Fourier Sliced-Wasserstein Embedding for Multisets and Measures
Fuente:
arXiv
Saved in:
| Main Authors: | Amir, Tal, Dym, Nadav |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fourier Sliced-Wasserstein Embedding for Multisets and Measures
by: Amir, Tal, et al.
Published: (2024)
by: Amir, Tal, et al.
Published: (2024)
Short-Range Oversquashing
by: Mishayev, Yaaqov, et al.
Published: (2025)
by: Mishayev, Yaaqov, et al.
Published: (2025)
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
by: Sverdlov, Yonatan, et al.
Published: (2024)
by: Sverdlov, Yonatan, et al.
Published: (2024)
On the Hölder Stability of Multiset and Graph Neural Networks
by: Davidson, Yair, et al.
Published: (2024)
by: Davidson, Yair, et al.
Published: (2024)
On the (Non) Injectivity of Piecewise Linear Janossy Pooling
by: Reshef, Ilai, et al.
Published: (2025)
by: Reshef, Ilai, et al.
Published: (2025)
On the Expressive Power of Sparse Geometric MPNNs
by: Sverdlov, Yonatan, et al.
Published: (2024)
by: Sverdlov, Yonatan, et al.
Published: (2024)
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations
by: Sverdlov, Yonatan, et al.
Published: (2024)
by: Sverdlov, Yonatan, et al.
Published: (2024)
Weisfeiler Leman for Euclidean Equivariant Machine Learning
by: Hordan, Snir, et al.
Published: (2024)
by: Hordan, Snir, et al.
Published: (2024)
Constrained Sliced Wasserstein Embedding
by: NaderiAlizadeh, Navid, et al.
Published: (2025)
by: NaderiAlizadeh, Navid, et al.
Published: (2025)
Monotone and Separable Set Functions: Characterizations and Neural Models
by: Sarangi, Soutrik, et al.
Published: (2025)
by: Sarangi, Soutrik, et al.
Published: (2025)
When and How to Canonize: A Generalization Perspective
by: Sverdlov, Yonatan, et al.
Published: (2026)
by: Sverdlov, Yonatan, et al.
Published: (2026)
Spherical Tree-Sliced Wasserstein Distance
by: Tran, Viet-Hoang, et al.
Published: (2025)
by: Tran, Viet-Hoang, et al.
Published: (2025)
Transport, Don't Generate: Deterministic Geometric Flows for Combinatorial Optimization
by: Friedmann, Benjy, et al.
Published: (2026)
by: Friedmann, Benjy, et al.
Published: (2026)
Tree-Sliced Wasserstein Distance with Nonlinear Projection
by: Tran, Thanh, et al.
Published: (2025)
by: Tran, Thanh, et al.
Published: (2025)
Distance-Based Tree-Sliced Wasserstein Distance
by: Tran, Hoang V., et al.
Published: (2025)
by: Tran, Hoang V., et al.
Published: (2025)
Tree-Sliced Wasserstein Distance: A Geometric Perspective
by: Tran, Viet-Hoang, et al.
Published: (2024)
by: Tran, Viet-Hoang, et al.
Published: (2024)
Complete Neural Networks for Complete Euclidean Graphs
by: Hordan, Snir, et al.
Published: (2023)
by: Hordan, Snir, et al.
Published: (2023)
Learning with Differentially Private (Sliced) Wasserstein Gradients
by: Rodríguez-Vítores, David, et al.
Published: (2025)
by: Rodríguez-Vítores, David, et al.
Published: (2025)
Stereographic Spherical Sliced Wasserstein Distances
by: Tran, Huy, et al.
Published: (2024)
by: Tran, Huy, et al.
Published: (2024)
S2WTM: Spherical Sliced-Wasserstein Autoencoder for Topic Modeling
by: Adhya, Suman, et al.
Published: (2025)
by: Adhya, Suman, et al.
Published: (2025)
Sliced Wasserstein with Random-Path Projecting Directions
by: Nguyen, Khai, et al.
