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ORCIDChristoph D. Hofer
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2020 – today
- 2021
[c8]Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt:
Dissecting Supervised Constrastive Learning. ICML 2021: 3821-3830- [c7]Sebastian Zeng, Florian Graf, Christoph D. Hofer, Roland Kwitt:
Topological Attention for Time Series Forecasting. NeurIPS 2021: 24871-24882 - [i6]Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt:
Dissecting Supervised Constrastive Learning. CoRR abs/2102.08817 (2021) - [i5]Sebastian Zeng, Florian Graf, Christoph D. Hofer, Roland Kwitt:
Topological Attention for Time Series Forecasting. CoRR abs/2107.09031 (2021) - 2020
- [j3]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: 103592 (2020) - [j2]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: 8915961:1-8915961:16 (2020) - [c6]Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt:
Topologically Densified Distributions. ICML 2020: 4304-4313 - [c5]Christoph D. Hofer, Florian Graf, Bastian Rieck, Marc Niethammer, Roland Kwitt:
Graph Filtration Learning. ICML 2020: 4314-4323 - [i4]Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt:
Topologically Densified Distributions. CoRR abs/2002.04805 (2020)
2010 – 2019
- 2019
- [j1]Christoph D. Hofer, Roland Kwitt, Marc Niethammer:
Learning Representations of Persistence Barcodes. J. Mach. Learn. Res. 20: 126:1-126:45 (2019) - [c4]Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Mandar Dixit:
Connectivity-Optimized Representation Learning via Persistent Homology. ICML 2019: 2751-2760 - [i3]Christoph D. Hofer, Roland Kwitt, Marc Niethammer:
Graph Filtration Learning. CoRR abs/1905.10996 (2019) - [i2]Christoph D. Hofer, Roland Kwitt, Mandar Dixit, Marc Niethammer:
Connectivity-Optimized Representation Learning via Persistent Homology. CoRR abs/1906.09003 (2019) - 2017
- [c3]Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Yvonne Höller, Eugen Trinka, Andreas Uhl:
Constructing Shape Spaces from a Topological Perspective. IPMI 2017: 106-118 - [c2]Christoph D. Hofer, Roland Kwitt, Yvonne Höller, Eugen Trinka, Andreas Uhl:
Simple domain adaptation for cross-dataset analyses of brain MRI data. ISBI 2017: 441-445 - [c1]Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl:
Deep Learning with Topological Signatures. NIPS 2017: 1634-1644 - [i1]Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl:
Deep Learning with Topological Signatures. CoRR abs/1707.04041 (2017)
Coauthor Index
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