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Bastian Rieck

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

24

Venues

9

Active years

2018–2025

Best venue rank

A*

Where they publish

Papers

24 indexed papers, newest first.

YearVenueTitleAuthors
2025ICASSPPrincipal Curvatures Estimation with Applications to Single Cell Data.Yanlei Zhang, Lydia Mezrag, Xingzhi Sun, Charles Xu, Kincaid MacDonald, Dhananjay Bhaskar, Smita Krishnaswamy, Guy Wolf, Bastian Rieck
2025ICLRMANTRA: The Manifold Triangulations Assemblage.Rubn Ballester, Ernst Rell, Daniel Bin Schmid, Mathieu Alain, Sergio Escalera, Carles Casacuberta, Bastian Rieck
2025ICLRMAGNet: Motif-Agnostic Generation of Molecules from Scaffolds.Leon Hetzel, Johanna Sommer, Bastian Rieck, Fabian J. Theis, Stephan Gnnemann
2025ICMLNo Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets.Corinna Coupette, Jeremy Wayland, Emily Simons, Bastian Rieck
2025ICMLDiss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms.Julius von Rohrscheidt, Bastian Rieck
2024ICLRSimplicial Representation Learning with Neural k-Forms.Kelly Maggs, Celia Hacker, Bastian Rieck
2024ICLRDifferentiable Euler Characteristic Transforms for Shape Classification.Ernst Rell, Bastian Rieck
2024ICMLPosition: 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 Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
2024ICMLMapping the Multiverse of Latent Representations.Jeremy Wayland, Corinna Coupette, Bastian Rieck
2023CVPREuler Characteristic Transform Based Topological Loss for Reconstructing 3D Images from Single 2D Slices.Kalyan Varma Nadimpalli, Amit Chattopadhyay, Bastian Rieck
2023ICLROllivier-Ricci Curvature for Hypergraphs: A Unified Framework.Corinna Coupette, Sebastian Dalleiger, Bastian Rieck
2023ICMLTopological Singularity Detection at Multiple Scales.Julius von Rohrscheidt, Bastian Rieck
2022ICLRTopological Graph Neural Networks.Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt
2022ICLREvaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions.Leslie O'Bray, Max Horn, Bastian Rieck, Karsten M. Borgwardt
2022IDAExploring the Geometry and Topology of Neural Network Loss Landscapes.Stefan Horoi, Jessie Huang, Bastian Rieck, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy
2022MICCAICapturing Shape Information with Multi-scale Topological Loss Terms for 3D Reconstruction.Dominik Jens Elias Waibel, Scott Atwell, Matthias Meier, Carsten Marr, Bastian Rieck
2021KDDFiltration Curves for Graph Representation.Leslie O'Bray, Bastian Rieck, Karsten M. Borgwardt
2020ICMLGraph Filtration Learning.Christoph D. Hofer, Florian Graf, Bastian Rieck, Marc Niethammer, Roland Kwitt
2020ICMLSet Functions for Time Series.Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten M. Borgwardt
2020ICMLTopological Autoencoders.Michael Moor, Max Horn, Bastian Rieck, Karsten M. Borgwardt
2019ICDMA Wasserstein Subsequence Kernel for Time Series.Christian Bock, Matteo Togninalli, M. Elisabetta Ghisu, Thomas Gumbsch, Bastian Rieck, Karsten M. Borgwardt
2019ICLRNeural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology.Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt
2019ICMLA Persistent Weisfeiler-Lehman Procedure for Graph Classification.Bastian Rieck, Christian Bock, Karsten M. Borgwardt
2018ISVCVisualization of Parameter Sensitivity of 2D Time-Dependent Flow.Karsten Hanser, Ole Klein, Bastian Rieck, Bettina Wiebe, Tobias Selz, Marian Piatkowski, Antoni Sagrist, Boyan Zheng, Mria Lukcov-Medvid'ov, George Craig, Heike Leitte, Filip Sadlo