Konstantin Schürholt

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Transfer Learning

Maximum Entropy Principle

Hierarchical Hidden Markov Models

Top Venues

Publications

Yefan Zhou, Jianlong Chen, Qinxue Cao, Konstantin Schürholt, Yaoqing Yang
MD tree: a model-diagnostic tree grown on loss landscape. CoRR (2024)
Konstantin Schürholt, Michael W. Mahoney, Damian Borth
Towards Scalable and Versatile Weight Space Learning. CoRR (2024)
Christian Nauck, Rohan Gorantla, Michael Lindner, Konstantin Schürholt, Antonia S. J. S. Mey, Frank Hellmann
Dirac-Bianconi Graph Neural Networks - Enabling Non-Diffusive Long-Range Graph Predictions. CoRR (2024)
Dominik Honegger, Konstantin Schürholt, Damian Borth
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models. CoRR (2023)
Dominik Honegger, Konstantin Schürholt, Linus Scheibenreif, Damian Borth
Eurosat Model Zoo: A Dataset and Benchmark on Populations of Neural Networks and Its Sparsified Model Twins. IGARSS (2023)
Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. NeurIPS (2022)
Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Hyper-Representations for Pre-Training and Transfer Learning. CoRR (2022)
Konstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Model Zoos: A Dataset of Diverse Populations of Neural Network Models. NeurIPS (2022)
Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann
Towards dynamic stability analysis of sustainable power grids using graph neural networks. CoRR (2022)
Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. CoRR (2022)
Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann
Dynamic stability of power grids - new datasets for Graph Neural Networks. CoRR (2022)
Konstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Model Zoos: A Dataset of Diverse Populations of Neural Network Models. CoRR (2022)
Konstantin Schürholt, Dimche Kostadinov, Damian Borth
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction. CoRR (2021)
Christian Nauck, Michael Lindner, Konstantin Schürholt, Haoming Zhang, Paul Schultz, Jürgen Kurths, Ingrid Isenhardt, Frank Hellmann
Predicting Dynamic Stability of Power Grids using Graph Neural Networks. CoRR (2021)
Konstantin Schürholt, Dimche Kostadinov, Damian Borth
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction. NeurIPS (2021)
Konstantin Schürholt, Damian Borth
An Investigation of the Weight Space for Version Control of Neural Networks. CoRR (2020)