Search results for "TAG-ML"

Hits ?▲	Authors	Title	Venue	Year	Link
1	Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty	Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections.	TAG-ML	2023	DBLP BibTeX RDF
1	Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp	FAM: Relative Flatness Aware Minimization.	TAG-ML	2023	DBLP BibTeX RDF
1	Yonghyeon Lee, Frank C. Park 0001	On Explicit Curvature Regularization in Deep Generative Models.	TAG-ML	2023	DBLP BibTeX RDF
1	Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang 0001	The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNs.	TAG-ML	2023	DBLP BibTeX RDF
1	Farzaneh Heidari, Perouz Taslakian, Guillaume Rabusseau	Explaining Graph Neural Networks Using Interpretable Local Surrogates.	TAG-ML	2023	DBLP BibTeX RDF
1	Anant Khandelwal	MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning.	TAG-ML	2023	DBLP BibTeX RDF
1	Arjun Karuvally, Peter DelMastro, Hava T. Siegelmann	Episodic Memory Theory of Recurrent Neural Networks: Insights into Long-Term Information Storage and Manipulation.	TAG-ML	2023	DBLP BibTeX RDF
1	Gergely Bérczi, Honglu Fan, Mingcong Zeng	An ML approach to resolution of singularities.	TAG-ML	2023	DBLP BibTeX RDF
1	Frank Nielsen, Ke Sun 0001	Non-linear Embeddings in Hilbert Simplex Geometry.	TAG-ML	2023	DBLP BibTeX RDF
1	Justin Curry, Washington Mio, Tom Needham, Osman Berat Okutan, Florian Russold	Topologically Attributed Graphs for Shape Discrimination.	TAG-ML	2023	DBLP BibTeX RDF
1	Gabriele Cesa, Kumar Pratik, Arash Behboodi	Equivariant Self-supervised Deep Pose Estimation for Cryo EM.	TAG-ML	2023	DBLP BibTeX RDF
1	Marshall Mueller, Shuchin Aeron, James M. Murphy, Abiy Tasissa	Geometrically Regularized Wasserstein Dictionary Learning.	TAG-ML	2023	DBLP BibTeX RDF
1	Youjia Zhou, Yi Zhou 0017, Jie Ding 0002, Bei Wang 0001	Visualizing and Analyzing the Topology of Neuron Activations in Deep Adversarial Training.	TAG-ML	2023	DBLP BibTeX RDF
1	Alex Gabel, Victoria Klein, Riccardo Valperga, Jeroen S. W. Lamb, Kevin Webster, Rick Quax, Efstratios Gavves	Learning Lie Group Symmetry Transformations with Neural Networks.	TAG-ML	2023	DBLP BibTeX RDF
1	Steinar Laenen	One-Shot Neural Network Pruning via Spectral Graph Sparsification.	TAG-ML	2023	DBLP BibTeX RDF
1	Cheng Xin, Soham Mukherjee, Shreyas N. Samaga, Tamal K. Dey	GRIL: A $2$-parameter Persistence Based Vectorization for Machine Learning.	TAG-ML	2023	DBLP BibTeX RDF
1	Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi	Breaking the Structure of Multilayer Perceptrons with Complex Topologies.	TAG-ML	2023	DBLP BibTeX RDF
1	Silas Alberti, Niclas Dern, Laura Thesing, Gitta Kutyniok	Sumformer: Universal Approximation for Efficient Transformers.	TAG-ML	2023	DBLP BibTeX RDF
1	Jesse He, Tristan Brugère, Gal Mishne	Product Manifold Learning with Independent Coordinate Selection.	TAG-ML	2023	DBLP BibTeX RDF
1	Putri A. van der Linden, David W. Romero, Erik J. Bekkers	Learned Gridification for Efficient Point Cloud Processing.	TAG-ML	2023	DBLP BibTeX RDF
1	Yajing Liu, Christina M. Cole, Chris Peterson 0001, Michael Kirby	ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homology.	TAG-ML	2023	DBLP BibTeX RDF
1	Frank Nielsen	Fisher-Rao and pullback Hilbert cone distances on the multivariate Gaussian manifold with applications to simplification and quantization of mixtures.	TAG-ML	2023	DBLP BibTeX RDF
1	Timothy Doster, Tegan Emerson, Henry Kvinge, Nina Miolane, Mathilde Papillon, Bastian Rieck, Sophia Sanborn (eds.)	Topological, Algebraic and Geometric Learning Workshops 2023, 28 July 2023, Honolulu, HI, USA	TAG-ML	2023	DBLP BibTeX RDF
1	Oguzhan Keskin, Alisia Maria Lupidi, Stefano Fioravanti, Lucie Charlotte Magister, Pietro Barbiero, Pietro Lio, Francesco Giannini	Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach.	TAG-ML	2023	DBLP BibTeX RDF
1	Yuanrong Wang, Antonio Briola, Tomaso Aste	Homological Neural Networks: A Sparse Architecture for Multivariate Complexity.	TAG-ML	2023	DBLP BibTeX RDF
