Christoph D. Hofer

According to our database, Christoph D. Hofer authored at least 12 papers between 2017 and 2021.

Collaborative distances:

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

2021

Topological Attention for Time Series Forecasting.

Sebastian Zeng, Florian Graf, Christoph D. Hofer, Roland Kwitt

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

Dissecting Supervised Constrastive Learning.

Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Prediction of Cognitive Decline in Temporal Lobe Epilepsy and Mild Cognitive Impairment by EEG, MRI, and Neuropsychology.

Yvonne Höller, Kevin Butz, Aljoscha Thomschewski, Elisabeth Schmid, Christoph D. Hofer, Andreas Uhl, Arne C. Bathke, Wolfgang Staffen, Raffaele Nardone, Fabian Schwimmbeck, Markus Leitinger, Georgi Kuchukhidze, Marlene Derner, Jürgen Fell, Eugen Trinka

Comput. Intell. Neurosci., 2020

An empirical assessment of appearance descriptors applied to MRI for automated diagnosis of TLE and MCI.

Christoph D. Hofer, Roland Kwitt, Yvonne Höller, Eugen Trinka, Andreas Uhl

Comput. Biol. Medicine, 2020

Graph Filtration Learning.

Christoph D. Hofer, Florian Graf, Bastian Rieck, Marc Niethammer, Roland Kwitt

Proceedings of the 37th International Conference on Machine Learning, 2020

Topologically Densified Distributions.

Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Learning Representations of Persistence Barcodes.

Christoph D. Hofer, Roland Kwitt, Marc Niethammer

J. Mach. Learn. Res., 2019

Graph Filtration Learning.

Christoph D. Hofer, Roland Kwitt, Marc Niethammer

CoRR, 2019

Connectivity-Optimized Representation Learning via Persistent Homology.

Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Mandar Dixit

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Deep Learning with Topological Signatures.

Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Simple domain adaptation for cross-dataset analyses of brain MRI data.

Christoph D. Hofer, Roland Kwitt, Yvonne Höller, Eugen Trinka, Andreas Uhl

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Constructing Shape Spaces from a Topological Perspective.

Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Yvonne Höller, Eugen Trinka, Andreas Uhl

Proceedings of the Information Processing in Medical Imaging, 2017