Christoph D. Hofer

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 16

Top Topics

Exponential Distributions

Unsupervised Learning

Persistent Homology

Top Venues

Comput. Intell. Neurosci.

Publications

Sebastian Zeng, Florian Graf, Christoph D. Hofer, Roland Kwitt
Topological Attention for Time Series Forecasting. CoRR (2021)
Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt
Dissecting Supervised Constrastive Learning. ICML (2021)
Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt
Dissecting Supervised Constrastive Learning. CoRR (2021)
Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt
Topologically Densified Distributions. ICML (2020)
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
Prediction of Cognitive Decline in Temporal Lobe Epilepsy and Mild Cognitive Impairment by EEG, MRI, and Neuropsychology. Comput. Intell. Neurosci. 2020 (2020)
Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt
Topologically Densified Distributions. CoRR (2020)
Christoph D. Hofer, Roland Kwitt, Yvonne Höller, Eugen Trinka, Andreas Uhl
An empirical assessment of appearance descriptors applied to MRI for automated diagnosis of TLE and MCI. Comput. Biol. Medicine 117 (2020)
Christoph D. Hofer, Florian Graf, Bastian Rieck, Marc Niethammer, Roland Kwitt
Graph Filtration Learning. ICML (2020)
Christoph D. Hofer, Roland Kwitt, Marc Niethammer
Learning Representations of Persistence Barcodes. J. Mach. Learn. Res. 20 (2019)
Christoph D. Hofer, Roland Kwitt, Mandar Dixit, Marc Niethammer
Connectivity-Optimized Representation Learning via Persistent Homology. CoRR (2019)
Christoph D. Hofer, Roland Kwitt, Marc Niethammer
Graph Filtration Learning. CoRR (2019)
Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Mandar Dixit
Connectivity-Optimized Representation Learning via Persistent Homology. ICML (2019)
Christoph D. Hofer, Roland Kwitt, Yvonne Höller, Eugen Trinka, Andreas Uhl
Simple domain adaptation for cross-dataset analyses of brain MRI data. ISBI (2017)
Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl
Deep Learning with Topological Signatures. CoRR (2017)
Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl
Deep Learning with Topological Signatures. NIPS (2017)
Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Yvonne Höller, Eugen Trinka, Andreas Uhl
Constructing Shape Spaces from a Topological Perspective. IPMI (2017)