Kirill Neklyudov
Assistant Professor at Mila and UdeM
https://necludov.github.io/
@laurentdinh.bsky.social
Internet pedestrian. ✨Content creator✨ (ML researcher). ᕕ(ツ)ᕗ (he/him/his) https://laurent-dinh.github.io/
@maxilse.bsky.social
Working at microsoft research health futures. Interested in causal representation learning and generative modelling applied to medical data.
@artemmoskalev.bsky.social
Re-imagining drug discovery with AI 🧬. Deep Learning ⚭ Geometry. Previously PhD at the University of Amsterdam. https://amoskalev.github.io/
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@backdeluca.bsky.social
@sharvaree.bsky.social
PhD student at @amlab.bsky.social Geometric deep learning + Generative modeling. 🇳🇱🇺🇸🇮🇳 Organizer @gram-org.bsky.social workshop 📍 Amsterdam/SF
@gbarto.bsky.social
PhD candidate at AMLab, UvA. Diffusion Models, Generative Models, Deep Learning. grigorybartosh.github.io
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@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
@malyshevjr.bsky.social
“All easy quantum many-body problems are alike: they are either a harmonic oscillator or free fermions in disguise. Each hard QMB problem is hard in its own way.” — The Anna Karenina principle of QMB physics Postdoc at ETH (Demler group)
@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
@gcorso.bsky.social
PhD student @MIT • Research on Generative Models for Biophysics and Drug Discovery
@r00tman.bsky.social
PhD student at MPI Informatics, ex @bayesgroup. 3D Scene Representations, Computer Vision, Graphics, VR/AR, Bayesian ML, Music | 🇺🇦 https://vrudnev.me/
@alexiajm.bsky.social
AI Researcher at the Samsung SAIT AI Lab 🐱💻 I build generative models for images, videos, text, tabular data, NN weights, molecules, and now video games!
@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/
@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
@alexalemi.bsky.social
Machine Learning Researcher https://alexalemi.com https://blog.alexalemi.com
@franknoe.bsky.social
Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social
@chhdellago.bsky.social
Physicist, professor @univie.ac.at, director of @esivienna.bsky.social, computational physics, statistical mechanics, machine learning, soft matter, biking, hiking, skiing, *320 ppm. 🇪🇺
@cmaddis.bsky.social
Asst. Prof. in Machine Learning at UofT. #LongCOVID patient. https://www.cs.toronto.edu/~cmaddis/
@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
@olexandr.bsky.social
Chemistry professor at CMU. Connecting chemical sciences with AI #MachineLearning and automated experimentation. #tarheels fan. Care: #design, #photography #Ukraine #cats🐈 Rants are mine
@aspuru.bsky.social
Professor of Chemistry and Computer Science University of Toronto Faculty member, Vector Institute Director, Acceleration Consortium Senior Director of Quantum Chemistry NVIDIA My views expressed here are personal and are not those of my employers.
@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
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
@kylecranmer.bsky.social
Director Data Science Institute @UWMadison, Professor of Physics, EiC @MLSTjournal. Physics, stats/ML/AI, open science.
@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).
@canaesseth.bsky.social
Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io
@annalenakofler.bsky.social
PhD Student at MPI-IS working on ML for Gravitational Waves | #MLforPhysics #SBI https://www.annalenakofler.com
@chatgtp.bsky.social
Machine learning for molecular biology. ELLIS PhD student at Fabian Theis lab. EPFL alumnus.
@mraginsky.bsky.social
web: http://maxim.ece.illinois.edu substack: https://realizable.substack.com
@milescranmer.bsky.social
AI + Astro/Physics. Assistant Prof at Cambridge. astroautomata.com/
@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, 🐎 🎶
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@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.
@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
@cottascience.bsky.social
Postdoc fellow at Vector Institute; Machine Learning & Causal Inference; From BH🔺🇧🇷 in TO 🇨🇦 http://cottascience.github.io
@keenancrane.bsky.social
Digital Geometer, Associate Professor of Computer Science & Robotics at Carnegie Mellon University. https://www.cs.cmu.edu/~kmcrane/
@davidpfau.com
So far I have not found the science, but the numbers keep on circling me. Views my own, unfortunately.