Uses machine learning to study literary imagination, and vice-versa. Likely to share news about AI & computational social science / Sozialwissenschaft / 社会科学
Information Sciences and English, UIUC. Distant Horizons (Chicago, 2019). tedunderwood.com
Research Scientist Meta, Adjunct Professor at University of Pittsburgh. Interested in reinforcement learning, approximate DP, adaptive experimentation, Bayesian optimization, & operations research. http://danielrjiang.github.io
📍Chicago, IL
Antiquated analog chatbot. Stochastic parrot of a different species. Not much of a self-model. Occasionally simulating the appearance of philosophical thought. Keeps on branching for now 'cause there's no choice.
Also @pekka on T2 / Pebble.
professor of EECS at MIT, currently visiting IAS. working in theoretical computer science namely algorithm design, complexity theory, circuit complexity, etc.
i'll let you know when P != NP is proved (and when it's not)
NO KINGS
“Overly optimistic” 🦮 in Statistics.
Listening in statistics.
Statistics Professor at UW Madison.
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
Machine Learner by day, 🦮 Statistician at ❤️
In search of statistical intuition for modern ML & simple explanations for complex things👀
Interested in the mysteries of modern ML, causality & all of stats. Opinions my own.
https://aliciacurth.github.io
Research Scientist at Flatiron Institute CCM. Prev Meta AI, NYU, Inria, Quora.
http://alberto.bietti.me
I study language using tools from cognitive science and neuroscience. I also like snuggles.
Software Engineer, currently on sabbatical in Japan. Prev: Apple SRE. Working on something new.
I make sure that OpenAI et al. aren't the only people who are able to study large scale AI systems.
AI researcher at Meta. Other interests include electronic music, DnD, cats.
www.mikaelhenaff.net
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
Digital Geometer, Associate Professor of Computer Science & Robotics at Carnegie Mellon University. There are four lights.
https://www.cs.cmu.edu/~kmcrane/
Machine Learning PhD at Carnegie Mellon University. AI + Decision Making for social good. naveenraman.com
Researcher in Optimization for ML at Inria Paris. Previously at TU Munich.
https://fabian-sp.github.io/
Postdoc at Inria working on optimization and machine learning.
Website: https://matdag.github.io/
⛷️ ML Theorist carving equations and mountain trails | 🚴♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies.
https://ualberta.ca/~szepesva
Building the @marimo.io notebook: https://github.com/marimo-team/marimo.
PyMDE, CVXPY, & ex TensorFlow developer. Minimum-Distortion Embedding book author. Stanford BS/MS/PhD.
