GitHub - dilyabareeva/quanda: A toolkit for quantitative evaluation of data attribution methods.
A toolkit for quantitative evaluation of data attribution methods. - dilyabareeva/quanda
Sadly, I wasn’t able to make it to NeurIPS this year. For anyone attending, check out our quanda poster at the ATTRIB workshop tomorrow (Saturday) from 3 to 4:30 pm, presented by Galip Ümit Yolcu and Anna Hedström!
GitHub: github.com/dilyabareeva...
Paper: arxiv.org/abs/2410.07158
13.12.2024 08:01 — 👍 6 🔁 0 💬 0 📌 0
PhD student explainable AI @ ML Group TU Berlin, BIFOLD
PhD student at TU Berlin & @bifold.berlin
I am interested in Machine Learning, Explainable AI (XAI), and Optimal Transport
PhD Student @ ML Group TU Berlin, BIFOLD
interests: software, neuroscience, causality, philosophy | ex: salk institute, u of washington, MIT | djbutler.github.io
Head of XAI research at Fraunhofer HHI
Google Scholar: https://scholar.google.de/citations?user=wpLQuroAAAAJ
Research Scientist at Apple Machine Learning Research. Previously ServiceNow and Element AI in Montréal.
I run AI Plans, an AI Safety lab focused on solving AI Alignment before 2029.
For several weeks I used a stone for a pillow.
I once spent a quarter of my paycheck on cheese.
Ping me! DMs not working atm due to totalitarian UK law :(
SurpassAI
PhD student @ Fraunhofer HHI. I work on interpretability in NLP
Postdoc at Boston University. Posts do not represent the views of my employer---only my own.
https://jerrylin96.github.io/
Amateur Writer & Ethical AI Advocate
Professional Marketing & Event Coordinator
Avid Baker, Homesteader & Forager 🌼
DPhil student at University of Oxford. Researcher in interpretable AI for medical imaging. Supervised by Alison Noble and Yarin Gal.
PhD Student | Works on Explainable AI | https://donatellagenovese.github.io/
PhD student in Machine Learning @Warsaw University of Technology and @IDEAS NCBR
http://www.julian-rodemann.de | PhD student in statistics @LMU_Muenchen | currently @HarvardStats
Phd Student - Explainable AI for Mobile Networks
PhD student at the University of Cape Town, working on text generation for low-resource, morphologically complex languages.
https://francois-meyer.github.io/
Cape Town, South Africa
Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU
https://emerge-lab.github.io
https://www.admonymous.co/eugenevinitsky