1	Rayna Andreeva, Katharina Limbeck, Bastian Rieck, Rik Sarkar	Metric Space Magnitude and Generalisation in Neural Networks.	TAG-ML	2023	DBLP BibTeX RDF
1	Richard D. Lange, Devin Kwok, Jordan Kyle Matelsky, Xinyue Wang, David Rolnick, Konrad P. Kording	Deep Networks as Paths on the Manifold of Neural Representations.	TAG-ML	2023	DBLP BibTeX RDF
1	Mathilde 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 0001, 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	ICML 2023 Topological Deep Learning Challenge: Design and Results.	TAG-ML	2023	DBLP BibTeX RDF
1	Jens Agerberg, Wojciech Chachólski, Ryan Ramanujam	Global and Relative Topological Features from Homological Invariants of Subsampled Datasets.	TAG-ML	2023	DBLP BibTeX RDF
1	Brian Wesley Bell, Michael Geyer, David Glickenstein, Amanda S. Fernandez, Juston Moore	An Exact Kernel Equivalence for Finite Classification Models.	TAG-ML	2023	DBLP BibTeX RDF
1	Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi	Unsupervised Embedding Quality Evaluation.	TAG-ML	2023	DBLP BibTeX RDF
1	Khalil Mathieu Hannouch, Stephan K. Chalup	Learning To See Topological Properties In 4D Using Convolutional Neural Networks.	TAG-ML	2023	DBLP BibTeX RDF
1	Antonio Briola, Tomaso Aste	Topological Feature Selection.	TAG-ML	2023	DBLP BibTeX RDF
1	Liangchen Liu, Juncai He, Yen-Hsi Tsai	Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions.	TAG-ML	2023	DBLP BibTeX RDF
1	Michael Munn, Benoit Dherin, Javier Gonzalvo	A margin-based multiclass generalization bound via geometric complexity.	TAG-ML	2023	DBLP BibTeX RDF
1	Ilyes Batatia	A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds.	TAG-ML	2023	DBLP BibTeX RDF
1	Floor Eijkelboom, Erik J. Bekkers, Michael M. Bronstein, Francesco Di Giovanni	Can strong structural encoding reduce the importance of Message Passing?	TAG-ML	2023	DBLP BibTeX RDF
1	Timothy Doster, Tegan Emerson, Henry Kvinge, Nina Miolane, Mathilde Papillon, Bastian Rieck, Sophia Sanborn	Preface.	TAG-ML	2023	DBLP BibTeX RDF
1	Artem Moskalev, Anna Sepliarskaia, Erik J. Bekkers, Arnold W. M. Smeulders	On genuine invariance learning without weight-tying.	TAG-ML	2023	DBLP BibTeX RDF
1	Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf	Preface.	TAG-ML	2022	DBLP BibTeX RDF
1	Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris D. Cantwell	REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics.	TAG-ML	2022	DBLP BibTeX RDF
1	Celia Hacker, Bastian Rieck	On the Surprising Behaviour of \textttnode2vec.	TAG-ML	2022	DBLP BibTeX RDF
1	Elise van der Pol, Ian Gemp, Yoram Bachrach	Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering.	TAG-ML	2022	DBLP BibTeX RDF
1	Truong Son Hy, Risi Kondor	Multiresolution Matrix Factorization and Wavelet Networks on Graphs.	TAG-ML	2022	DBLP BibTeX RDF
1	Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong	Diversified Multiscale Graph Learning with Graph Self-Correction.	TAG-ML	2022	DBLP BibTeX RDF
1	Stephen Fitz	The Shape of Words - topological structure in natural language data.	TAG-ML	2022	DBLP BibTeX RDF
1	Chester Holtz, Gal Mishne, Alexander Cloninger	Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors.	TAG-ML	2022	DBLP BibTeX RDF
1	Lara Kassab, Scott Howland, Henry Kvinge, Keerti Sahithi Kappagantula, Tegan Emerson	TopTemp: Parsing Precipitate Structure from Temper Topology.	TAG-ML	2022	DBLP BibTeX RDF
1	Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò	Sheaf Neural Networks with Connection Laplacians.	TAG-ML	2022	DBLP BibTeX RDF
1	Grayson Jorgenson, Henry Kvinge, Tegan Emerson, Colin C. Olson	Random Filters for Enriching the Discriminatory power of Topological Representations.	TAG-ML	2022	DBLP BibTeX RDF
1	Joyce A. Chew, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu, Matthew J. Hirn, Deanna Needell, Matthew D. Vesely, Smita Krishnaswamy, Michael Perlmutter	The Manifold Scattering Transform for High-Dimensional Point Cloud Data.	TAG-ML	2022	DBLP BibTeX RDF
