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### Spring semester
1010

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* 24.02 - Introduction to Sparse Autoencoders (ReLU, TopK, Anthropic Works) - (Vladimir)
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* 03.03 - New and Related Work in SAE - (Vladimir)
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* 10.03 - New and Related Work in SAE (additional time) - (Vladimir)
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* 17.03 - Interpreting CLIP with Hierarchical Sparse Autoencoders - Vladimir Zaigrajew
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* 24.03 - INTRO + PIP-Net: Patch-based intuitive prototypes for interpretable image classification (CVPR 2023) - (advising HB)
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* 31.03 - Interpretability benchmark for evaluating spatial misalignment of prototypical parts explanations (AAAI 2024) - (advising HB)
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* 24.02 - Tracking informations flow in biosystems from high-throughput data - Miron Kursa
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* 03.03 - Introduction to Sparse Autoencoders (ReLU, TopK, Anthropic Works) - (Vladimir)
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* 10.03 - New and Related Work in SAE - (Vladimir)
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* 17.03 - New and Related Work in SAE (additional time) - (Vladimir)
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* 24.03 - Interpreting CLIP with Hierarchical Sparse Autoencoders - Vladimir Zaigrajew
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* 31.03 - INTRO + PIP-Net: Patch-based intuitive prototypes for interpretable image classification (CVPR 2023) - (advising HB)
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* 07.04 - ProtoViT: Interpretable image classification with adaptive prototype-based vision transformers (NeurIPS 2024) - (advising HB)
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* 14.04 - Adversarial analysis of intrinsically interpretable deep learning - Hubert Baniecki
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* 28.04 - Vlad

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