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ExplainableML's profile picture. Institute for Explainable Machine Learning @HelmholtzMunich and Interpretable and Reliable Machine Learning group @TU_Muenchen

Explainable Machine Learning

@ExplainableML

Institute for Explainable Machine Learning @HelmholtzMunich and Interpretable and Reliable Machine Learning group @TU_Muenchen

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Explainable Machine Learning 님이 재게시함
kirill_bykov's profile picture.
Kirill Bykov
 @kirill_bykov
. 9. 18.

2 papers accepted at NeurIPS 2025 🎉 🔹 Manipulating Feature Visualizations with Gradient Slingshots 🔹 Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework

kirill_bykov's tweet image. 2 papers accepted at NeurIPS 2025 🎉 🔹 Manipulating Feature Visualizations with Gradient Slingshots 🔹 Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
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Explainable Machine Learning 님이 재게시함
LucaEyring's profile picture.
Luca Eyring
@LucaEyring
. 8. 15.

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.

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Explainable Machine Learning 님이 재게시함
confusezius's profile picture.
Karsten Roth
 @confusezius
. 8. 4.

💫 After four PhD years on all things multimodal, pre- and post-training, I’m super excited for a new research chapter @GoogleDeepMind 🇨🇭! Biggest thanks to @zeynepakata and @OriolVinyalsML for all the guidance, support, and incredibly eventful and defining research years ♥️!

confusezius's tweet image. 💫 After four PhD years on all things multimodal, pre- and post-training, I’m super excited for a new research chapter @GoogleDeepMind 🇨🇭! Biggest thanks to @zeynepakata and @OriolVinyalsML for all the guidance, support, and incredibly eventful and defining research years ♥️!
confusezius's tweet image. 💫 After four PhD years on all things multimodal, pre- and post-training, I’m super excited for a new research chapter @GoogleDeepMind 🇨🇭! Biggest thanks to @zeynepakata and @OriolVinyalsML for all the guidance, support, and incredibly eventful and defining research years ♥️!
confusezius's tweet image. 💫 After four PhD years on all things multimodal, pre- and post-training, I’m super excited for a new research chapter @GoogleDeepMind 🇨🇭! Biggest thanks to @zeynepakata and @OriolVinyalsML for all the guidance, support, and incredibly eventful and defining research years ♥️!
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ylecun's profile picture. Professor at NYU. Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.

Yann LeCun

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Michael Black

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SchmidhuberAI's profile picture. Invented principles of meta-learning (1987), GANs (1990), Transformers (1991), very deep learning (1991), etc. Our AI is used many billions of times every day.

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Kirill Bykov

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Sanghwan Kim

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Computer Graphics Tübingen

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A. Sophia Koepke

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Razieh Rezaei

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Elisa Nguyen

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mreyesag's profile picture. Hi, I am an electrical engineer with specialisation (Ph.D.) in medical image analysis. I'm interested in how computer technologies can help medicine and society

Mauricio Reyes

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mormontre's profile picture. Research Scientist at IBM Europe

Mara Graziani

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Princeton Visual AI lab

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MerceaOtniel's profile picture. Machine Learning Researcher @Apple | PhD @MPI_IS,@uni_tue | MSc @EdinburghUni | Ex. @GoogleDeepMind,@GoogleAI,@TU_Muenchen | Multimodal and efficient learning

Otniel-Bogdan Mercea

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hummelth_'s profile picture. PhD student @uni_tue within #IMPRSIS | Interested in multimodal learning and video understanding | Prev. research intern @SonyAI_global🇨🇭

Thomas Hummel

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Michael Kirchhof

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Jeff Dean

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Michael Niemeyer

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Belongie Lab

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