Daily-updated stream of AI research from ArXiv
Computer Vision Engineer at Meta. OpenPifPaf. Previously at Sidewalk Labs (Alphabet). PhD in Higgs discovery.
www.svenkreiss.com
cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her
https://psamathe50.github.io/sikatasengupta/
Associate Professor @ Trinity College Dublin. Computer Science, AI, Reinforcement Learning, Intelligent Mobility
Assistant Professor at UCLA | Alum @MIT @Princeton @UC Berkeley | AI+Cognitive Science+Climate Policy | https://ucla-cocopol.github.io/
RS DeepMind. Works on Unsupervised Environment Design, Problem Specification, Game/Decision Theory, RL, AIS. prev CHAI_Berkeley
aspiring independent researcher exploring the loss landscape • 24 • interested in reasoning, creativity, intelligence
stochasm.blog
hot takes, linear Algebra, JAX apologist, Raconteur
Professionally curious about the science of making bad decisions; AI safety and security researcher; Assistant Professor of CS and Data Science & Director of the Secure and Assured Intelligent Learning (SAIL) lab @ University of New Haven.
CS PhD student at UPenn studying strategic human-AI interaction. On the job market! Nataliecollina.com
Ask me about Reinforcement Learning
Research @ Sony AI
AI should learn from its experiences, not copy your data.
My website for answering RL questions: https://www.decisionsanddragons.com/
Views and posts are my own.
Reinforcement Learning Postdoc at FLAIR, University of Oxford @universityofoxford.bsky.social
All opinions are my own.
AI researcher at XBOW. Security, RE, ML. PGP http://keybase.io/moyix/
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).
Research @OpenAI. I study Reinforcement Learning. PhD from UT Austin. Previously FAIR Paris, Meta US, NVIDIA, CMU, and IIT Kharagpur.
Website: https://hari-sikchi.github.io/
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
PhD Student in Machine Learning at CMU.
🐦 twitter.com/steph_milani
🌐 stephmilani.github.io
PhDing @UCSanDiego @NVIDIA @hillbot_ai on scalable robot learning and embodied AI. Co-founded @LuxAIChallenge to build AI competitions. @NSF GRFP fellow
http://stoneztao.com
Embodied lifelong learning (compositionality, RL, TAMP, robotics). Assistant Professor at Stony Brook ECE. Postdoc at MIT CSAIL, PhD from GRASP lab at Penn.
https://jorge-a-mendez.github.io
NeuroAI PhD Candidate at McGill / Mila.
Loves: 🧠 🏕️ 🏔️ 🏊🏻♂️ 🚴🏻♂️ 🏃🏻♂️ 🎨📚☕
https://raymondchua.github.io
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
www.rummanchowdhury.com
www.humane-intelligence.org
CEO & co-founder, Humane Intelligence
US Science Envoy for AI (Biden Administration)
language model pretraining @ai2.bsky.social, co-lead of data research w/ @soldaini.net, statistics @uw, open science, tabletop, seattle, he/him,🧋 kyleclo.com
Philosopher of Artificial Intelligence & Cognitive Science
https://raphaelmilliere.com/
English PhD turned Machine Learning Researcher. I medicate my imposter syndrome with cold brews.
Current:
Foundation Models @ Apple
Prev:
LLMs/World Models @ Riot Games
RecSys @ Apple
Seattle -> NYC 🏳️🌈
Waiting on a robot body. All opinions are universal and held by both employers and family. ML/NLP professor.
nsaphra.net
AI scientist & consultant :: prev Amazon Alexa, Toshiba, Cam Uni :: voice & language tech :: powered by coffee :: photographer :: Cambridge UK
https://www.catherinebreslin.co.uk
natural language processing and computational linguistics at google deepmind.
