Konstantin Schürholt

According to our database, Konstantin Schürholt authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hyper-Representations: Learning from Populations of Neural Networks.

Konstantin Schürholt

CoRR, 2024

Dirac-Bianconi Graph Neural Networks - Enabling Non-Diffusive Long-Range Graph Predictions.

Christian Nauck, Rohan Gorantla, Michael Lindner, Konstantin Schürholt, Antonia S. J. S. Mey, Frank Hellmann

CoRR, 2024

MD tree: a model-diagnostic tree grown on loss landscape.

Yefan Zhou, Jianlong Chen, Qinxue Cao, Konstantin Schürholt, Yaoqing Yang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Scalable and Versatile Weight Space Learning.

Konstantin Schürholt, Michael W. Mahoney, Damian Borth

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models.

Dominik Honegger, Konstantin Schürholt, Damian Borth

CoRR, 2023

Eurosat Model Zoo: A Dataset and Benchmark on Populations of Neural Networks and Its Sparsified Model Twins.

Dominik Honegger, Konstantin Schürholt, Linus Scheibenreif, Damian Borth

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Towards dynamic stability analysis of sustainable power grids using graph neural networks.

Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann

CoRR, 2022

Hyper-Representations for Pre-Training and Transfer Learning.

Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth

CoRR, 2022

Dynamic stability of power grids - new datasets for Graph Neural Networks.

Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann

CoRR, 2022

Model Zoos: A Dataset of Diverse Populations of Neural Network Models.

Konstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights.

Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Predicting Dynamic Stability of Power Grids using Graph Neural Networks.

Christian Nauck, Michael Lindner, Konstantin Schürholt, Haoming Zhang, Paul Schultz, Jürgen Kurths, Ingrid Isenhardt, Frank Hellmann

CoRR, 2021

Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction.

Konstantin Schürholt, Dimche Kostadinov, Damian Borth

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

An Investigation of the Weight Space for Version Control of Neural Networks.

Konstantin Schürholt, Damian Borth

CoRR, 2020