UniReps
https://unireps.org
Discover why, when and how distinct learning processes yield similar representations, and the degree to which these can be unified.
@mariasofiab.bsky.social
👩🎓Postdoc Sapienza, Rome — PhD at Sapienza, Rome Previously Intern at Amazon Search, Lux — Visiting at Cambridge
@zorah.bsky.social
Assistant professor, University of Bonn and Lamarr Institute, Geometry on Machine Learning group
@jobrandstetter.bsky.social
Co-Founder & Chief Scientist @ Emmi AI. Ass. Prof / Group Lead @jkulinz. Former MSFTResearch, UvA_Amsterdam, CERN, TU_Wien
@simonbatzner.bsky.social
Senior RS at DeepMind. Likes deep learning, supercomputing, physics. Prev: Google Brain, Harvard, MIT, NASA
@chrsmrrs.bsky.social
@RWTH. Previously, @Mila_Quebec, @mcgillu, @polymtl, and @TU_Dortmund. Working on learning with graphs and ML for combinatorial optimization.
@zhongbok.bsky.social
Theoretical Physicist at UCLA Physics & Astronomy https://kang-research-group.physics.ucla.edu
@rosanneliu.com
Founder & executive & community builder & organizer & researcher ML Collective (mlcollective.org) Google DeepMind rosanneliu.com
@zdeborova.bsky.social
Professor at EPFL. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.
@russoel.bsky.social
Theoretical neuroscientist. Interested in neural dynamics, neural coding, and data mining. Asst. Prof. at the BioRobotics Institute, Sant’Anna School of Advanced Studies. PI of the Brain Dynamics Laboratory. http://bit.ly/BrainDynamicsLab
@queerinai.com
Our mission is to raise awareness of queer issues in AI, foster a community of queer researchers and celebrate the work of queer scientists. More about us: queerinai.com
@jpillowtime.bsky.social
comp neuro prof @ Princeton brains, machine learning, & postmodern angst pillowlab.princeton.edu
@cpehlevan.bsky.social
theory of neural networks for natural and artificial intelligence https://pehlevan.seas.harvard.edu/
@romainbrette.bsky.social
Looking at protists with the eyes of a theoretical neuroscientist. Looking at brains with the eyes of a protistologist. (I also like axon initial segments) Forthcoming book: The Brain, in Theory. http://romainbrette.fr/
@dpkingma.bsky.social
Research scientist at Anthropic. Prev. Google Brain/DeepMind, founding team OpenAI. Computer scientist; inventor of the VAE, Adam optimizer, and other methods. ML PhD. Website: dpkingma.com
@shahabbakht.bsky.social
|| assistant prof at University of Montreal || leading the systems neuroscience and AI lab (SNAIL: https://www.snailab.ca/) 🐌 || associate academic member of Mila (Quebec AI Institute) || #NeuroAI || vision and learning in brains and machines
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@cosynemeeting.bsky.social
Computational & Systems Neuroscience (COSYNE) Conference 🧠🧠🧠 Next: Mar 27-April 1 2025, Montreal/Tremblant 🧠🧠🧠 Here too: @[email protected] @CosyneMeeting on Twitter
@suryaganguli.bsky.social
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
@tonyzador.bsky.social
Neuroscientist at CSHL. Interests: neuroAI, molecular connectomics, & cortical circuits. Co-founder of Cosyne and NAISys meetings.
@mila-quebec.bsky.social
Le plus grand centre de recherche universitaire en apprentissage profond — The world's largest academic research center in deep learning.
@zuckermanbrain.bsky.social
Created by @columbiauniversity.bsky.social to be the world's foremost neuroscience institute, we are deciphering the brain — how it develops, works, endures and recovers.
@kristorpjensen.bsky.social
Computational neuroscientist || Postdoc with Tim Behrens || Sainsbury Wellcome Centre @ UCL
@kordinglab.bsky.social
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
@bethgelab.bsky.social
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
@erikjbekkers.bsky.social
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
@tychovdo.bsky.social
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
@mmattamala.bsky.social
Chilean roboticist • Postdoc at DRS, Oxford Robotics Institute • Robot perception, navigation, and autonomy 🌐 http://mmattamala.github.io
@lisaschmors.bsky.social
Postdoc @hertie-ai.bsky.social | PhD @maxplanckcampus.bsky.social & unituebingen.bsky.social | Interested in Computational Neuroscience, Data Science & AI 🧠🤖 | Science Podcast https://linktr.ee/i_am_scientist 🎙️🧬
@lorenzoposani.com
Coding and decoding brains 👨💻 ⮂ 🧠 Associate Research Scientist, K99/R00 Scholar @ Center for Theoretical Neuroscience, Columbia Co-founder @ Cubbit 🐝 ☁️
@zeronoiselab.bsky.social
Lab @ ESI Frankfurt. We believe the brain is noise-free. Or mostly-noise-free-ish. And that if we stare at behaving brains long enough, it will ALL MAKE SENSE.
@erikhermansen.bsky.social
Postdoc with Dunn group @NTNU - Topology, neural computation/representations
@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, 🐎 🎶
@smonsays.bsky.social
compositionality, meta-learning et al. at ETH Zürich https://smn.one
@cami-maura.bsky.social
ra @utaustin.bsky.social • aspiring computational neuroscientist soon -> research intern @flatironinstitute.org website -> https://camila-maura.github.io
@jonasspinner.bsky.social
PhD student working on machine learning for high energy physics. Interested in equivariant architectures and generative modelling.
@binxuwang.bsky.social
@patrickmineault.bsky.social
NeuroAI, vision, open science. NeuroAI researcher at Amaranth Foundation. Previously engineer @ Google, Meta, Mila. Updates from http://neuroai.science
@newtheory.ai
@jacobbam.bsky.social
ML PhD student at University of Oxford. Interested in Geometric Deep Learning
@johannbrehmer.bsky.social
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
@clement-bonet.bsky.social
Postdoctoral researcher at ENSAE interested in Optimal Transport. More information at: https://clbonet.github.io/
@nolovedeeplearning.bsky.social
human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him 👉 https://april-tools.github.io