AI policy researcher, wife guy, fan of cute animals and sci-fi, executive director of AVERI, Substacker
CS Prof at the University of Oregon, studying adversarial machine learning, data poisoning, interpretable AI, probabilistic and relational models, and more. Avid unicyclist and occasional singer-songwriter. He/him
- Director @adalovelaceinst.bsky.social:ensuring data & AI work for ppl & society
- Stint in government - led #NationalDataStrategy; roles in Cabinet Office, ONS & MHCLG
- Charity roles inc. Samaritans Trustee; staff @ The RSA, Centrepoint, ParkinsonsUK
Researcher at the European Commission Joint Research Centre (JRC). Multimodality & interpretability in AI for health. Occasionally, AI for dream research. All views are my own
https://lorenzoscottb.github.io
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
Linguational Computist
Bayesian Naïveist
Entropy Ma(r)ximist
Probably Approximately Correctist
AI for climate change and biodiversity. PhD. Co-founder @climateainordics.com -- Head of deep learning research at RISE in Sweden. Love trail running and snowboarding. See feed on AI for climate change. -- https://climateainordics.com , https://ridr.se
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs.
https://willieneis.github.io
Principal Scientist at Naver Labs Europe, Lead of Spatial AI team. AI for Robotics, Computer Vision, Machine Learning. Austrian in France. https://chriswolfvision.github.io/www/
|| assistant prof at University of Montreal || leading the systems neuroscience and AI lab (SNAIL: https://www.snailab.ca/) 🐌 || associate academic member of Mila (Quebec AI Institute) || #NeuroAI || vision and learning in brains and machines
Researcher at Google and CIFAR Fellow, working on the intersection of machine learning and neuroscience in Montréal (academic affiliations: @mcgill.ca and @mila-quebec.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
Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/
Independent AI researcher, creator of datasette.io and llm.datasette.io, building open source tools for data journalism, writing about a lot of stuff at https://simonwillison.net/
AI Architect | North Carolina | AI/ML, IoT, science
WARNING: I talk about kids sometimes
Research scientist at FAIR NY ❤️ LLMs + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
Principal Research Scientist at IBM Research AI in New York. Speech, Formal/Natural Language Processing. Currently LLM post-training, structured SDG and RL. Opinions my own and non stationary.
ramon.astudillo.com
Human-centered AI #HCAI, NLP & ML. Director TRAILS (Trustworthy AI in Law & Society) and AIM (AI Interdisciplinary Institute at Maryland). Formerly Microsoft Research NYC. Fun: 🧗🧑🍳🧘⛷️🏕️. he/him.
Research & code: Research director @inria
►Data, Health, & Computer science
►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social
►Sometimes does art photography
►Physics PhD
Tenure-track faculty at the Max Planck Institute for Software Systems
Previously postdoc at UW and AI2, working on Natural Language Processing
Recruiting PhD students!
🌐 https://lasharavichander.github.io/
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
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
TT Assistant Professor @ Aalborg University Copenhagen | Making the world's knowledge reliable and accessible w/ ML + NLP | Former UCPH, UMSI, AI2, IBM Research, UCSD | https://dustinbwright.com
wharton stats phd — ml theory, ml for science
prev: comp neuro, data, physics
working with Edgar Dobriban and Konrad Körding
also some sports (esp. philly! go birds)
Research Scientist @ Mosaic x Databricks. Adaptive Methods for Retrieval, Generation, NLP, AI, LLMs https://mrdrozdov.github.io/
Professor of Statistical Machine Learning at the University of Adelaide.
https://sejdino.github.io/
Always pondering startups, ML, Rust, Python, and 3D printing.
Independent ML researcher consulting on LMs + data.
Previously: Salesforce Research, MetaMind, CommonCrawl, Harvard. 🇦🇺 in SF. He/him.
Personal blog: https://state.smerity.com
Researching planning, reasoning, and RL in LLMs @ Reflection AI. Previously: Google DeepMind, UC Berkeley, MIT. I post about: AI 🤖, flowers 🌷, parenting 👶, public transit 🚆. She/her.
http://www.jesshamrick.com
Machine Learning Engineer with a background in Philosophy and AI.
I live in Amsterdam. Right now working at the Dutch Chamber of Commerce (KVK). Also founder of a boutique consulting firm.
Author of Interpretable Machine Learning and other books
Newsletter: https://mindfulmodeler.substack.com/
Website: https://christophmolnar.com/
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io
Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
Professor, CSE, UNSW Sydney. #AI #ML #UbiComp #LLM #MFM #timeseries #ST #multimodal #sensors #continuallearning #trustworthyAI ❤️ #coffee
Why am I here? Scouting for a new platform to discover and learn new papers (let’s see if it’s the one)
Machine learning, meditation, magic, muscles, mathematics, metta, meta, memes, manifolds.
