Fiona K. Ewald
PhD Student @ LMU Munich
Munich Center for Machine Learning (MCML)
Research in Interpretable ML / Explainable AI
@angusjnic.bsky.social
DPhil student at University of Oxford. Researcher in interpretable AI for medical imaging. Supervised by Alison Noble and Yarin Gal.
@ludwig-bothmann.bsky.social
PostDoc @ LMU Munich Group Leader CausalFairML Munich Center for Machine Learning (MCML)
@jurodemann.bsky.social
http://www.julian-rodemann.de | PhD student in statistics @LMU_Muenchen | currently @HarvardStats
@xai-research.bsky.social
Explainable/Interpretable AI researchers and enthusiasts - DM to join the XAI Slack! Blue Sky and Slack maintained by Nick Kroeger
@slds-lmu.bsky.social
https://www.slds.stat.uni-muenchen.de
@assenmacher.bsky.social
Postdoc | #NLProc researcher | @slds-lmu.bsky.social | @berd-nfdi.bsky.social
@giuseppe88.bsky.social
Senior Lecturer and Researcher @LMU_Muenchen working on #ExplainableAI / #interpretableML and #OpenML
@azadef.bsky.social
Postdoc @ TU Munich Computer Vision, Scene Graphs, Generative Models https://www.cs.cit.tum.de/en/camp/members/azade-farshad/
@compvis.bsky.social
Computer Vision and Learning research group @ LMU Munich, headed by Björn Ommer. Generative Vision (Stable Diffusion, VQGAN) & Representation Learning 🌐 https://ommer-lab.com
@dcremers.bsky.social
Professor of Computer Vision and AI at TU Munich, Director of the Munich Center for Machine Learning mcml.ai and of ELLIS Munich ellismunich.ai cvg.cit.tum.de
@barbaraplank.bsky.social
Prof, Chair for AI & Computational Linguistics, Head of MaiNLP lab @mainlp.bsky.social, LMU Munich Co-director CIS @cislmu.bsky.social Visiting Prof ITU Copenhagen @itu.dk ELLIS Fellow @ellis.eu Vice-President ACL PI MCML @munichcenterml.bsky.social
@askoepke.bsky.social
Junior research group leader at TUM | University of Tübingen. Previously at VGG (Oxford), BAIR (Berkeley). Interested in multi-modal learning. 🔗 https://akoepke.github.io/
@alenabuyx.bsky.social
Professor of Ethics in Medicine and Health Technologies @tumuenchen.bsky.social Former chair of Deutscher Ethikrat New book »Leben & Sterben« 26.03. @s.fischer https://shorturl.at/DFSNo
@ja-schnabel.bsky.social
Prof HelmholtzMunich TUM King’s XRnostics #MICCAI2024 ML in Biomedical Imaging - posts my own linkedin.com/in/juliaschnabel
@danielrueckert.bsky.social
Prof at TUM and Imperial College London. Doing research on AI in healthcare and medicine
@boulesteixlaure.bsky.social
Statistician and metascientist. Professor of biometrics at LMU Munich Medical and Mathematical Faculties, committed to open science, member of the Munich Center of Machine Learning. Opinions are mine.
@adai.bsky.social
Associate Professor, 3DAI Lab @ TU Munich https://www.3dunderstanding.org/
@niessner.bsky.social
Professor for Visual Computing & Artificial Intelligence @TU Munich, Co-Founder @synthesiaIO https://niessnerlab.org/publications.html
@fabiantheis.bsky.social
Computational biologist @HelmholtzMunich, prof @TU_Muenchen & associate PI @sangerinstitute. Dad of 4 and mountain lover. Department news, see @CompHealthMuc
@florian-eichin.com
PhD candidate at LMU Munich working on interpretability, language representations and attribution methods. Also researching narratives on Twitter at Trier University. Strong opinions on coffee and tea ☕ https://florian-eichin.com
@mhedderich.bsky.social
Research group leader at LMU Munich and MCML on ML, NLP & HCI. Also experimenting with lemonade that glows in the dark 🥤 (he/him)
@malteschierholz.bsky.social
@mateuszpach.bsky.social
ELLIS PhD Student @ TU Munich and Helmholtz AI 🔍⚙️ Interpretability 🖼️📚 Multimodal ML ✨🎨 Generative AI
@iamjulianlange.bsky.social
PhD student in Statistics @LMU Munich & MCML, interested in statistics, machine learning, reproducibility, and meta-science
@jessica-bader.bsky.social
PhD Student with Zeynep Akata at TUM / @www.helmholtz-munich.de, and part of @munichcenterml.bsky.social
@martinmenten.bsky.social
Emmy Noether Research Group Leader at the Technical University of Munich working on machine learning for medical imaging and ophthalmology. https://martinmenten.github.io
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@kayoyin.bsky.social
PhD student at UC Berkeley. NLP for signed languages and LLM interpretability. kayoyin.github.io 🏂🎹🚵♀️🥋
@nsaphra.bsky.social
Waiting on a robot body. All opinions are universal and held by both employers and family. Current fellow at Harvard Kempner, incoming faculty at Boston University, recruiting students! ML/NLP/they/she.
@jaom7.bsky.social
Associate Professor @UAntwerp, sqIRL/IDLab, imec. #RepresentationLearning, #Model #Interpretability & #Explainability A guy who plays with toy bricks, enjoys research and gaming. Opinions are my own idlab.uantwerpen.be/~joramasmogrovejo
@gsarti.com
PhD Student at @gronlp.bsky.social 🐮, core dev @inseq.org. Interpretability ∩ HCI ∩ #NLProc. gsarti.com
@kirillbykov.bsky.social
PhD student in Interpretable ML @UMI_Lab_AI, @bifoldberlin, @TUBerlin
@nfel.bsky.social
Post-doctoral Researcher at BIFOLD / TU Berlin interested in interpretability and analysis of language models. Guest researcher at DFKI Berlin. https://nfelnlp.github.io/
@wzuidema.bsky.social
Associate Professor of Natural Language Processing & Explainable AI, University of Amsterdam, ILLC
@zeynepakata.bsky.social
Liesel Beckmann Distinguished Professor of Computer Science at Technical University of Munich and Director of the Institute for Explainable ML at Helmholtz Munich
@zhuzining.bsky.social
Asst Prof @ Stevens. Working on NLP, Explainable, Safe and Trustworthy AI. https://ziningzhu.github.io
@jasmijn.uk
Senior Research Scientist at Google DeepMind. Interested in (equitable) language technology, gender, interpretability, NLP. Views my own. She/her. 🌐 https://jasmijn.uk
@colah.bsky.social
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
@andreasmadsen.bsky.social
Ph.D. in NLP Interpretability from Mila. Previously: independent researcher, freelancer in ML, and Node.js core developer.
@michaelwhanna.bsky.social
PhD Student at the ILLC / UvA doing work at the intersection of (mechanistic) interpretability and cognitive science. hannamw.github.io
@qiaw99.bsky.social
First-year PhD student at XplaiNLP group @TU Berlin: interpretability & explainability Website: https://qiaw99.github.io
@ddjohnson.bsky.social
PhD student at Vector Institute / University of Toronto. Building tools to study neural nets and find out what they know. He/him. www.danieldjohnson.com