1	Adele Myers, Saiteja Utpala, Shubham Talbar, Sophia Sanborn, Christian Shewmake, Claire Donnat, Johan Mathe, Rishi Sonthalia, Xinyue Cui, Tom Szwagier, Arthur Pignet, Andri Bergsson, Søren Hauberg, Dmitriy Nielsen, Stefan Sommer, David A. Klindt, Erik Hermansen, Melvin Vaupel, Benjamin A. Dunn, Jeffrey Xiong, Noga Aharony, Itsik Pe'er, Felix Ambellan, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz, Nina Miolane	ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results.	TAG-ML	2022	DBLP BibTeX RDF
1	Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge	Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps.	TAG-ML	2022	DBLP BibTeX RDF
1	Aishwarya H. Balwani, Jakob Krzyston	Zeroth-Order Topological Insights into Iterative Magnitude Pruning.	TAG-ML	2022	DBLP BibTeX RDF
1	Xiang Liu, Kelin Xia	Persistent tor-algebra based stacking ensemble learning (PTA-SEL) for protein-protein binding affinity prediction.	TAG-ML	2022	DBLP BibTeX RDF
1	Thomas Gebhart	Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent Kernel.	TAG-ML	2022	DBLP BibTeX RDF
1	Ekaterina Khramtsova, Guido Zuccon, Xi Wang, Mahsa Baktashmotlagh	Rethinking Persistent Homology For Visual Recognition.	TAG-ML	2022	DBLP BibTeX RDF
1	Ido Ben-Shaul, Shai Dekel	Nearest Class-Center Simplification through Intermediate Layers.	TAG-ML	2022	DBLP BibTeX RDF
1	Thibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse, Frédéric Chazal	RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds.	TAG-ML	2022	DBLP BibTeX RDF
1	Kai Yi, Jialin Chen, Yu Guang Wang 0001, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann	APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION.	TAG-ML	2022	DBLP BibTeX RDF
1	Nutan Chen, Patrick van der Smagt, Botond Cseke	Local Distance Preserving Auto-encoders using Continuous kNN Graphs.	TAG-ML	2022	DBLP BibTeX RDF
1	Ben Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym	A Simple and Universal Rotation Equivariant Point-Cloud Network.	TAG-ML	2022	DBLP BibTeX RDF
1	Zhiwei Liu, Lin Meng, Fei Jiang, Jiawei Zhang 0001, Philip S. Yu	Deoscillated Adaptive Graph Collaborative Filtering.	TAG-ML	2022	DBLP BibTeX RDF
1	Shiying Li 0002, Abu Hasnat Mohammad Rubaiyat, Gustavo K. Rohde	Geodesic Properties of a Generalized Wasserstein Embedding for Time Series Aanalysis.	TAG-ML	2022	DBLP BibTeX RDF
1	Navya Nagananda, Breton L. Minnehan, Andreas E. Savakis	Robust $L_p$-Norm Linear Discriminant Analysis with Proxy Matrix Optimization.	TAG-ML	2022	DBLP BibTeX RDF
1	Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari	Multi-Scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators.	TAG-ML	2022	DBLP BibTeX RDF
1	Rishi Sonthalia, Anna C. Gilbert, Matthew Durham	CubeRep: Learning Relations Between Different Views of Data.	TAG-ML	2022	DBLP BibTeX RDF
1	Sun Woo Park, Yun Young Choi, Dosang Joe, U Jin Choi, Youngho Woo	The PWLR graph Representation: A Persistent Weisfeiler-Lehman Scheme with Random Walks for Graph Classification.	TAG-ML	2022	DBLP BibTeX RDF
1	Peter Xenopoulos, Gromit Chan, Harish Doraiswamy, Luis Gustavo Nonato, Brian Barr, Cláudio T. Silva	GALE: Globally Assessing Local Explanations.	TAG-ML	2022	DBLP BibTeX RDF
1	Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf (eds.)	Topological, Algebraic and Geometric Learning Workshops 2022, 25-22 July 2022, Virtual	TAG-ML	2022	DBLP BibTeX RDF
1	Daniel J. Williams, Song Liu	Score Matching for Truncated Density Estimation on a Manifold.	TAG-ML	2022	DBLP BibTeX RDF
1	Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, P. Thomas Fletcher	A Geometrical Approach to Finding Difficult Examples in Language.	TAG-ML	2022	DBLP BibTeX RDF
1	Johannes F. Lutzeyer, Changmin Wu, Michalis Vazirgiannis	Sparsifying the Update Step in Graph Neural Networks.	TAG-ML	2022	DBLP BibTeX RDF
1	Jacob Bamberger	A Topological characterisation of Weisfeiler-Leman equivalence classes.	TAG-ML	2022	DBLP BibTeX RDF
1	Keaton Hamm, Mohamed Meskini, HanQin Cai	Riemannian CUR Decompositions for Robust Principal Component Analysis.	TAG-ML	2022	DBLP BibTeX RDF
1	Rita González-Márquez, Philipp Berens, Dmitry Kobak	Two-dimensional visualization of large document libraries using t-SNE.	TAG-ML	2022	DBLP BibTeX RDF

Publications at "TAG-ML"( http://dblp.L3S.de/Venues/TAG-ML )