@arikreuter.bsky.social
Max Planck Institute for Intelligent Systems https://arikreuter.github.io/
@trl-research.bsky.social
Updates on community and events, such as the TRL workshop at NeurIPS 2024 and ACL 2025. Info: https://table-representation-learning.github.io/
@madelonhulsebos.bsky.social
Faculty at CWI & ELLIS Amsterdam https://trl-lab.github.io. Previously at UC Berkeley and the University of Amsterdam. Research on neural models for tabular data; table representation learning 💫. https://www.madelonhulsebos.com
@tj-klein.bsky.social
Principal Researcher @ SAP CTO Office, ELLIS member, prev: postdoc @ Harvard, CSAIL-MIT. #AI #NLP #CV #TableRepresentationLearning
@puhsu.bsky.social
ML Researcher at research.yandex.com | Working on DL for Tabular Data
@hoffart.ai
CTO, AI at SAP - #foundationmodel #linkedbusinessdata #knowledgegraph #nlp #ai - www.hoffart.ai
@benburtenshaw.bsky.social
Building tools for AI datasets. 😽 Looking in AI datasets. 🙀 Sharing clean open AI datasets. 😻 at https://bsky.app/profile/hf.co
@howard.fm
https://Answer.AI & https://fast.ai founding CEO; previous: hon professor @ UQ; leader of masks4all; founding CEO Enlitic; founding president Kaggle; various other stuff…
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@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
@sarahooker.bsky.social
I lead Cohere For AI. Formerly Research Google Brain. ML Efficiency, LLMs, @trustworthy_ml.
@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.
@dholzmueller.bsky.social
Postdoc in machine learning with Francis Bach & @GaelVaroquaux: neural networks, tabular data, uncertainty, active learning, atomistic ML, learning theory. https://dholzmueller.github.io
@lennartpurucker.bsky.social
PhD student sup. by Frank Hutter; researching automated machine learning and foundation models for (small) tabular data! Website: https://ml.informatik.uni-freiburg.de/profile/purucker/
@maxschambach.bsky.social
Senior AI Scientist @SAP working on tabular foundation models. PhD @KIT and former physics graduate. Views are my own. maxschambach.github.io
@soumithchintala.bsky.social
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
@girving.bsky.social
Chief Scientist at the UK AI Security Institute (AISI). Previously DeepMind, OpenAI, Google Brain, etc.
@colah.bsky.social
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
@lucylw.bsky.social
Asst Prof @uwischool.bsky.social; #NLP #healthinformatics #accessibility #scholcomm 🚴🏔️🍄❄️⛷️🧶⚫️⚪️📚🍸in Seattle; llwang.net; she/her
@kylelo.bsky.social
#nlp #ml #hci research scientist @ai2.bsky.social, Co-lead of Data for OLMo w/ @soldaini.net, statistics @uw, open science, tabletop, seattle, he/him,🧋 kyleclo.com
@soldaini.net
I like tokens! Lead for OLMo data at @ai2.bsky.social (Dolma 🍇) w @kylelo.bsky.social. Open source is fun 🤖☕️🍕🏳️🌈 Opinions are sampled from my own stochastic parrot more at https://soldaini.net
@mariaa.bsky.social
Postdoc at the Pioneer Centre for AI in Copenhagen, soon-to-be Assistant Professor of Computer Science at CU Boulder 👩💻 NLP, cultural analytics, online communities, narratives, healthcare 🌐 https://maria-antoniak.github.io
@chrmanning.bsky.social
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/