Viacheslav Borovitskiy
Assistant Professor in Machine Learning @ University of Edinburgh.
PhD in Mathematics. Ex ETH Zurich.
@oisinmacaodha.bsky.social
Reader in Computer Vision and Machine Learning @ School of Informatics, University of Edinburgh. https://homepages.inf.ed.ac.uk/omacaod
@wyrwalkacper.bsky.social
I dabble in geometric machine learning. Master's student at the University of Oxford.
@liza-semenova.bsky.social
Assistant Prof @ImperialCollege. Applied Bayesian inference, spatial stats and deep generative models for epidemiology. Passionate about probabilistic programming—check out my evolving #Numpyro course: https://elizavetasemenova.github.io/prob-epi 🚀
@motonobu-kanagawa.bsky.social
Statistics, machine learning, numerics, and simulation at EURECOM.
@nocontextbritss.bsky.social
Unofficial. Find the Twitter account here: https://twitter.com/NoContextBrits A celebration of all things great about Britain. Contains sarcasm, irony and some context.
@artemmoskalev.bsky.social
Re-imagining drug discovery with AI 🧬. Deep Learning ⚭ Geometry. Previously PhD at the University of Amsterdam. https://amoskalev.github.io/
@agustinus.kristia.de
Postdoc @ Vector Institute. Probabilistic deep learning, decision-making, AI4Science. Neovim (btw). https://agustinus.kristia.de
@zdeborova.bsky.social
Professor at EPFL. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.
@erikjbekkers.bsky.social
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
@bayescentre.bsky.social
The Bayes Centre is the University of Edinburgh's Innovation Hub for Data Science and AI.
@austinjtripp.bsky.social
(ML ∪ Bayesian optimization ∪ active learning) ∩ (drug discovery) Researcher @valenceai.bsky.social Details: austintripp.ca
@petar-v.bsky.social
Senior Staff Research Scientist, Google DeepMind Affiliated Lecturer, University of Cambridge Associate, Clare Hall GDL Scholar, ELLIS @ellis.eu 🇷🇸🇲🇪🇧🇦
@fxbriol.bsky.social
Associate Professor at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
@itsneuronal.bsky.social
Asst Prof at NYU + Flatiron Institute Computational + Statistical Neuroscience https://neurostatslab.org/
@gioramponi.bsky.social
Assistant Professor at UZH, group leader of the ALPILab 🌼 Working on RL, multi-agent, imitation learning, and other sequential decision-making stuff
@nmwsharp.bsky.social
3D geometry researcher: graphics, vision, 3D ML, etc | Senior Research Scientist @NVIDIA | polyscope.run and geometry-central.net | running, hockey, baking, & cheesy sci fi | opinions my own | he/him personal website: nmwsharp.com
@silviasellan.bsky.social
Incoming Assistant Professor of Computer Graphics and Geometry Processing at Columbia University www.silviasellan.com
@amirvaxman-dgp.bsky.social
Geometry processor, discrete differentiator of geometry, mesher, directional fielder, finite elementor, and reconstructor. Reader (Associate professor) @ School of Informatics @ University of Edinburgh
@ninamiolane.bsky.social
Assis. Prof. @ucsbece Affiliate @SLAClab Stanford Prev @Stanford @Inria @imperialcollege @Polytechnique PI @geometric_intel http://gi.ece.ucsb.edu, Pilot
@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
@mgalkin.bsky.social
Research Scientist @ Google. Prev: Intel, Postdoc @mila-quebec.bsky.social & McGill. GraphML, GNNs, Geometric DL, Knowledge Graphs. Grandmaster of 80's music (according to Spotify)
@spectral.space
PhD student at UCL. Working on Gaussian Processes. I love everything mathy, videogames, and language. 🇧🇷 He/Ele/Él Also as @[email protected]
@mufan-li.bsky.social
Postdoc at Princeton | Incoming Assistant Prof at Waterloo Statistics | Prev: PhD at UofT and Vector https://mufan-li.github.io/
@dvinnie.bsky.social
Researcher at Google DeepMind in London. Previously PhD at Cambridge University.
@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, 🐎 🎶
@ethz.ch
Where the future begins. 🚀🔬 One of the world’s leading universities for technology & natural sciences. Posts in both English and German. www.ethz.ch
@lawrennd.bsky.social
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
@keenancrane.bsky.social
Digital Geometer, Associate Professor of Computer Science & Robotics at Carnegie Mellon University. https://www.cs.cmu.edu/~kmcrane/
@davidduvenaud.bsky.social
Machine learning prof at U Toronto. Working on evals and AGI governance.
@jameshensman.bsky.social
Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
@rsalakhu.bsky.social
VP of Research, GenAI @ Meta (Multimodal LLMs, AI Agents), UPMC Professor of Computer Science at CMU, ex-Director of AI research at @Apple, co-founder Perceptual Machines (acquired by Apple)
@mvdw.bsky.social
Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.
@avehtari.bsky.social
Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer. Also in Mastodon: https://bayes.club/@avehtari
@arnosolin.bsky.social
Assistant Professor in Machine Learning, Aalto University. ELLIS Scholar. http://arno.solin.fi
@willieneis.bsky.social
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io