Borth, Damian

19 publications

ICLRW 2025 A Model Zoo of Vision Transformers Damian Falk, Léo Meynent, Florence Pfammatter, Konstantin Schürholt, Damian Borth

ICLRW 2025 A Model Zoo on Phase Transitions in Neural Networks Konstantin Schürholt, Léo Meynent, Yefan Zhou, Yaoqing Yang, Damian Borth

NeurIPS 2025 Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Zhiyuan Liang, Dongwen Tang, Yuhao Zhou, Xuanlei Zhao, Mingjia Shi, Wangbo Zhao, Zekai Li, Peihao Wang, Konstantin Schürholt, Damian Borth, Michael M. Bronstein, Yang You, Zhangyang Wang, Kai Wang

ICCV 2025 Know Your Attention Maps: Class-Specific Token Masking for Weakly Supervised Semantic Segmentation Joëlle Hanna, Damian Borth

ICLRW 2025 Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction Léo Meynent, Ivan Melev, Konstantin Schürholt, Goeran Kauermann, Damian Borth

ICLRW 2025 The Impact of Model Zoo Size and Composition on Weight Space Learning Damian Falk, Konstantin Schürholt, Damian Borth

CVPR 2024 Parameter Efficient Self-Supervised Geospatial Domain Adaptation Linus Scheibenreif, Michael Mommert, Damian Borth

ICML 2024 Towards Scalable and Versatile Weight Space Learning Konstantin Schürholt, Michael W. Mahoney, Damian Borth

CoLLAs 2023 Class-Incremental Learning with Repetition Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth

CVPRW 2023 Masked Vision Transformers for Hyperspectral Image Classification Linus Scheibenreif, Michael Mommert, Damian Borth

CoLLAs 2023 Partial Hypernetworks for Continual Learning Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth

CVPRW 2023 Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation Joëlle Hanna, Michael Mommert, Damian Borth

NeurIPSW 2022 Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing Marco Schreyer, Hamed Hemati, Damian Borth, Miklos A. Vasarhelyi

ICMLW 2022 Hyper-Representation for Pre-Training and Transfer Learning Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth

NeurIPS 2022 Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth

NeurIPS 2022 Model Zoos: A Dataset of Diverse Populations of Neural Network Models Konstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth

CVPRW 2022 Self-Supervised Vision Transformers for Land-Cover Segmentation and Classification Linus Scheibenreif, Joëlle Hanna, Michael Mommert, Damian Borth

IJCAI 2021 Learning Interpretable Concept Groups in CNNs Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft

NeurIPS 2021 Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction Konstantin Schürholt, Dimche Kostadinov, Damian Borth