Phillip Lippe

@soumithchintala.bsky.social

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

@roydanroy.bsky.social

Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.

@alfcnz.bsky.social

Musician, math lover, cook, dancer, 🏳️‍🌈, and an ass prof of Computer Science at New York University

@franknoe.bsky.social

Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social

@fchollet.bsky.social

Not financial advice. Not culinary advice either.

@petar-v.bsky.social

Senior Staff Research Scientist, Google DeepMind Affiliated Lecturer, University of Cambridge Associate, Clare Hall GDL Scholar, ELLIS @ellis.eu 🇷🇸🇲🇪🇧🇦

@canaesseth.bsky.social

Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io

@patrickkidger.bsky.social

I do SciML + open source! 🧪 ML+proteins @ http://Cradle.bio 📚 Neural ODEs: http://arxiv.org/abs/2202.02435 🤖 JAX ecosystem: http://github.com/patrick-kidger 🧑‍💻 Prev. Google, Oxford 📍 Zürich, Switzerland

@joeybose.bsky.social

Post-doc @UniofOxford w/ @mmbronstein.bsky.social. Into Geometry ∩ Generative Models. @mila-quebec.bsky.social Affiliate member. Phd from @mila-quebec.bsky.social / McGill. website: https://joeybose.github.io/

@avt.im

Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell https://avt.im/ · https://scholar.google.com/citations?user=EGKYdiwAAAAJ&sortby=pubdate

@jascha.sohldickstein.com

Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.

@blackhc.bsky.social

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

@tkipf.bsky.social

Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more). 📍 San Francisco, CA

@rockt.ai

Director and Open-Endedness Team Lead Google DeepMind (GDM). Professor of Artificial Intelligence, University College London (UCL), and PI of @ucldark.com. Fellow, European Laboratory for Learning and Intelligent Systems (ELLIS).

@karen-ullrich.bsky.social

Research scientist at FAIR NY ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.

@tychovdo.bsky.social

Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.

@sedielem.bsky.social

Blog: https://sander.ai/ 🐦: https://x.com/sedielem Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).

@davidpfau.com

So far I have not found the science, but the numbers keep on circling me. Views my own, unfortunately.

@stephanhoyer.com

Building AI climate models at Google. I also contribute to the scientific Python ecosystem, including Xarray, NumPy and JAX. Opinions are my own, not my employer's.

@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.

@jonkhler.argmin.xyz

web @ https://argmin.xyz interests: machine learning, ai4science, algorithms, coding member of technical staff @ https://cusp.ai past @ MSR, DeepMind, MPI-IS home @ Heimbach (Gilserberg), Berlin, Europe born @ 353 ppm block toxicity he/him

@jwvdm.bsky.social

Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.

@johannbrehmer.bsky.social

Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.

@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, 🐎 🎶

@smaglia.bsky.social

Assistant prof in the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair https://saramagliacane.github.io/

@danilojrezende.bsky.social

VP of AI Research, Principal Scientist @ EIT Oxford | ex-Director @ DeepMind Building models to accelerate fundamental sciences and medicine. Opinions my own. https://danilorezende.com/

@maxxxzdn.bsky.social

PhD candidate at AMLab with Max Welling and Jan-Willem van de Meent. Research in physics-inspired and geometric deep learning.

@jasmijn.bastings.me

Senior Research Scientist at Google DeepMind. Interested in (equitable) language technology, gender, interpretability, NLP. Views my own. She/her. 🌐 jasmijn.bastings.me

@douillard.bsky.social

distributed (diloco) + modularity (dipaco) + llm @ deepmind | continual learning phd @ sorbonne

@davidvos.bsky.social

Responsible #RecSys and #IR in the Generative AI era. PhD Candidate at IRLab Amsterdam, supervised by Maarten de Rijke and Andrew Yates. davidvos.dev

@emilevankrieken.com

Post-doc @ University of Edinburgh. Neurosymbolic Machine Learning, Generative Models, NLP https://www.emilevankrieken.com/

@bsky.app

official Bluesky account (check username👆) Bugs, feature requests, feedback: [email protected]