ICML 2023 Workshop TAGML Submissions

Implicitly Learned Invariance and Equivariance in Linear Regression
Yonatan Gideoni
- Published: 18 Jun 2023, Last Modified: 29 Jun 2023
- TAGML2023 Poster
- Readers: Everyone
Enriching Disentanglement: Definitions to Metrics
Yivan Zhang, Masashi Sugiyama
- Published: 18 Jun 2023, Last Modified: 30 Jun 2023
- TAGML2023 Poster
- Readers: Everyone
Learning Structured Representations with Equivariant Contrastive Learning
Sharut Gupta, Joshua Robinson, Derek Lim, Soledad Villar, Stefanie Jegelka
- Published: 18 Jun 2023, Last Modified: 02 Jul 2023
- TAGML2023 Poster
- Readers: Everyone
Geometric Algebra Transformers
Johann Brehmer, Pim De Haan, Sönke Behrends, Taco Cohen
- Published: 18 Jun 2023, Last Modified: 27 Jun 2023
- TAGML2023 Poster
- Readers: Everyone
Non-isotropic Persistent Homology
Vincent Peter Grande, Michael T Schaub
- Published: 18 Jun 2023, Last Modified: 29 Jun 2023
- TAGML2023 Poster
- Readers: Everyone
Conditional Bisimulation for Generalization in Reinforcement Learning
Anuj Mahajan, Amy Zhang
- Published: 18 Jun 2023, Last Modified: 30 Jun 2023
- TAGML2023 Poster
- Readers: Everyone
Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces
Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong
- Published: 18 Jun 2023, Last Modified: 29 Jun 2023
- TAGML2023 Poster
- Readers: Everyone
On the Expressive Power of Ollivier-Ricci Curvature on Graphs
Joshua Southern, Jeremy Wayland, Michael M. Bronstein, Bastian Rieck
- Published: 18 Jun 2023, Last Modified: 25 Aug 2023
- TAGML2023 Poster
- Readers: Everyone
Latent Space Symmetry Discovery
Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu
- Published: 18 Jun 2023, Last Modified: 28 Jun 2023
- TAGML2023 Poster
- Readers: Everyone
Can Euclidean Symmetry Help in Reinforcement Learning and Planning
Linfeng Zhao, Owen Lewis Howell, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L.S. Wong
- Published: 18 Jun 2023, Last Modified: 18 Jun 2023
- TAGML2023 Poster
- Readers: Everyone
Lie Point Symmetry and Physics Informed Networks
Tara Akhound-Sadegh, Laurence Perreault-Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh
- Published: 18 Jun 2023, Last Modified: 30 Jun 2023
- TAGML2023 Poster
- Readers: Everyone
Learned Gridification for Efficient Point Cloud Processing
Putri A Van der Linden, David W. Romero, Erik J Bekkers
- Published: 18 Jun 2023, Last Modified: 02 Jul 2023
- TAGML2023 Poster
- Readers: Everyone
Equivariant Self-supervised Deep Pose Estimation for Cryo EM
Gabriele Cesa, Kumar Pratik, Arash Behboodi
- Published: 18 Jun 2023, Last Modified: 02 Jul 2023
- TAGML2023 Poster
- Readers: Everyone
FAM: Relative Flatness Aware Minimization
Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp
- Published: 18 Jun 2023, Last Modified: 29 Jun 2023
- TAGML2023 Poster
- Readers: Everyone
Learning Lie Group Symmetry Transformations with Neural Networks
Alex Gabel, Victoria Klein, Riccardo Valperga, Jeroen S. W. Lamb, Kevin Webster, Rick Quax, Efstratios Gavves
- Published: 18 Jun 2023, Last Modified: 01 Jul 2023
- TAGML2023 Poster
- Readers: Everyone
One-Shot Neural Network Pruning via Spectral Graph Sparsification
Steinar Laenen
- Published: 18 Jun 2023, Last Modified: 02 Jul 2023
- TAGML2023 Poster
- Readers: Everyone
Sumformer: Universal Approximation for Efficient Transformers
Silas Alberti, Niclas Dern, Laura Thesing, Gitta Kutyniok
- Published: 18 Jun 2023, Last Modified: 08 Jul 2023
- TAGML2023 Poster
- Readers: Everyone
Topologically Attributed Graphs for Shape Discrimination
Justin Curry, Washington Mio, Tom Needham, Osman Berat Okutan, Florian Russold
- Published: 18 Jun 2023, Last Modified: 30 Jun 2023
- TAGML2023 Oral
- Readers: Everyone
Deep Networks as Paths on the Manifold of Neural Representations
Richard D Lange, Devin Kwok, Jordan Kyle Matelsky, Xinyue Wang, David Rolnick, Konrad Kording
- Published: 18 Jun 2023, Last Modified: 01 Jul 2023
- TAGML2023 Poster
- Readers: Everyone
Visualizing and Analyzing the Topology of Neuron Activations in Deep Adversarial Training
Youjia Zhou, Yi Zhou, Jie Ding, Bei Wang
- Published: 18 Jun 2023, Last Modified: 01 Jul 2023
- TAGML2023 Poster
- Readers: Everyone
Explaining Graph Neural Networks Using Interpretable Local Surrogates
Farzaneh Heidari, Perouz Taslakian, Guillaume Rabusseau
- Published: 18 Jun 2023, Last Modified: 01 Jul 2023
- TAGML2023 Poster
- Readers: Everyone
Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach
Oguzhan Keskin, Alisia Maria Lupidi, Stefano Fioravanti, Lucie Charlotte Magister, Pietro Barbiero, Pietro Lio, Francesco Giannini
- Published: 18 Jun 2023, Last Modified: 01 Jul 2023
- TAGML2023 Poster
- Readers: Everyone
Unsupervised Embedding Quality Evaluation
Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi
- Published: 18 Jun 2023, Last Modified: 23 Jun 2023
- TAGML2023 Oral
- Readers: Everyone
A margin-based multiclass generalization bound via geometric complexity
Michael Munn, Benoit Dherin, Javier Gonzalvo
- Published: 18 Jun 2023, Last Modified: 18 Jul 2023
- TAGML2023 Poster
- Readers: Everyone
An Exact Kernel Equivalence for Finite Classification Models
Brian Wesley Bell, Michael Geyer, David Glickenstein, Amanda S Fernandez, Juston Moore
- Published: 18 Jun 2023, Last Modified: 07 Jul 2023
- TAGML2023 Poster
- Readers: Everyone