On Dec 2, I’ll present our Nature Communications paper “On convex decision regions in deep network representations” at the #ELLIS UnConference co-located with #EurIPS.
We show that human & machine learning may share the same geometry — convexity.
👉 eurips.cc/ellis
@ellis.eu @euripsconf.bsky.social
24.10.2025 08:16 — 👍 5 🔁 1 💬 0 📌 0
🧠 New paper alert!
Our study in Nature Communications shows that both human & machine learning may rely on the same geometry: convexity.
It could be a key to shared concept formation.
👉 www.nature.com/articles/s41...
#AI #CognitiveScience #Explainability
02.07.2025 09:10 — 👍 5 🔁 1 💬 0 📌 0
🎥 The recording of the 2nd ELLISxUniReps Speaker Series session with @mtoneva.bsky.social and @lenkatetkova.bsky.social is now available at: youtu.be/qXBT_-w3Mfs
24.06.2025 13:43 — 👍 4 🔁 2 💬 1 📌 1
🎉 Get ready for our second @ellis.eu × UniReps Speaker Series session! 🔥
🗓️ When: June 20, 2025 – 16:00 CET
📍 Where: ethz.zoom.us/j/66426188160
🎙️ Speakers: Keynote by @mtoneva.bsky.social & Flash Talk by @lenkatetkova.bsky.social
👉 Join our Google group: groups.google.com/u/2/g/ellis-...
11.06.2025 11:48 — 👍 7 🔁 3 💬 0 📌 3
Invited Speakers for the XAI4CV workshop at CVPR 2025 — Mihaela van der Schaar, Tsui-Wei (Lily) Weng, Klaus-Robert Müller, Junfeng He, Chinasa T Okolo
We are thrilled to welcome an incredible lineup of invited speakers to the 4th Explainable AI for Computer Vision (XAI4CV) Workshop, held as part of #CVPR2025 — which kicks off next week, from Wednesday, June 11th to Sunday, June 15th in Nashville, TN!
05.06.2025 12:58 — 👍 11 🔁 6 💬 1 📌 0
CS PhD student at UT Austin in #NLP
Interested in language, reasoning, semantics and cognitive science. One day we'll have more efficient, interpretable and robust models!
Other interests: math, philosophy, cinema
https://www.juandiego-rodriguez.com/
NLDL is the northernmost annual science conference within AI and deep learning 🤖❄️ #nldl #nldl2026
Deep Learning Research Scientist at Technical University of Berlin
On the faculty job market!
Doing ML/DL with small data - Postdoc @PrincetonU
Making mining sustainable - VP Research @Stratum.AI
Trying to re-democratize AI
Proud dad, Professor of Computational Cognitive Neuroscience, author of The Decoding Toolbox, founder of http://things-initiative.org
our lab 👉 https://hebartlab.com
AI @ OpenAI, Tesla, Stanford
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Tom Griffiths' Computational Cognitive Science Lab at Princeton. Studying the computational problems human minds have to solve.
Senior research scientist at Los Alamos National Laboratory. Former UCL, UTexas, Alan Turing Institute, Ellis EU. CogSci, AI, Comp Neuro, AI for scientific discovery https://bradlove.org
Where the future begins. 🚀🔬 One of the world’s leading universities for technology & natural sciences. Posts in both English and German.
www.ethz.ch
International Conference on Learning Representations https://iclr.cc/
We're an Al safety and research company that builds reliable, interpretable, and steerable Al systems. Talk to our Al assistant Claude at Claude.ai.
Associate professor at IT University of Copenhagen: NLP, language models, interpretability, AI & society. Co-editor-in-chief of ACL Rolling Review. #NLProc #NLP
Explainability, Computer Vision, Neuro-AI.🪴 Kempner Fellow @Harvard.
Prev. PhD @Brown, @Google, @GoPro. Crêpe lover.
📍 Boston | 🔗 thomasfel.me
We advance science and technology to benefit humanity.
http://microsoft.com/research
PhD student in Interpretable ML @UMI_Lab_AI, @bifoldberlin, @TUBerlin
PhD @ ML Group TU Berlin, BIFOLD, HFA, @ellis.eu | BSc & MSc @ethzurich.bsky.social
PhD Candidate in Interpretability @FraunhoferHHI | 📍Berlin, Germany
dilyabareeva.github.io