Explainable Machine Learning
@ExplainableML
Institute for Explainable Machine Learning @HelmholtzMunich and Interpretable and Reliable Machine Learning group @TU_Muenchen
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Honored to receive one of the Google PhD Fellowships 2025 in ML Foundations for my research on "The Role of the Source Distribution in Generative Modeling: Beyond Fixed Gaussian Noise" :) Grateful to @zeynepakata, Alexey, @TU_Muenchen, @Googleorg, and all my collaborators!
🎉 We're excited to announce the 2025 Google PhD Fellows! @GoogleOrg is providing over $10 million to support 255 PhD students across 35 countries, fostering the next generation of research talent to strengthen the global scientific landscape. Read more: goo.gle/43wJWw8
We are proud of our PhD researcher Luca Eyring (@LucaEyring ) for his Google PhD Fellowship in ML Foundations. Congratulations!🥳
🎉 We're excited to announce the 2025 Google PhD Fellows! @GoogleOrg is providing over $10 million to support 255 PhD students across 35 countries, fostering the next generation of research talent to strengthen the global scientific landscape. Read more: goo.gle/43wJWw8
🎓PhD application season @ExplainableML is back! This year, we’re hiring ONLY through the ELLIS Program and the MCML Program: two fantastic communities shaping the future of AI and ML. 📌Please don’t forget to denote Prof. Dr. Zeynep Akata as one of your preferred supervisors!…
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Zeynep Akata
@zeynepakata -
ELLIS
@ELLISforEurope -
AI Conference DL Countdown
@DlCountdown -
Mihaela van der Schaar
@MihaelaVDS -
Michael Black
@Michael_J_Black -
Bernhard Schölkopf
@bschoelkopf -
Been Kim
@_beenkim -
Cambridge MLG
@CambridgeMLG -
Yarin
@yaringal -
UvA AMLab
@AmlabUva -
Oana-Maria Camburu
@oanacamb -
Accepted papers at TMLR
@TmlrPub -
Georgios Pavlakos
@geopavlakos -
Federico Tombari
@fedassa -
Christoph Molnar 🦋 christophmolnar.bsky.social
@ChristophMolnar
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