PhD Student in the STAI group at the University of Tübingen and IMPRS-IS | Volunteering at KI macht Schule and Viva con Agua
elisanguyen.github.io
prev. intern at Vector Institute, MSR DL
phd student in computational neuroscience, interested in geometric principles of biological & artificial learning || looking for postdoc positions
Incoming Assistant Professor in Statistical Machine Learning @ NTU Singapore 🇸🇬 Interested in Uncertainty-aware ML, Explainable ML, and preference learning.
Currently Postdoc @CISPA, previously at @OXCSML, @Amazon, @MPI_IS
https://chau999.github.io/
The CISPA Helmholtz Center for Information Security is a German national Big Science Institution within the Helmholtz Association. We research information security in all its facets.
https://cispa.de/en/data-privacy-policy-social-media#Netiquette
machine learning research
Professor in Scalable Trustworthy AI @ University of Tübingen | Advisor at Parameter Lab & ResearchTrend.AI
https://seongjoonoh.com | https://scalabletrustworthyai.github.io/ | https://researchtrend.ai/
OpenAI and MIT faculty (on leave)
Machine Learning | Stein Fellow @ Stanford Stats (current) | Assistant Prof @ CMU (incoming) | PhD @ MIT (prev)
https://andrewilyas.com
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.
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
•PhD student @ https://www.ucl.ac.uk/gatsby 🧠💻
•Masters Theoretical Physics UoM|UCLA🪐
•Intern @zuckermanbrain.bsky.social|
@SapienzaRoma | @CERN | @EPFL
https://linktr.ee/Clementine_Domine
Postdoctoral researcher at the computer vision group TUM
@tumuenchen.bsky.social
Assistant professor, University of Bonn and Lamarr Institute, Geometry on Machine Learning group
Chapman-Schmidt Fellow at I-X, Imperial College London
PhD student at Imperial College London.
Visiting Researcher at Harvard University
Multimodal foundation models for precision medicine
LOGML (London Geometry and Machine Learning) aims to bring together mathematicians and computer scientists to collaborate on a variety of problems at the intersection of geometry and machine learning.
MLxBio @vant_ai. Previously, research @Twitter and FabulaAI (acquired by Twitter). PhD in Graph ML at @imperialcollege and @Cambridge_Uni alumnus
Machine Learning at CuspAI - materials discovery for carbon capture
Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research
https://jmlr.org/tmlr/