Researcher in Machine Learning and Contemplative arts.
https://scholar.google.com/citations?user=KjOV76MAAAAJ&hl=en
Recsys book author https://amzn.to/3ANPx6e
PhD student at @cmurobotics.bsky.social working on efficient algorithms for interactive learning (e.g. imitation / RL / RLHF). no model is an island. prefers email. https://gokul.dev/. on the job market!
Philosopher working on AI alignment, governance and adaptation
Lab: https://mintresearch.org
Self: https://sethlazar.org
Newsletter: https://philosophyofcomputing.substack.com
AI Professor and Founding Director @ https://cair.uia.no | Chair of Technical Steering Committee @ https://www.literal-labs.ai | Book: https://tsetlinmachine.org
Prof at TU Nuremberg, PI at Helmholtz AI, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar.
Prev: TUM, Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research.
https://fortuin.github.io/
Building AIs at snowmountain.ai
I love machines, mathematics and music.
Earlier: Meta, Foresight Institute, Clear, Gupshup, IIML, IITKGP
❤️ http://isfixable.com
https://nilesh.trivedi.link/
https://x.com/nileshtrivedi
https://fosstodon.org/@nilesh
Clinical psych PhD | ML Engineer in sports analytics | he/him
My newsletter on building cool data stuff: https://buttondown.com/datadash
Personal website: mcmullarkey.github.io
Opinions are my own and don't reflect the opinions of my employer
ML, Psychology, Art, Materials Informatics, Espresso, &c.
he/him
I make sure that OpenAI et al. aren't the only people who are able to study large scale AI systems.
ML/AI researcher & former stats professor turned LLM research engineer. Author of "Build a Large Language Model From Scratch" (https://amzn.to/4fqvn0D) & reasoning (https://mng.bz/Nwr7).
Also blogging about AI research at magazine.sebastianraschka.com.
RecSys, AI, Engineering; Principal Applied Scientist @ Amazon. Led ML @ Alibaba, Lazada, Healthtech Series A. Writing @ eugeneyan.com, aiteratelabs.com.
👋 No rhythm or reason, just had too much coffee
Blogging about webdev, UX, AI, startups, and stuff https://labnotes.org
📍 Los Angeles CA
evals evals evals. https://evals.info
Current: Principal Data Scientist (retail). Former: Data Science & AI Manager, Responsible AI Architect, ML Engineer, Data Scientist, Professor.
web dev, design, LLMs, data viz, tools for thought
✨ Design @ SHV
🌸 wattenberger.com
In case bird app goes to hell. Lifelong Learner.
Skeets (lol) about AI, finance, and philosophy, views are my own.
Health AI x @Huggingface | Medical Doctor & ML Researcher. Prev: @Stanford
cyrilzakka.github.io
ML hacker
https://github.com/nateraw
Always growing, she/her, RAG builder, LLM whisperer, tech generalist
#Efficient AI
Research @MosaicML
Formerly Visiting Researcher @ Facebook Ph.D
#TXSTFOOTBALL fan
http://linktr.ee/code_star
Ph.D, stats lover/writer✍🏼, #statistics #scicomm #datascience #statstiktok 👩🏻💻 she/her
product-focused machine learning engineer. broadly curious; amazed by the effectiveness of simple ideas.
jeremyjordan.me
Machine Learning, Data Science, Math
Research Engineer at Google DeepMind
A special snowflake existing in 196883 dimensions
#ActuallyAutistic He/Him
AI @ OpenAI, Tesla, Stanford
ML & DevRel @ Giskard & Pruna | ex HF 🤗 | 👨🏽🍳 Cooking, 👨🏽💻 Coding, 🏆 Committing
Everything datasets and human feedback for AI at Hugging Face.
Prev: co-founder and CEO of Argilla (acquired by Hugging Face)
Machine Learning, Natural Language Processing, LLM, transformers, macOS, NixOS, Rust, C++, Python, Cycling.
Working on inference at Hugging Face 🤗. Open source ML 🚀.
Nearly two decades of AI/ML and product experience at companies like Apple, Netflix, Stitch Fix, and Scenset. I love breaking down cutting-edge technologies into actionable products for the technically curious.
Advocate for tech that makes humans better | Spatial Computing, Holodeck, and AI Futurist | Ex-Microsoft, Rackspace | Co-author, "The Infinite Retina."
