Table of Contents

• PrefaceTimothy Doster, Tegan Emerson, Henry Kvinge, Nina Miolane, Mathilde Papillon, Bastian Rieck, Sophia Sanborn. 1-2 [doi]
• ICML 2023 Topological Deep Learning Challenge: Design and ResultsMathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou, Aldo Guzmán-Sáenz, Bastian Rieck, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen 0001, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane. 3-8 [doi]
• Learned Gridification for Efficient Point Cloud ProcessingPutri A. van der Linden, David W. Romero, Erik J. Bekkers. 9-20 [doi]
• Equivariant Self-supervised Deep Pose Estimation for Cryo EMGabriele Cesa, Kumar Pratik, Arash Behboodi. 21-36 [doi]
• FAM: Relative Flatness Aware MinimizationLinara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp. 37-49 [doi]
• Learning Lie Group Symmetry Transformations with Neural NetworksAlex Gabel, Victoria Klein, Riccardo Valperga, Jeroen S. W. Lamb, Kevin Webster, Rick Quax, Efstratios Gavves. 50-59 [doi]
• One-Shot Neural Network Pruning via Spectral Graph SparsificationSteinar Laenen. 60-71 [doi]
• Sumformer: Universal Approximation for Efficient TransformersSilas Alberti, Niclas Dern, Laura Thesing, Gitta Kutyniok. 72-86 [doi]
• Topologically Attributed Graphs for Shape DiscriminationJustin Curry, Washington Mio, Tom Needham, Osman Berat Okutan, Florian Russold. 87-101 [doi]
• Deep Networks as Paths on the Manifold of Neural RepresentationsRichard D. Lange, Devin Kwok, Jordan Kyle Matelsky, Xinyue Wang, David Rolnick, Konrad Kording. 102-133 [doi]
• Visualizing and Analyzing the Topology of Neuron Activations in Deep Adversarial TrainingYoujia Zhou, Yi Zhou 0017, Jie Ding 0002, Bei Wang 0001. 134-145 [doi]
• Explaining Graph Neural Networks Using Interpretable Local SurrogatesFarzaneh Heidari, Perouz Taslakian, Guillaume Rabusseau. 146-155 [doi]
• Bridging Equational Properties and Patterns on Graphs: an AI-Based ApproachOguzhan Keskin, Alisia Maria Lupidi, Stefano Fioravanti, Lucie Charlotte Magister, Pietro Barbiero, Pietro Lio, Francesco Giannini. 156-168 [doi]
• Unsupervised Embedding Quality EvaluationAnton Tsitsulin, Marina Munkhoeva, Bryan Perozzi. 169-188 [doi]
• A margin-based multiclass generalization bound via geometric complexityMichael Munn, Benoit Dherin, Javier Gonzalvo. 189-205 [doi]
• An Exact Kernel Equivalence for Finite Classification ModelsBrian Wesley Bell, Michael Geyer, David Glickenstein, Amanda S. Fernandez, Juston Moore. 206-217 [doi]
• On genuine invariance learning without weight-tyingArtem Moskalev, Anna Sepliarskaia, Erik J. Bekkers, Arnold W. M. Smeulders. 218-227 [doi]
• Homological Neural Networks: A Sparse Architecture for Multivariate ComplexityYuanrong Wang, Antonio Briola, Tomaso Aste. 228-241 [doi]
• Metric Space Magnitude and Generalisation in Neural NetworksRayna Andreeva, Katharina Limbeck, Bastian Rieck, Rik Sarkar. 242-253 [doi]
• Non-linear Embeddings in Hilbert Simplex GeometryFrank Nielsen, Ke Sun 0001. 254-266 [doi]
• Product Manifold Learning with Independent Coordinate SelectionJesse He, Tristan Brugère, Gal Mishne. 267-277 [doi]
• Can strong structural encoding reduce the importance of Message Passing?Floor Eijkelboom, Erik J. Bekkers, Michael M. Bronstein, Francesco Di Giovanni. 278-288 [doi]
• Breaking the Structure of Multilayer Perceptrons with Complex TopologiesTommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi. 289-301 [doi]
• Global and Relative Topological Features from Homological Invariants of Subsampled DatasetsJens Agerberg, Wojciech Chachólski, Ryan Ramanujam. 302-312 [doi]
• GRIL: A $2$-parameter Persistence Based Vectorization for Machine LearningCheng Xin, Soham Mukherjee, Shreyas N. Samaga, Tamal K. Dey. 313-333 [doi]
• Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical ProjectionsClément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty. 334-370 [doi]
• Episodic Memory Theory of Recurrent Neural Networks: Insights into Long-Term Information Storage and ManipulationArjun Karuvally, Peter DelMastro, Hava T. Siegelmann. 371-383 [doi]
• Geometrically Regularized Wasserstein Dictionary LearningMarshall Mueller, Shuchin Aeron, James M. Murphy, Abiy Tasissa. 384-403 [doi]
• The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNsSamantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang 0001. 404-425 [doi]
• A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian ManifoldsIlyes Batatia. 426-436 [doi]
• Learning To See Topological Properties In 4D Using Convolutional Neural NetworksKhalil Mathieu Hannouch, Stephan K. Chalup. 437-454 [doi]
• ReLU Neural Networks, Polyhedral Decompositions, and Persistent HomologyYajing Liu, Christina M. Cole, Chris Peterson 0001, Michael Kirby. 455-468 [doi]
• An ML approach to resolution of singularitiesGergely Bérczi, Honglu Fan, Mingcong Zeng. 469-487 [doi]
• Fisher-Rao and pullback Hilbert cone distances on the multivariate Gaussian manifold with applications to simplification and quantization of mixturesFrank Nielsen. 488-504 [doi]
• On Explicit Curvature Regularization in Deep Generative ModelsYonghyeon Lee, Frank C. Park 0001. 505-518 [doi]
• MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental LearningAnant Khandelwal. 519-533 [doi]
• Topological Feature SelectionAntonio Briola, Tomaso Aste. 534-556 [doi]
• Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on SolutionsLiangchen Liu, Juncai He, Yen-Hsi Tsai. 557-576 [doi]