ML Anthology

Schürholt, Konstantin

14 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
NeurIPS 2025 Scaling up Parameter Generation: A Recurrent Diffusion Approach Kai Wang, Dongwen Tang, Wangbo Zhao, Konstantin Schürholt, Zhangyang Wang, Yang You
ICLRW 2025 Scaling up Parameter Generation: A Recurrent Diffusion Approach Kai Wang, Dongwen Tang, Wangbo Zhao, Konstantin Schürholt, Zhangyang Wang, Yang You
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
ICMLW 2024 Dirac--Bianconi Graph Neural Networks - Enabling Long-Range Graph Predictions Christian Nauck, Rohan Gorantla, Michael Lindner, Konstantin Schürholt, Antonia S J S Mey, Frank Hellmann
ICML 2024 MD Tree: A Model-Diagnostic Tree Grown on Loss Landscape Yefan Zhou, Jianlong Chen, Qinxue Cao, Konstantin Schürholt, Yaoqing Yang
ICML 2024 Towards Scalable and Versatile Weight Space Learning Konstantin Schürholt, Michael W. Mahoney, Damian Borth
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
NeurIPS 2021 Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction Konstantin Schürholt, Dimche Kostadinov, Damian Borth