Michael Albergo
junior fellow at @Harvard.edu, incoming prof at @HSEAS and @Kempnerinstitute.bsky.social studying machine learning and its applications to nature and the sciences
@anayebi.bsky.social
Assistant Professor of Machine Learning, Carnegie Mellon University (CMU) Building a Natural Science of Intelligence 🧠🤖 Prev: ICoN Postdoctoral Fellow @MIT, PhD @Stanford NeuroAILab Personal Website: https://cs.cmu.edu/~anayebi
@sueyeonchung.bsky.social
Assistant Professor of Neural Science at NYU & the Flatiron Institute. Computational Neuroscience, Neural Networks, Neural Manifolds, Physics of Learning, & NeuroAI. https://sites.google.com/site/sueyeonchung/
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@mattiaserra.bsky.social
Serra Group at UCSD Physics: Nonlinear Dynamics & Physics of Living Systems. http://www.mattiaserra.com Prev. |@SchmidtFellows @Harvard, PhD @ETH_en
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@jesfrellsen.bsky.social
Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU) https://frellsen.org
@k-neklyudov.bsky.social
Assistant Professor at Mila and UdeM https://necludov.github.io/
@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/
@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
@mschauer.bsky.social
Statistician, Associate Professor (Lektor) at University of Gothenburg and Chalmers; inference and conditional distributions for anything https://mschauer.github.io http://orcid.org/0000-0003-3310-7915 [ˈmoː/r/ɪts ˈʃaʊ̯ɐ]
@michaelnielsen.bsky.social
Searching for the numinous Australian Canadian, currently living in the US https://michaelnotebook.com
@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).
@harvard.edu
Official account for Harvard University. Devoted to excellence in teaching, learning, and research, and to developing leaders who make a difference globally.
@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
@ethanepperly.bsky.social
PhD candidate in applied math at Caltech interested in computational linear algebra he/him
@tom-andersson.bsky.social
Research Engineer at Google DeepMind; Building AI for climate change mitigation & adaptation; he/him
@gabrielpeyre.bsky.social
@krotov.bsky.social
I am a physicist working on neural networks (both artificial and biological). Find me on https://research.ibm.com/people/dmitry-krotov
@alexxthiery.bsky.social
Associate Prof. in ML & Statistics at NUS 🇸🇬 MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
@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.
@grant.rotskoff.cc
Statistical mechanic working on generative models for biophysics and beyond. Assistant professor at Stanford. https://statmech.stanford.edu
@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
@joanbruna.bsky.social
Professor of Computer Science, Data Science and Mathematics (aff), Courant Institute of Mathematical Sciences and Center for Data Science, New York University. Visiting Scholar at Flatiron Institute.
@kempnerinstitute.bsky.social
The Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University.
@giffmana.ai
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian. Anon feedback: https://admonymous.co/giffmana 📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
@teorth.bsky.social
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
@lebellig.bsky.social
Ph.D. student at CNAM on domain adaptation, generative models, and self-supervised learning for remote sensing and Earth observation 🛰🌎 Previously intern @SonyCSL, @Ircam, @Inria Personal website: https://lebellig.github.io/
@handle.invalid
Asst. Professor of Physics, Chemistry, Mathematics, Neural Science at NYU | Simons Foundation Faculty Fellow | Open Science http://colabfit.org martinianilab.org
@wattenberg.bsky.social
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
@tbereau.bsky.social
Interested in biomolecular simulations and machine learning of soft matter and biomolecules. Prof at Heidelberg University
@kylecranmer.bsky.social
Director Data Science Institute @UWMadison, Professor of Physics, EiC @MLSTjournal. Physics, stats/ML/AI, open science.
@annasugrue.bsky.social
@tanyaveeravalli.bsky.social
Dynamical Systems and Deep Learning Research @ UIUC Prev: CompSci and Economics @ UC Berkeley
@florentinguth.bsky.social
Postdoc at NYU CDS and Flatiron CCN. Wants to understand why deep learning works.
@kanakarajanphd.bsky.social
Associate Professor at Harvard & Kempner Institute. Applying computational frameworks & machine learning to decode multi-scale neural processes. Marathoner. Rescue dog mom. https://www.rajanlab.com/