I’ll be at NeurIPS next week –happy to connect! Hit me up if you’d like to meet up and chat :)
(tabular deep learning; in-context learning; SSL; AI in EU; politics; where to get good coffee/food; your favourite Parks and Rec moment; …)
02.12.2024 07:45 — 👍 5 🔁 1 💬 0 📌 0
Haha, yes 😅
28.11.2024 13:39 — 👍 1 🔁 0 💬 0 📌 0
Would be interesting to what extent that is actually the case. Looking at overall top-tier publishing, things are still growing, but not sure how to get those numbers from the big private and public labs without having to scrape all the lab leads profiles🤔
(figure: github.com/lixin4ever/C...)
28.11.2024 13:23 — 👍 1 🔁 0 💬 1 📌 0
I mean, we all know who the only true gold standard for AI publications is, and by that measure it’s not looking good!
28.11.2024 10:31 — 👍 9 🔁 1 💬 3 📌 0
Let me surface this again now that this place is more lively: Come join us at SAP in the US or Germany for a PhD Summer Internship in 2025 in Foundation Models on Structured Data, Table Representation Learning, LLMs and Knowledge Graphs! #MLInternships
26.11.2024 20:51 — 👍 9 🔁 3 💬 0 📌 0
Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research
https://jmlr.org/tmlr/
Die Carl-Zeiss-Stiftung ist eine wissenschaftsfördernde Stiftung. Wir fördern Forschung und Lehre in den MINT-Disziplinen Mathematik, Informatik, Naturwissenschaft und Technik.
Impressum: https://www.carl-zeiss-stiftung.de/impressum
https://ellis-jena.eu is developing+applying #AI #ML in #earth system, #climate & #environmental research.
Partner: @uni-jena.de, https://bgc-jena.mpg.de/en, @dlr-spaceagency.bsky.social, @carlzeissstiftung.bsky.social, https://aiforgood.itu.int
Assistant Professor in NLP (Fairness, Interpretability and lately interested in Political Science) at the University of Copenhagen ✨
Before: PostDoc in NLP at Uni of CPH, PhD student in ML at TU Berlin
Prof at TU Berlin and BIFOLD; research on ML systems and data management.
mboehm7.github.io
PhD student in Interpretable Machine Learning at @tuberlin.bsky.social & @bifold.berlin
https://web.ml.tu-berlin.de/author/laura-kopf/
Professor of Machine Learning at TUBerlin, group leader at PTB. Lab account: @qailabs.bsky.social.
@sparsity@mastodon.social
tu.berlin/uniml/about/head-of-group
ML Ph.D. Candidate @tuberlin.bsky.social and @bifold.berlin | Explainable AI, Interpretability, Efficient Machine Learning
farnoushrj.github.io
PhD Student @TU Berlin @BIFOLD working on ML applications for chemistry
Groundbreaking foundational research in Big Data Management, Machine Learning, and their intersection. #AI #Research
www.bifold.berlin
📰News: www.bifold.berlin/news-events/news
🔑Data Privacy: www.bifold.berlin/data-privacy
Foxy features every day!
All credit goes to real owner.
Researcher & faculty member @DPKM dedicated to the field of AI, with the focus on knowledge technologies (knowledge graphs, semweb, RAG) & their use in e-gov, skills matching, research ecosystem, digital humanities and education. Partner @km-a.bsky.social.
Professor a NYU; Chief AI Scientist at Meta.
Researcher in AI, Machine Learning, Robotics, etc.
ACM Turing Award Laureate.
http://yann.lecun.com
Building tools for AI datasets. 😽
Looking in AI datasets. 🙀
Sharing clean open AI datasets. 😻
at https://bsky.app/profile/hf.co
Exploring the future of journalism
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Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila.
A.M. Turing Award Recipient and most-cited AI researcher.
https://lawzero.org/en
https://yoshuabengio.org/profile/
Post-doc @ VU Amsterdam, prev University of Edinburgh.
Neurosymbolic Machine Learning, Generative Models, commonsense reasoning
https://www.emilevankrieken.com/
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
