James Thornton
Research scientist at Google DeepMind. Creating noise from data.
@misovalko.bsky.social
Chief Models Officer @ Stealth Startup; Inria & MVA - Ex: Llama @AIatMeta & Gemini and BYOL @GoogleDeepMind
@chrisoffner3d.bsky.social
Student Researcher @ Google MSc CS @ ETH Zurich (@ethzurich.bsky.social) Visual computing, 3D computer vision, Spatial AI, ML, and robotics perception. 📍Zurich, Switzerland
@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
@karstenkreis.bsky.social
Principal Research Scientist at NVIDIA | Former Physicist | Deep Generative Learning | https://karstenkreis.github.io/ Opinions are my own.
@andreaspsteiner.bsky.social
Researching #ComputerVision at #GoogleDeepMind using JAX/Flax (http://github.com/google/flax). Views are my own.
@vsomnath.bsky.social
PhD Student at ETH Zurich, working on generative models for biology
@anjiliu.bsky.social
Incoming Assistant Professor (Presidential Young Professor, PYP) at the National University of Singapore (NUS). https://liuanji.github.io/
@raspstephan.bsky.social
@nmboffi.bsky.social
Building generative models for high-dimensional science and engineering. Assistant prof. @CarnegieMellon & affiliated faculty @mldcmu, previously instructor @NYU_Courant, PhD jointly @Harvard and @MIT https://nmboffi.github.io
@maxfburg.bsky.social
@ramealexandre.bsky.social
Research Scientist at DeepMind. PhD from Sorbonne Université. Merging and aligning Gemmas. https://alexrame.github.io/
@gabrielpeyre.bsky.social
@samiraabnar.bsky.social
@haeggee.bsky.social
PhD Student in Machine Learning @ICepfl MLO, MSc/BSc from @ETH_en. haeggee.github.io
@alaaelnouby.bsky.social
Research Scientist at @Apple. Previous: @Meta (FAIR), @Inria, @MSFTResearch, @VectorInst and @UofG . Egyptian 🇪🇬
@maureendeseyssel.bsky.social
machine learning researcher @Apple | PhD from @CoML_ENS | speech, ml and cognition.
@jgu32.bsky.social
Machine Learning Researcher @Apple MLR Incoming Assistant Professor @Penn CIS See more details https://jiataogu.me
@louisbethune.bsky.social
@tmlr-pub.bsky.social
TMLR Homepage: https://jmlr.org/tmlr/ TMLR Infinite Conference: https://tmlr.infinite-conf.org/
@benmpoole.bsky.social
research scientist at google deepmind. phd in neural nonsense from stanford. poolio.github.io
@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
@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/
@hannes-stark.bsky.social
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
@paulvicol.bsky.social
Research Scientist at Google DeepMind. Working on Gemini reasoning models. PhD from UofT and Vector Institute www.paulvicol.com
@rivershavewings.bsky.social
AI/generative artist. Writes her own code. Absolute power is a door into dreaming.
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
@arthurgretton.bsky.social
@lazaratan.bsky.social
Ph.D. Candidate, UofT & Vector. AI4Science, flows and diffusion, ML for causal dynamics in cells. Prev. Mila, Valence/Recursion, and Deep Genomics.
@adamefoster.bsky.social
Sr Researcher at Microsoft Research AI for Science Former Oxford Stats PhD in Bayesian Experimental Design
@berendz.bsky.social
Chief Scientist at Inverted AI Bahvioral modelling for autonomous driving PhD physicist turned AI researcher
@lucaeyring.bsky.social
ELLIS PhD student at TU Munich & Helmholtz AI Generative Modeling - Optimal Transport - Representation Learning https://lucaeyring.com/
@louissharrock.bsky.social
Postdoc in Statistical Machine Learning @ Lancaster Uni. Previously PhD @ Imperial College London, MA @ Cambridge Uni. Interested in computational statistics, probabilistic machine learning, optimisation. Website: https://louissharrock.github.io/