Starter Packs
Created by Huy Tran (3)
Optimal Transport Starter Pack
Researchers who have been working on anything related to Optimal Transport
AI Conferences Starter Pack
Major Conferences on Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Reinforcement Learning (RL), Computer Vision (CV), Natural Language Processing (NLP), and related fields
High-Signal Machine Learning Starter Pack
One pack to cover them all. Like, comment, and repost to self-nominate. Keywords: AI, Machine Learning, Generative Modeling, Computer Vision, Optimal Transport, Statistics, Geometric Deep Learning, Optimization, Probabilistic ML, LLM, Mechanistic Interpretability, RL
@jlutzeyer.bsky.social
Assistant Professor @ École Polytechnique, IP Paris | Interested in GNNs and Graph Representation Learning | Website: johanneslutzeyer.com
@ainowinstitute.bsky.social
The AI Now Institute produces diagnosis and actionable policy research on artificial intelligence. Find us at https://ainowinstitute.org/
@plotly.com
Put data & AI into action by creating scalable, interactive data apps for your business with Dash. https://plotly.com/
@towardsdatascience.com
Your home for data science & AI. The world's leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals. towardsdatascience.com
@cslg-bot.bsky.social
Unofficial bot by @vele.bsky.social w/ http://github.com/so-okada/bXiv https://arxiv.org/list/cs.LG/new List https://bsky.app/profile/vele.bsky.social/lists/3lim7ccweqo2j ModList https://bsky.app/profile/vele.bsky.social/lists/3lim3qnexsw2g
@paper-feed.bsky.social
Building personalized Bluesky feeds for academics! Pin Paper Skygest, which serves posts about papers from accounts you're following: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest. By @sjgreenwood.bsky.social and @nkgarg.bsky.social
@kempnerinstitute.bsky.social
The Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University.
@scychan.bsky.social
Staff Research Scientist at Google DeepMind. Artificial and biological brains 🤖 🧠
@jmairal.bsky.social
Researcher in machine learning, optimization, computer vision, image and signal processing
@paulgbot.bsky.social
Mirror of Paul Graham’s X account (https://x.com/paulg). Maintained by @fela.xyz, purely as a public service.
@mirceasci.bsky.social
Doing maths research (geom. analysis, metric geometry, large point configs., opt. transport, etc) since ~2010, deep learning and applied research since ~2020. https://sites.google.com/site/mircpetrache/home
@ptenigma.bsky.social
Neuroscientist, professor AI guided tour - https://www.youtube.com/watch?v=fOORfzGjCTA ENIGMA guided tour - https://www.youtube.com/watch?v=YNjP5nZsJyQ Diffusion MRI of Brain Diseases - https://www.youtube.com/watch?v=i2jHFm0wcN0
@kaichan9.bsky.social
2nd-Year PhD @MIT | Applied Probability, Stochastics, Statistics, Numerical Analysis, Machine Learning | Theory x Practice
@martin-gorner.bsky.social
AI/ML engineer. Previously at Google: Product Manager for Keras and TensorFlow and developer advocate on TPUs. Passionate about democratizing Machine Learning.
@sconradi.bsky.social
Theoretical Physics Ph.D., Computer Science Teacher. Author of “Intelligenza Artificiale” Zanichelli 2022. I draw using mathematics and Python, no generative AI. https://profconradi.github.io https://x.com/S_Conradi
@eijkelboomfloor.bsky.social
PhD candidate at University of Amsterdam | Physics-Informed Generative Modeling
@olgatticus.bsky.social
MSCA PhD student at AMLab with Erik Bekkers, interested in geometric deep learning, generative models and their intersection 🌐 ✨ K-hip hop scholar 🇰🇷 and dancer-in-the-making 💃 bit.ly/olga-zaghen
@faiswarwick.bsky.social
Foundations of AI Seminars @ Warwick | Department of Computer Science | University of Warwick| Organising Team: @parisgiampouras.bsky.social, Fanghui Liu, Long Tran-Thanh
@parisgiampouras.bsky.social
Assistant Professor @ Department of Computer Science, University of Warwick
@simonprinceai.bsky.social
Author of "Understanding Deep Learning". http://udlbook.com
@antonioterpin.bsky.social
Aspiring full stack scientist. PhD student with Raff D’Andrea @ ETH Zürich. antonioterpin.com
@animesh-garg.bsky.social
Foundation Models for Generalizable Autonomy. Assistant Professor in AI Robotics, Georgia Tech prev Berkeley, Stanford, Toronto, Nvidia
@polynoamial.bsky.social
Researching reasoning at OpenAI | Co-created Libratus/Pluribus superhuman poker AIs, CICERO Diplomacy AI, and OpenAI o-series / 🍓
@ken-goldberg.bsky.social
Artist, Prof. of Engineering @UCBerkeley, Chief Scientist, @AmbiRobotics & @JacobiRobotics. Interested in robots, rockets, redwoods, rebels.
@adamjohansen.bsky.social
Professor of Statistics at University of Warwick; computational methods, Monte Carlo, gradient flows and fun things like those.
@vanderbilt.edu
Academic rigor and a vibrant campus life, right in the heart of Nashville. Powered by collaboration. 3:1 squirrel-to-student ratio. #DareToGrow
@vcastin.bsky.social
PhD student in Machine learning at Ecole Normale Supérieure, Paris My webpage: https://vcastin.github.io/
@obsidian.md
The free and flexible app for your private thoughts. For help and deeper discussions, join our community: http://obsidian.md/community
@adrhill.bsky.social
PhD student at @bifold.berlin, Machine Learning Group, TU Berlin. Automatic Differentiation, Explainable AI and #JuliaLang. Open source person: adrianhill.de/projects
@hadivafaii.bsky.social
Postdoc at UC Berkeley, Redwood Center | 🧠🤖 | 🎹 | 🎾 | https://mysterioustune.com/
@arthurgretton.bsky.social
@jeffdean.bsky.social
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
@masonkamb.bsky.social
@martaowesyou.bsky.social
UofT CompSci PhD Student in Alán Aspuru-Guzik's #matterlab and Vector Institute | prev. Apple
@berendz.bsky.social
Chief Scientist at Inverted AI Bahvioral modelling for autonomous driving PhD physicist turned AI researcher
@ryzhang.bsky.social
PhD student in Computational Statistics and Machine Learning at STOR-i CDT, Lancaster University, UK. Research Interests: Sampling Algorithms, Bayesian Experiment Designs, Neural Amortization. https://shusheng3927.github.io/
@melisilaydabal.bsky.social
PhD student @Max Planck Institute for Intelligent Systems | working on optimization & game-theoretic frameworks for robust and efficient ML | organizer @twiml.bsky.social | https://melisilaydabal.github.io