max Welling and Jan-Willem van de Meent. Research in physics-inspired and geometric deep learning.
@congliu.bsky.social
PhD student @ AMLab interested in Geometric Deep Learning, AI4Science, generative models on Molecules / Protein
@davidmknigge.bsky.social
PhD candidate at UvA in continuous signal modelling, geometric deep learning and dynamics.
@neribr.bsky.social
Technical Leader - Artificial Intelligence and Machine Learning Enthusiast - Senior Software Engineer https://www.linkedin.com/in/brunoneri
@abbybertics.bsky.social
dynamical neuroscience phd student at ucsb 🧠 geometric intelligence lab & complex systems group in past lives: science correspondent at The Economist 📝🎡 computer science and volleyball at mit 💻🏐
@du-nguyen.bsky.social
Mathematician - Interested in ML, Geometry, Optimization, Time Series https://scholar.google.com/citations?user=vIJxhvcAAAAJ&hl=en https://github.com/dnguyend/
@hamedshirzad.bsky.social
PhD student in Computer Science at UBC | Exploring Machine Learning on Graphs https://www.hamedshirzad.com/
@dcharbon.bsky.social
CTO Mimoto, he/him Interests: Open Source, graph query at scale, category theory, sheaf theory, parallelism @[email protected]
@franciscoacosta.bsky.social
Physics PhD candidate UC Santa Barbara | Geometric Intelligence Lab AI, geometry, dynamics, complex systems prev physics at MIT AI researcher @ atmo.ai
@unireps.bsky.social
https://unireps.org Discover why, when and how distinct learning processes yield similar representations, and the degree to which these can be unified.
@neurreps.bsky.social
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/
@gram-org.bsky.social
Geometry-grounded representation learning and generative modeling at ICML.
@tkipf.bsky.social
Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). 📍 San Francisco, CA
@melaniemitchell.bsky.social
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems. Website: https://melaniemitchell.me Substack: https://aiguide.substack.com/
@petar-v.bsky.social
Senior Staff Research Scientist, Google DeepMind Affiliated Lecturer, University of Cambridge Associate, Clare Hall GDL Scholar, ELLIS @ellis.eu 🇷🇸🇲🇪🇧🇦
@colah.bsky.social
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
@joanbruna.bsky.social
Professor of Computer Science, Data Science and Mathematics (aff), Courant Institute of Mathematical Sciences and Center for Data Science, New York University. Visiting Scholar at Flatiron Institute.
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@taco-cohen.bsky.social
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
@yoshuabengio.bsky.social
Full professor at UdeM, Founder and Scientific Advisor at Mila - Quebec AI Institute, A.M. Turing Award Recipient. Working towards the safe development of AI for the benefit of all. Website and blog: https://yoshuabengio.org/
@ian-goodfellow.bsky.social
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Chronically ill: bilateral Ménière’s disease + long COVID. Founding chairman of www.publichealthactionnetwork.org
@yann-lecun.bsky.social
Professor a NYU; Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate. http://yann.lecun.com
@alfcnz.bsky.social
Musician, math lover, cook, dancer, 🏳️🌈, and an ass prof of Computer Science at New York University
@amlab.bsky.social
The official account of the Amsterdam Machine Learning Lab (AMLab) at UvA, co-directed by Max Welling and Jan-Willem van de Meent.
@sharvaree.bsky.social
PhD student at @amlab.bsky.social Geometric deep learning + Generative modeling. 🇳🇱🇺🇸🇮🇳 Organizer @gram-org.bsky.social workshop 📍 Amsterdam/SF
@erikjbekkers.bsky.social
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
@mmbronstein.bsky.social
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, 🐎 🎶
@mathildepapillon.bsky.social
Deep Learning + Topology + Human Movement Physics PhD candidate Now at Geometric Intelligence Lab, UC Santa Barbara and Los Angeles Dodgers Prev McGill Physics mathildep.ca
@dafidofff.bsky.social
PhD candidate w/ @erikjbekkers & @egavves interested in Geometric Deep Learning and Generative Modelling at @AMLab & @ellogonai github.com/Dafidofff
@naturecomputes.bsky.social
Searching for principles of neural representation | Neuro + AI @ enigmaproject.ai | Stanford | sophiasanborn.com
@s-azeglio.bsky.social
From Physics to Vision Neuroscience & AI | PhD Candidate @InstVisionParis & @ENS_ULM | Enjoyed my time @FlatironCCN, @CERN | co-organizer @neurreps
@geometric-intel.bsky.social
Research lab at UCSB Engineering revealing the geometric signatures of nature and artificial intelligence | PI: @ninamiolane.bsky.social
@ninamiolane.bsky.social
Assis. Prof. @ucsbece Affiliate @SLAClab Stanford Prev @Stanford @Inria @imperialcollege @Polytechnique PI @geometric_intel http://gi.ece.ucsb.edu, Pilot