Attending the "Flower Summit" on Federated learning, "Roseman Labs day" on SMPC, and "IEEE SaTML" on trustworthy AI. All in the next weeks. Please reach out to talk about related topics!
(Self-promo: I'm still looking for a 3-month internship this year, preferably related to above topics)
25.03.2025 11:16 — 👍 0 🔁 0 💬 0 📌 0
All posters and locations for papers related to differential privacy at NeurIPS. Please let me know if I forgot any, or you would like to discuss
github.com/RobRomijnder...
09.12.2024 11:00 — 👍 2 🔁 0 💬 0 📌 0
IEEE Conference on Secure and Trustworthy Machine Learning
March 2026 (Munich) • #SaTML2026
https://satml.org/
Combining Bayesian and Neural approaches for Structured Data.
ComBayNS workshop @ IJCNN 2025 Conference, Rome, June 30-July 2 2025.
PhD student at the University of Amsterdam | ex-intern at Microsoft Research and Samsung AI Research | Cohere For AI Community Researcher
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
Professor at EPFL. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.
machine learning researcher @ Apple machine learning research
Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute.
www.aimm.epfl.ch
Post Doc researcher at the University of Pisa. Previously PhD student @ellis.eu.
Associate Professor & Co-Founder - Dynamical Deep Learning
PhD Candidate Causal Machine Learning @AMLab @Adyen
Assistant professor at the University of Amsterdam. Previously at Microsoft Research, Partnership on AI.
PhD candidate @amlab.bsky.social @ellis.eu
Probabilistic Machine Learning | Sequence Models
Assistant Professor at Mila and UdeM
https://necludov.github.io/
🇪🇺 ELLIS PhD @ University of Amsterdam
🤖 Vision-Language, Video Learning, SSL
🏡 www.mdorkenwald.com
Postdoc in machine learning with Francis Bach &
@GaelVaroquaux: neural networks, tabular data, uncertainty, active learning, atomistic ML, learning theory.
https://dholzmueller.github.io
Faculty at CWI & ELLIS Amsterdam https://trl-lab.github.io. Prev at UC Berkeley and the University of Amsterdam. Research on AI and tabular data to democratize insights from structured data.
https://www.madelonhulsebos.com
Postdoc @ RWTH Aachen & Eindhoven University of Technology | Computer Vision
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian.
Anon feedback: https://admonymous.co/giffmana
📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
