ICML 2024 Workshop GRaM Submissions

Energy-based Hopfield Boosting for Out-of-Distribution Detection
Claus Hofmann, Simon Lucas Schmid, Bernhard Lehner, Daniel Klotz, Sepp Hochreiter
- Published: 17 Jun 2024, Last Modified: 10 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
On Fairly Comparing Group Equivariant Networks
Lucas Roos, Rodney Stephen Kroon
- Published: 17 Jun 2024, Last Modified: 13 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Towards General Geometries for Embedding Knowledge Graphs
Samuel G. Fadel, Tino Paulsen, Sebastian Mair
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
The NGT200 Dataset - Geometric Multi-View Isolated Sign Recognition
Oline Ranum, David Wessels, Gomèr Otterspeer, Erik J Bekkers, Floris Roelofsen, Jari I. Andersen
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Decoder ensembling for learned latent geometries
Stas Syrota, Pablo Moreno-Muñoz, Søren Hauberg
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Relaxed Equivariant Graph Neural Networks
Elyssa Hofgard, Rui Wang, Robin Walters, Tess Smidt
- Published: 17 Jun 2024, Last Modified: 13 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Understanding Hallucinations in Diffusion Models through Mode Interpolation
Sumukh K Aithal, Pratyush Maini, Zachary Chase Lipton
- Published: 17 Jun 2024, Last Modified: 11 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
(Deep) Generative Geodesics
Beomsu Kim, Michael Anthony Puthawala, Jong Chul Ye, Emanuele Sansone
- Published: 26 Jun 2024, Last Modified: 14 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians
Olga Zaghen, Antonio Longa, Steve Azzolin, Lev Telyatnikov, Andrea Passerini, Pietro Lio
- Published: 17 Jun 2024, Last Modified: 21 Aug 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Learning Diffeomorphic Lyapunov Functions from Data
Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks
Ferran Hernandez Caralt, Guillermo Bernardez, Iulia Duta, Eduard Alarcon, Pietro Lio
- Published: 17 Jun 2024, Last Modified: 21 Aug 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
Yoav Gelberg, Tycho F. A. van der Ouderaa, Mark van der Wilk, Yarin Gal
- Published: 17 Jun 2024, Last Modified: 14 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Mixed-Curvature Decision Trees and Random Forests
Philippe Chlenski, Quentin Chu, Itsik Pe'er
- Published: 17 Jun 2024, Last Modified: 13 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Lorentzian Residual Neural Networks
Neil He, Menglin Yang, Rex Ying
- Published: 17 Jun 2024, Last Modified: 13 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
SE3ET: SE(3)-Equivariant Transformer for Low-Overlap Point Cloud Registration
Chien Erh Lin, Minghan Zhu, Maani Ghaffari
- Published: 17 Jun 2024, Last Modified: 26 Jun 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Consistency models with learned idempotent boundary conditions
Gianluigi Silvestri, Luca Ambrogioni
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
SCENE-Net V2: Interpretable Multiclass 3D Scene Understanding with Geometric Priors
Diogo Mateus Lavado, Claudia Soares, Alessandra Micheletti
- Published: 17 Jun 2024, Last Modified: 13 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Topological and Dynamical Representations for Radio Frequency Signal Classification
Tegan Emerson, Timothy Doster, Colin C Olson, Audun Myers
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
On the Matter of Embeddings Dispersion on Hyperspheres
Evgeniia Tokarchuk, Hua Chang Bakker, Vlad Niculae
- Published: 17 Jun 2024, Last Modified: 10 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Invertible Temper Modeling using Normalizing Flows and the Effects of Structure Preserving Loss
Tegan Emerson, Henry Kvinge, Keerti Sahithi Kappagantula, Sylvia Howland
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
What Makes a Machine Learning Task a Good Candidate for an Equivariant Network?
Scott Mahan, Davis Brown, Timothy Doster, Henry Kvinge
- Published: 17 Jun 2024, Last Modified: 11 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Learning symmetries via weight-sharing with doubly stochastic tensors
Putri A Van der Linden, Alejandro García Castellanos, Sharvaree Vadgama, Thijs P. Kuipers, Erik J Bekkers
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
SINR: Equivariant Neural Vector Fields
David Ruhe, Patrick Forré
- Published: 17 Jun 2024, Last Modified: 12 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Geometric Wireless Simulation with Equivariant Transformers
Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer
- Published: 17 Jun 2024, Last Modified: 11 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone
Geometry-informed Neural Networks
Arturs Berzins, Andreas Radler, Sebastian Sanokowski, Sepp Hochreiter, Johannes Brandstetter
- Published: 17 Jun 2024, Last Modified: 10 Jul 2024
- ICML 2024 Workshop GRaM
- Readers: Everyone