Kwitt, Roland

26 publications

CVPR 2025 CARL: A Framework for Equivariant Image Registration Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Raul San Jose Estepar, Marc Niethammer

NeurIPS 2025 The Flood Complex: Large-Scale Persistent Homology on Millions of Points Florian Graf, Paolo Pellizzoni, Martin Uray, Stefan Huber, Roland Kwitt

NeurIPS 2024 Neural Persistence Dynamics Sebastian Zeng, Florian Graf, Martin Uray, Stefan Huber, Roland Kwitt

ICML 2024 Position: Topological Deep Learning Is the New Frontier for Relational Learning Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T Schaub, Petar Veličković, Bei Wang, Yusu Wang, Guowei Wei, Ghada Zamzmi

CVPR 2023 GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency Lin Tian, Hastings Greer, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Richard Jarrett Rushmore, Nikolaos Makris, Sylvain Bouix, Marc Niethammer

NeurIPS 2023 Latent SDEs on Homogeneous Spaces Sebastian Zeng, Florian Graf, Roland Kwitt

NeurIPS 2022 On Measuring Excess Capacity in Neural Networks Florian Graf, Sebastian Zeng, Bastian Rieck, Marc Niethammer, Roland Kwitt

ICML 2021 Dissecting Supervised Contrastive Learning Florian Graf, Christoph Hofer, Marc Niethammer, Roland Kwitt

ICCV 2021 ICON: Learning Regular Maps Through Inverse Consistency Hastings Greer, Roland Kwitt, François-Xavier Vialard, Marc Niethammer

NeurIPS 2021 Topological Attention for Time Series Forecasting Sebastian Zeng, Florian Graf, Christoph Hofer, Roland Kwitt

NeurIPS 2020 A Shooting Formulation of Deep Learning François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer

ICML 2020 Graph Filtration Learning Christoph Hofer, Florian Graf, Bastian Rieck, Marc Niethammer, Roland Kwitt

ICML 2020 Topologically Densified Distributions Christoph Hofer, Florian Graf, Marc Niethammer, Roland Kwitt

ICML 2019 Connectivity-Optimized Representation Learning via Persistent Homology Christoph Hofer, Roland Kwitt, Marc Niethammer, Mandar Dixit

JMLR 2019 Learning Representations of Persistence Barcodes Christoph D. Hofer, Roland Kwitt, Marc Niethammer

CVPR 2017 AGA: Attribute-Guided Augmentation Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos

NeurIPS 2017 Deep Learning with Topological Signatures Christoph Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl

AISTATS 2017 Regression Uncertainty on the Grassmannian Yi Hong, Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer

CVPR 2016 One-Shot Learning of Scene Locations via Feature Trajectory Transfer Roland Kwitt, Sebastian Hegenbart, Marc Niethammer

CVPR 2015 A Stable Multi-Scale Kernel for Topological Machine Learning Jan Reininghaus, Stefan Huber, Ulrich Bauer, Roland Kwitt

NeurIPS 2015 Statistical Topological Data Analysis - A Kernel Perspective Roland Kwitt, Stefan Huber, Marc Niethammer, Weili Lin, Ulrich Bauer

ECCV 2014 Geodesic Regression on the Grassmannian Yi Hong, Roland Kwitt, Nikhil Singh, Brad Davis, Nuno Vasconcelos, Marc Niethammer

CVPRW 2012 PCL and ParaView - Connecting the Dots Pat Marion, Roland Kwitt, Brad Davis, Michael Gschwandtner

ECCV 2012 Scene Recognition on the Semantic Manifold Roland Kwitt, Nuno Vasconcelos, Nikhil Rasiwasia

CVPRW 2010 Predicting the Histology of Colorectal Lesions in a Probabilistic Framework Roland Kwitt, Andreas Uhl, Michael Häfner, Alfred Gangl, Friedrich Wrba, Andreas Vécsei

ICCV 2007 Modeling the Marginal Distributions of Complex Wavelet Coefficient Magnitudes for the Classification of Zoom-Endoscopy Images Roland Kwitt, Andreas Uhl