Patricia Diaz
I learn about learning, think about thinking, and know about knowledge
@bharathhariharan.bsky.social
Associate Professor @ Cornell, Computer vision & machine learning
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@sherrytswu.bsky.social
Assist. Prof at CMU, CS PhD at UW. HCI+AI, map general-purpose models to specific use cases!
@kempnerinstitute.bsky.social
The Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University.
@handle.invalid
Neurodata Without Borders is a standard for neurophysiology data
@alleninstitute.org
The Allen Institute is committed to solving mysteries of bioscience — researching the unknown of human biology, in the brain, the cell and the immune system.
@pessoabrain.bsky.social
Luiz Pessoa, University of Maryland, College Park Neuroscientist interested in cognitive-emotional brain Author of The Entangled Brain, MIT Press, 2022 Author of The Cogitive-Emotional Brain, MIT Press, 2013 Neuroscience & Philosophy Salon (YouTube)
@lipshutz.bsky.social
Studying neural computation • Assistant Professor of Neuroscience at Baylor College of Medicine • lipshutzlab.com
@rl-conference.bsky.social
Information and updates about RLC 2025 at the University of Alberta from Aug. 5th to 8th! https://rl-conference.cc
@veronicachelu.bsky.social
neuroscience, psychedelics, RL & decision-making, ML @ McGill University / MILA Quebec AI Institute •past Google DeepMind London / Montreal https://veronicachelu.github.io __ •meditation enthusiast •yogi/200h RYT •handbalancer/contortionist
@summerfieldlab.bsky.social
Neuronerd, Prof, head of HIP lab in Experimental Psychology, Oxford. Researcher, UK AI Safety Institute. https://humaninformationprocessing.com/.
@musintec.bsky.social
Learning from the emerging future to transform the present https://www.musintec.com
@djfoster.bsky.social
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
@pcastr.bsky.social
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦. https://psc-g.github.io/
@natolambert.bsky.social
A LLN - large language Nathan - (RL, RLHF, society, robotics), athlete, yogi, chef Writes http://interconnects.ai At Ai2 via HuggingFace, Berkeley, and normal places
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
@rivershavewings.bsky.social
AI/generative artist. Writes her own code. Absolute power is a door into dreaming.
@laurentdinh.bsky.social
Internet pedestrian. ✨Content creator✨ (ML researcher). ᕕ(ツ)ᕗ (he/him/his) https://laurent-dinh.github.io/
@alexalemi.bsky.social
Machine Learning Researcher https://alexalemi.com https://blog.alexalemi.com
@karen-ullrich.bsky.social
Research scientist at FAIR NY ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
@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.
@drscotthawley.bsky.social
Mostly: ML for music production workflows. Professor of Physics & Senior Data Fellow at Belmont University, Nashville TN Head of Research for Hyperstate Music AI. Teacher of audio engineers, Opinions my own. Explainer blog: https://drscotthawley.github.io
@natanielruiz.bsky.social
senior research scientist at Google | author of DreamBooth https://natanielruiz.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/
@phillipisola.bsky.social
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI. https://web.mit.edu/phillipi/
@jaakkolehtinen.bsky.social
Generative AI and computer graphics at Aalto University & NVIDIA Research. @ellis.eu Fellow. https://users.aalto.fi/~lehtinj7
@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/
@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!
@paulvicol.bsky.social
Research Scientist at Google DeepMind. Working on Gemini reasoning models. PhD from UofT and Vector Institute www.paulvicol.com
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@canaesseth.bsky.social
Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io
@jonkhler.argmin.xyz
web @ https://argmin.xyz interests: machine learning, ai4science, algorithms, coding member of technical staff @ https://cusp.ai past @ MSR, DeepMind, MPI-IS home @ Heimbach (Gilserberg), Berlin, Europe born @ 353 ppm block toxicity he/him
@gowthami.bsky.social
PhD-ing at UMD. Knows a little about multimodal generative models. Check out my website to know more - https://somepago.github.io/
@unixpickle.bsky.social
Code, AI, and 3D printing. Opinions are my own, not my computer's...for now. Co-creator of DALL-E 2. Researcher @openai.
@jonbarron.bsky.social
AI researcher at Google DeepMind. Synthesized views are my own. 📍SF Bay Area 🔗 http://jonbarron.info This feed is a partial mirror of https://twitter.com/jon_barron
@jparkerholder.bsky.social
RS at Google DeepMind and Honorary Lecturer at UCL. Building general world models to solve AGI :)
@thuereygroup.bsky.social
Professor @ TUM | Making numerical methods and deep learning play nicely together | Fluids | Computer Graphics
@hannes-stark.bsky.social
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
@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
@jyim.bsky.social
PhD candidate at MIT CSAIL. Generative models, protein design. Ex: DeepMind, Microsoft, Instagram, Johns Hopkins University. Website: https://people.csail.mit.edu/jyim/ X: https://x.com/json_yim
@maxilse.bsky.social
Working at microsoft research health futures. Interested in causal representation learning and generative modelling applied to medical data.