Phillip Lippe
Research Scientist GoogleDeepMind. Working on large-scale pretraining at Gemini.
https://phlippe.github.io/
@pascalmettes.bsky.social
Assistant Professor, University of Amsterdam Hyperbolic deep learning
@a-lucic.bsky.social
Assistant professor at the University of Amsterdam. Previously at Microsoft Research, Partnership on AI.
@sargechris.bsky.social
PhD candidate @ UvA 🇳🇱, ELLIS 🇪🇺 | {video, neuro, cognitive}-AI Neural networks 🤖 and brains 🧠 watching videos 🔗 https://sites.google.com/view/csartzetaki/
@miltoskofinas.bsky.social
Postdoctoral researcher @vuamsterdam.bsky.social AI for climate | Graph Neural Networks | Geometric Deep Learning | Neural Fields | Spatiotemporal Forecasting mkofinas.github.io
@davidmknigge.bsky.social
PhD candidate at UvA in continuous signal modelling, geometric deep learning and dynamics.
@hildekuehne.bsky.social
Professor for CS at the Tuebingen AI Center and affiliated Professor at MIT-IBM Watson AI lab - Multimodal learning and video understanding - GC for ICCV 2025 - https://hildekuehne.github.io/
@zadaianchuk.bsky.social
Postdoc UvA Amsterdam. PhD in ETH Zürich and MPI IS, intern in Amazon AWS. Structured representation learning for and by autonomous agents. zadaianchuk.github.io
@mdorkenw.bsky.social
🇪🇺 ELLIS PhD @ University of Amsterdam 🤖 Vision-Language, Video Learning, SSL 🏡 www.mdorkenwald.com
@samuelepapa.bsky.social
Deep Learning PhD student @ University of Amsterdam and The Netherlands Cancer Institute. Loving real-world applications, physics, 3D understanding and medical imaging.
@cgumbsch.bsky.social
Postdoc @ University of Amsterdam | world models and sensorimotor abstractions for RL and cognitive modeling |👾🤖🧠 https://cgumbsch.github.io
@cgmsnoek.bsky.social
Head of Video & Image Sense Lab | University of Amsterdam | Scientific Director Amsterdam AI | https://www.ceessnoek.info/
@ivonajdenkoska.bsky.social
Postdoctoral Researcher @UvA_Amsterdam | Prev. @Meta, @KU_Leuven, @Netcetera_Buzz | Vision and Language
@auai.org
Association for Uncertainty in AI. Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 ! https://auai.org/uai2025
@hardmaru.bsky.social
I work at Sakana AI 🐟🐠🐡 → @sakanaai.bsky.social https://sakana.ai/careers
@lottameijerink.bsky.social
PhD student @ Julius Center, UMC Utrecht | causal inference 🤝clinical prediction
@kristinaulicna.bsky.social
Research Scientist 👩💻 at @valenceai.bsky.social 🧬🧪, powered by @recursionpharma.bsky.social 🔬🤖 | Bringing @mila-quebec.bsky.social spirit from Montréal 🇨🇦🍁 to our new London office 🇬🇧 | Enthusiastic "singlecellologist" 👩🔬🧫 into #AI & 🐍💻
@davidetalon.bsky.social
PostDoc in Computer Vision at Fondazione Bruno Kessler, Italy Previously IIT Interested in AI, Multimodal learning, Disentanglement and Causal Representation Learning
@yukimasano.bsky.social
Professor at University of Technology Nuremberg Head of Fundamental AI Lab
@giffmana.ai
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian. Anon feedback: https://admonymous.co/giffmana 📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
@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/
@francois.fleuret.org
Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality. https://fleuret.org
@danruxu.bsky.social
PhD student in the INtelligent Data Engineering lab at the University of Amsterdam, working in multimodal #causal #representation learning. https://danrux.github.io/
@erikjbekkers.bsky.social
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
@taco-cohen.bsky.social
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
@burakvarici.bsky.social
Postdoc at CMU, previously PhD at RPI. Causality, representation learning, misc.
@pcastr.bsky.social
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦. https://psc-g.github.io/
@dumitruerhan.bsky.social
Research Director @GoogleDeepMind. Co-lead of Veo, working on generative models of video and their fun applications.
@abeirami.bsky.social
GenAI post-training at Google DeepMind / Google Research | ex-{Meta, EA, MIT, Harvard, Duke} | Georgia Tech PhD | زن زندگی آزادی | opinions my own 📍{NYC, YYZ} 🔗 https://www.mit.edu/~beirami/
@ivyzhengx.bsky.social
JAX & Flax @ GoogleDeepmind Gemini, neural net frameworks & performance video games, and other random things she/her, wife of a wife 🌈
@gabepsilon.bsky.social
Gemini Thinking @ Google DeepMind. Previously @ Google Brain. Previously @ DeepMind. Intelligent Agents
@matejbalog.bsky.social
Research Scientist at Google DeepMind, working on algorithm discovery using AI: AlphaTensor, FunSearch, and beyond
@cianeastwood.bsky.social
Senior Research Scientist at Valence Labs. Generative modeling (causal, multimodal) and generalisation for scientific discovery. PhD in ML from UofEdinburgh and MPI-IS, with time at Google DeepMind, Meta AI and Spotify. 📍London 🔗 cianeastwood.github.io
@chandlersquires.bsky.social
CMU postdoc, previously MIT PhD. Causality, pragmatism, representation learning, and AI for biology / science more broadly. Proud rat dad.
@leon-lang.bsky.social
PhD Candidate at the University of Amsterdam. AI Alignment and safety research. Formerly multivariate information theory and equivariant deep learning. Masters degrees in both maths and AI. https://langleon.github.io/
@din0s.me
Research Engineer at Zeta Alpha. Likes 🧠 neural IR, 📋 model evals, and 🏋️ lifting weights. Incredibly optimistic about the future! 𝕏: din0s_ / 🖥️: din0s.me
@arminkekic.bsky.social
PhD Student Machine Learning & Causality with Bernhard Schölkopf at Max Planck Institute for Intelligent Systems // Prev.: Applied Science at Zalando, MSc Maths at Oxford, BSc Physics at Heidelberg arminkekic.com
@eijkelboomfloor.bsky.social
PhD candidate at University of Amsterdam | Physics-Informed Generative Modeling