Explainable Machine Learning
@ExplainableML
Institute for Explainable Machine Learning @HelmholtzMunich and Interpretable and Reliable Machine Learning group @TU_Muenchen
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Excited to be in San Diego at #NeurIPS2025 this week. We'll be presenting Noise Hypernetworks at Hall C,D,E #3605 Thu 4 Dec 11am! If you're interested in Diffusion/Flow Matching or Reward Alignment, I'd love to chat! Feel free to DM me if you'd like to connect.
Reward hacking is challenging when fine-tuning few-step Diffusion models. Direct fine-tuning on rewards can create artifacts that game metrics while degrading visual quality. We propose Noise Hypernetworks as a theoretically grounded solution, inspired by test-time optimization.
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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