James Thornton
Research scientist at Google DeepMind. Creating noise from data.
@blackhc.bsky.social
My opinions only here. ๐จโ๐ฌ RS DeepMind Past: ๐จโ๐ฌ R Midjourney 1y ๐งโ๐ DPhil AIMS Uni of Oxford 4.5y ๐งโโ๏ธ RE DeepMind 1y ๐บ SWE Google 3y ๐ TUM ๐ค @nwspk
@trappmartin.bsky.social
ML Researcher @ Aalto University ๐ซ๐ฎ. Previous: TU Graz ๐ฆ๐น, originally from ๐ฉ๐ช. Doing: Reliable ML | uncertainty stuff | Bayesian stats | probabilistic circuits https://trappmartin.github.io/
@cperone.bsky.social
http://blog.christianperone.com, Machine Learning, Computer Science and Math. Staff ML Research Engineer working with imitation learning and planning for Autonomous Vehicles. London/UK.
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@thuereygroup.bsky.social
Professor @ TUM | Making numerical methods and deep learning play nicely together | Fluids | Computer Graphics
@imurray.bsky.social
Professor of Machine Learning and Inference, Edinburgh Informatics, Formally Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
@darrenjw.bsky.social
Professor of Statistics, Bayesian, computational systems biologist and functional programmer, https://darrenjw.github.io/
@adamjohansen.bsky.social
Professor of Statistics at University of Warwick; computational methods, Monte Carlo, gradient flows and fun things like those.
@thomas-pinder.bsky.social
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
@sigmabayesian.bsky.social
Visiting Researcher @NYU Courant, CILVR. PhD student @TU Denmark, MLLS(https://mlls.dk). Probabilistic ML/DL. Nth order Markovian. Support Manifolds and latents. Previously intern @SonyAI in deep generative modelling. web: http://uppalanshuk.github.io
@gcorso.bsky.social
PhD student @MIT โข Research on Generative Models for Biophysics and Drug Discovery
@alexxthiery.bsky.social
Associate Prof. in ML & Statistics at NUS ๐ธ๐ฌ MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
@adriencorenflos.bsky.social
Research Fellow at the university of Warwick. I compute integrals for a living. https://adriencorenflos.github.io/
@laurentdinh.bsky.social
Internet pedestrian. โจContent creatorโจ (ML researcher). แ(ใ)แ (he/him/his) https://laurent-dinh.github.io/
@moleitaomath.bsky.social
Georgia Tech Prof; Tsinghua (Math+Phys), Caltech (Control & Dynamical Systems), NYU Courant (Applied & Computational Math) * deep learning theory * (diffusion) generative model, probabilistic machine learning * AI4Science
@chris-nemeth.bsky.social
Professor in Probabilistic Machine Learning @ Lancaster University. Homepage: https://chris-nemeth.github.io
@spmontecarlo.bsky.social
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina
@tobiasfinn.bsky.social
Geoscience/Machine Learning. Scientist working on improving Earth system models with the help of deep learning. CEREA, รฉcole nationale des ponts et chaussรฉes. ๐ซ๐ท๐ฉ๐ช
@yuyangw.bsky.social
Research Scientist at @Apple ML Research (MLR) | PhD from CMU | Simulate physical world with generative models ๐๐งฌ
@anaignatieva.bsky.social
Associate Professor of Statistical Genomics (Oxford Stats) https://www.stats.ox.ac.uk/~ignatiev/
@nicolabranchini.bsky.social
๐ฎ๐น Stats PhD @ University of Edinburgh ๐ด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟ @ellis.eu PhD - visiting @avehtari.bsky.social ๐ซ๐ฎ ๐ค๐ญ about uncertainty quantification. Interested in sampling/transport methodologies, applications in climate/science. https://www.branchini.fun/about
@itsbautistam.bsky.social
I am a research scientist @ Apple MLR, seeking a grand unification of generative modeling ๐ช๐ธ๐บ๐ธ
@arnauddoucet.bsky.social
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
@lebellig.bsky.social
Ph.D. student at CNAM on domain adaptation, generative models, and self-supervised learning for remote sensing and Earth observation ๐ฐ๐ Previously intern @SonyCSL, @Ircam, @Inria Personal website: https://lebellig.github.io/
@sedielem.bsky.social
Blog: https://sander.ai/ ๐ฆ: 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).
@pierreablin.bsky.social
Research scientist at Apple | machine learning, optimization, language modeling pierreablin.com