Mateusz Pach
ELLIS PhD Student @ TU Munich and Helmholtz AI
🔍⚙️ Interpretability
🖼️📚 Multimodal ML
✨🎨 Generative AI
@dlcountdown.bsky.social
Bot. I daily tweet progress towards machine learning and computer vision conference deadlines. Maintained by @chriswolfvision.bsky.social
@kristinwitte.bsky.social
PhD Student in Computational Psychiatry with @ericschulz.bsky.social at Helmholtz Munich exploring how anxious and depressed people explore (she/her)
@srishtiy.bsky.social
ELLIS PhD Fellow @belongielab.org | @aicentre.dk | University of Copenhagen | @amsterdamnlp.bsky.social | @ellis.eu Currently visiting @cs.ubc.ca Multi-modal ML | Alignment | Culture | News + Narratives | AI & Society Web: https://www.srishti.dev/
@michalzajac-ml.bsky.social
Interested in machine learning and AI safety. Research scientist at Snowflake; previously at FAR.AI, Google Brain, UofT & KU Leuven.
@sukrutrao.bsky.social
PhD Student at the Max Planck Institute for Informatics @cvml.mpi-inf.mpg.de @maxplanck.de | Explainable AI, Computer Vision, Neuroexplicit Models Web: sukrutrao.github.io
@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
@elifakata.bsky.social
PhD student in machine learning & cognitive science in Munich & Tübingen
@yann-lecun.bsky.social
Professor a NYU; Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate. http://yann.lecun.com
@nicolasdufour.bsky.social
PhD student at IMAGINE (ENPC) and GeoVic (Ecole Polytechnique). Working on image generation. http://nicolas-dufour.github.io
@munichcenterml.bsky.social
The MCML is a joint research initiative of LMU München and TU München. It is institutionally funded by the Federal Ministry of Education and Research and the Free State of Bavaria.
@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
@matthiasfeurer.bsky.social
Thomas Bayes Fellow at @ LMU Munich @munichcenterml.bsky.social @slds-lmu.bsky.social . Working on #AutoML, #HPO, #TabularData #OpenML
@davidruegamer.bsky.social
Associate Prof @ LMU Munich PI @ Munich Center for Machine Learning Ellis Member Associate Fellow @ relAI ----- https://davidruegamer.github.io/ | https://www.muniq.ai/ ----- BNNs, UQ in DL, DL theory (Overparam, Implicit Bias, Optim), Sparsity
@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
@paboustani.bsky.social
MCML PhD student @ LMU Munich Working on causal & fair ML Interested in social science and the book of why He/him
@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
@rickmer.bsky.social
PhD Student @ LMU Munich Munich Center for Machine Learning (MCML)
@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
@yaweili-sandylaker.bsky.social
PhD candidate at LMU Munich | Munich Center for Machine Learning (MCML) | https://sandylaker.github.io | Open to work.
@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
@qbouniot.bsky.social
Post-Doctoral Researcher at @eml-munich.bsky.social, in @www.helmholtz-munich.de and @tumuenchen.bsky.social. Optimal Transport, Explainability, Robustness, Deep Representation Learning, Computer Vision. https://qbouniot.github.io/
@jumelet.bsky.social
Postdoc @rug.nl with Arianna Bisazza. Interested in NLP, interpretability, syntax, language acquisition and typology.
@chriswolfvision.bsky.social
Principal Scientist at Naver Labs Europe, Lead of Spatial AI team. AI for Robotics, Computer Vision, Machine Learning. Austrian in France. https://chriswolfvision.github.io/www/
@joannasliwa.bsky.social
ELLIS & IMPRS-IS PhD student at University of Tübingen Working on Bayesian Deep Learning in Philipp Hennig's group Website: https://joannasliwa.github.io
@lukasthede.bsky.social
IMPRS-IS PhD Student with Zeynep Akata and Matthias Bethge at the University of Tübingen and Helmholtz Munich, working on continually adapting foundation models.
@haileyjoren.bsky.social
PhD Student @ UC San Diego Researching reliable, interpretable, and human-aligned ML/AI
@zootime.bsky.social
I work with explainability AI in a german research facility
@juffi-jku.bsky.social
Researcher Machine Learning & Data Mining, Prof. Computational Data Analytics @jkulinz.bsky.social, Austria.
@juliusad.bsky.social
ML researcher, building interpretable models at Guide Labs (guidelabs.bsky.social).
@elglassman.bsky.social
Assistant Professor @ Harvard SEAS specializing in human-computer and human-AI interaction. Also interested in visualization, digital humanities, urban design.
@chhaviyadav.bsky.social
Machine Learning Researcher | PhD Candidate @ucsd_cse | @trustworthy_ml chhaviyadav.org
@lesiasemenova.bsky.social
Postdoctoral Researcher at Microsoft Research • Incoming Faculty at Rutgers CS • Trustworthy AI • Interpretable ML • https://lesiasemenova.github.io/
@csinva.bsky.social
Senior researcher at Microsoft Research. Seeking good explanations with machine learning https://csinva.io/
@tmiller-uq.bsky.social
Professor in Artificial Intelligence, The University of Queensland, Australia Human-Centred AI, Decision support, Human-agent interaction, Explainable AI https://uqtmiller.github.io
@umangsbhatt.bsky.social
Incoming Assistant Professor @ University of Cambridge. Responsible AI. Human-AI Collaboration. Interactive Evaluation. umangsbhatt.github.io
@stefanherzog.bsky.social
Senior Researcher @arc-mpib.bsky.social @Max Planck Hum. Developm. @mpib-berlin.bsky.social, group leader #BOOSTING decisions: cognitive science, hybrid collective intelligence, AI, behavioral public policy, misinfo; stefanherzog.org scienceofboosting.org
@ryanchankh.bsky.social
Machine Learning PhD at UPenn. Interested in the theory and practice of interpretable machine learning. ML Intern@Apple.
@pedroribeiro.bsky.social
Data Scientist @ Mass General, Beth Israel, Broad | Clinical Research | Automated Interpretable Machine Learning, Evolutionary Algorithms | UPenn MSE Bioengineering, Oberlin BA Computer Science
@lowd.bsky.social
CS Prof at the University of Oregon, studying adversarial machine learning, data poisoning, interpretable AI, probabilistic and relational models, and more. Avid unicyclist and occasional singer-songwriter. He/him
@gully.bsky.social
interpretable machine learning for atmospheric and astronomical data analysis, near-IR spectra, climate tech, stars & planets; bikes, Austin, diving off bridges into the ocean.
@harmankaur.bsky.social
Assistant professor at University of Minnesota CS. Human-centered AI, interpretable ML, hybrid intelligence systems.