@deckersniklas.bsky.social
Research assistant and PhD student at the Deep Semantic Learning group, University of Kassel, Germany.
@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, ...
@ducha-aiki.bsky.social
Marrying classical CV and Deep Learning. I do things, which work, rather than being novel, but not working. http://dmytro.ai
@emollick.bsky.social
Professor at Wharton, studying AI and its implications for education, entrepreneurship, and work. Author of Co-Intelligence. Book: https://a.co/d/bC2kSj1 Substack: https://www.oneusefulthing.org/ Web: https://mgmt.wharton.upenn.edu/profile/emollick
@hamel.bsky.social
Building something new 👉 http://nbdev.fast.ai Ex Github, Airbnb, DataRobot. ML / Data Tooling & OSS
@brettlarsen.bsky.social
Research Scientist @ Databricks Mosaic Research Efficient AI + math of data science bwlarsen.github.io
@thomasfel.bsky.social
Explainability, Computer Vision, Neuro-AI.🪴 Kempner Fellow @Harvard. Prev. PhD @Brown, @Google, @GoPro. Crêpe lover. 📍 Boston | 🔗 thomasfel.me
@wgeresy.bsky.social
PhD Student at Imperial College - deep learning, representation learning, information theory, and neuromorphic computing. Writing and poetry. Piano and classical music. geresy.com
@mshahbazi.bsky.social
ML and Computer Vision at Apple Prev. PhD at ETH Zurich 📍Zurich, Switzerland 🔗 https://mohamad-shahbazi.github.io/
@roeiherz.bsky.social
Research Scientist @ IBM Research. Postdoc @ Berkeley AI. PhD @ Tel Aviv University. Working on Compositionality, Multimodal Foundation Models, and Robot Learning. Towards "Structured" Physical Intelligence. 🔗 https://roeiherz.github.io/ 📍Bay area 🇺🇲
@jkamps.bsky.social
@jtrippas.bsky.social
@mgrani.bsky.social
@ronaldseoh.bsky.social
PhD student of Computer Science at Purdue University https://ronaldseoh.github.io
@benno-stein.de
Professor for Computer Science, Bauhaus-Universität Weimar. Research on Information Retrieval, Natural Language Processing, Machine Learning, Artificial Intelligence. Member of @webis.de.
@nohtow.bsky.social
27, French CS Engineer 💻, PhD in ML 🎓🤖 — Guiding generative models for better synthetic data and building multimodal representations @LightOn
@tomaarsen.com
Sentence Transformers, SetFit & NLTK maintainer Machine Learning Engineer at 🤗 Hugging Face
@vaibhavadlakha.bsky.social
PhD candidate @Mila and @McGill Interested in interplay of knowledge and language Love being outdoors!
@parishadbehnam.bsky.social
PhD student at McGill University and Mila — Quebec AI Institute
@mariusmosbach.bsky.social
#NLP Postdoc at Mila - Quebec AI Institute & McGill University mariusmosbach.com
@srchvrs.bsky.social
Sr. Research Scientist AWS AI Labs (ph-D @LTIatCMU) working on (un)natural language processing, speaking πtorch & C++. Opinions sampled from MY OWN 100T param LM.
@crmarsh.com
Building Astral: Ruff, uv, and other high-performance Python tools, written in Rust.
@ras.bsky.social
ML Engineering @adobe Previously: @huggingface Data Visualization Enthusiast | Latent Space Explorer
@ezyang.bsky.social
Developer on PyTorch at Meta. Previously Haskeller and GHC developer.
@shagunsodhani.bsky.social
FAIR Researcher @metaai.bsky.social Previously Mila-Quebec, Microsoft Research, Adobe Research, IIT Roorkee
@alfcnz.bsky.social
Musician, math lover, cook, dancer, 🏳️🌈, and an ass prof of Computer Science at New York University
@jeffclune.com
Professor, Computer Science, University of British Columbia. CIFAR AI Chair, Vector Institute. Senior Advisor, DeepMind. ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs), open-endedness.
@jfrankle.com
Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
@pcastr.bsky.social
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦. https://psc-g.github.io/
@aaronschein.bsky.social
Assistant Professor of Statistics & Data Science at UChicago Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML Proud “golden retriever” 🦮
@quanquangu.bsky.social
Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
@cemanil.bsky.social
Research scientist at Anthropic. PhD in machine learning from the University of Toronto and Vector Institute. Prev: NVIDIA, Google
@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