Published: (2024)
by: Nguyen, Khai, et al.
Published: (2024)
Understanding Learning with Sliced-Wasserstein Requires Rethinking Informative Slices
by: Tran, Huy, et al.
Published: (2024)
by: Tran, Huy, et al.
Published: (2024)
Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning
by: Luong, Manh, et al.
Published: (2025)
by: Luong, Manh, et al.
Published: (2025)
SliceMoE: Routing Embedding Slices Instead of Tokens for Fine-Grained and Balanced Transformer Scaling
by: Vejendla, Harshil
Published: (2025)
by: Vejendla, Harshil
Published: (2025)
Measuring Time-Series Dataset Similarity using Wasserstein Distance
by: Chen, Hongjie, et al.
Published: (2025)
by: Chen, Hongjie, et al.
Published: (2025)
Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learning
by: Cohen, Nadav, et al.
Published: (2024)
by: Cohen, Nadav, et al.
Published: (2024)
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
by: Nguyen, Khai, et al.
Published: (2024)
by: Nguyen, Khai, et al.
Published: (2024)
Wasserstein Policy Optimization
by: Pfau, David, et al.
Published: (2025)
by: Pfau, David, et al.
Published: (2025)
Private Wasserstein Distance
by: Li, Wenqian, et al.
Published: (2024)
by: Li, Wenqian, et al.
Published: (2024)
Active Slice Discovery in Large Language Models
by: Zhang, Minhui, et al.
Published: (2025)
by: Zhang, Minhui, et al.
Published: (2025)
Amortized Optimal Transport from Sliced Potentials
by: Truong, Minh-Phuc, et al.
Published: (2026)
by: Truong, Minh-Phuc, et al.
Published: (2026)
DeciMamba: Exploring the Length Extrapolation Potential of Mamba
by: Ben-Kish, Assaf, et al.
Published: (2024)
by: Ben-Kish, Assaf, et al.
Published: (2024)
Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound
by: Fiskus, Tal, et al.
Published: (2025)
by: Fiskus, Tal, et al.
Published: (2025)
Wasserstein Distances, Neuronal Entanglement, and Sparsity
by: Sawmya, Shashata, et al.
Published: (2024)
by: Sawmya, Shashata, et al.
Published: (2024)
Canonical Variates in Wasserstein Metric Space
by: Li, Jia, et al.
Published: (2024)
by: Li, Jia, et al.
Published: (2024)
DSF-GAN: DownStream Feedback Generative Adversarial Network
by: Perets, Oriel, et al.
Published: (2024)
by: Perets, Oriel, et al.
Published: (2024)
Bures-Wasserstein Flow Matching for Graph Generation
by: Jiang, Keyue, et al.
Published: (2025)
by: Jiang, Keyue, et al.
Published: (2025)
Graph data augmentation with Gromow-Wasserstein Barycenters
by: Ponti, Andrea
Published: (2024)
by: Ponti, Andrea
Published: (2024)
On the Wasserstein Gradient Flow Interpretation of Drifting Models
by: Gretton, Arthur, et al.
Published: (2026)
by: Gretton, Arthur, et al.
Published: (2026)
Downscaling Extreme Precipitation with Wasserstein Regularized Diffusion
by: Liu, Yuhao, et al.
Published: (2024)
by: Liu, Yuhao, et al.
Published: (2024)
Similar Items
-
Fourier Sliced-Wasserstein Embedding for Multisets and Measures
by: Amir, Tal, et al.
Published: (2024) -
Short-Range Oversquashing
by: Mishayev, Yaaqov, et al.
Published: (2025) -
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
by: Sverdlov, Yonatan, et al.
Published: (2024) -
On the Hölder Stability of Multiset and Graph Neural Networks
by: Davidson, Yair, et al.
Published: (2024) -
On the (Non) Injectivity of Piecewise Linear Janossy Pooling
by: Reshef, Ilai, et al.
Published: (2025)