Cover Image

Sliced-Wasserstein-based Anomaly Detection and Open Dataset for Localized Critical Peak Rebates

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pallage, Julien, Scherrer, Bertrand, Naccache, Salma, Bélanger, Christophe, Lesage-Landry, Antoine
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sliced-Wasserstein Distance-based Data Selection
by: Pallage, Julien, et al.
Published: (2025)

Wasserstein Distributionally Robust Shallow Convex Neural Networks
by: Pallage, Julien, et al.
Published: (2024)

Online Dynamic Submodular Optimization
by: Lesage-Landry, Antoine, et al.
Published: (2023)

Simulation of a closed-loop dc-dc converter using a physics-informed neural network-based model
by: Coulombe, Marc-Antoine, et al.
Published: (2025)

Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis
by: Vauthier, Christophe, et al.
Published: (2025)

Federated Learning for UAV-Based Spectrum Sensing: Enhancing Accuracy Through SNR-Weighted Model Aggregation
by: Tekbıyık, Kürşat, et al.
Published: (2024)

Efficient Data-Driven MPC for Demand Response of Commercial Buildings
by: Paré, Marie-Christine, et al.
Published: (2024)

PIKAN: Physics-Inspired Kolmogorov-Arnold Networks for Explainable UAV Channel Modelling
by: Tekbıyık, Kürşat, et al.
Published: (2025)

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
by: Bonet, Clément, et al.
Published: (2025)

Differentiable Generalized Sliced Wasserstein Plans
by: Chapel, Laetitia, et al.
Published: (2025)

Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
by: Nguyen, Khai, et al.
Published: (2025)

Fourier Sliced-Wasserstein Embedding for Multisets and Measures
by: Amir, Tal, et al.
Published: (2024)

Differentially Private Gradient Flow based on the Sliced Wasserstein Distance
by: Sebag, Ilana, et al.
Published: (2023)

Spherical Tree-Sliced Wasserstein Distance
by: Tran, Viet-Hoang, et al.
Published: (2025)

Slicing the Gaussian Mixture Wasserstein Distance
by: Piening, Moritz, et al.
Published: (2025)

Towards Marginal Fairness Sliced Wasserstein Barycenter
by: Nguyen, Khai, et al.
Published: (2024)

Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds
by: Bonet, Clément, et al.
Published: (2024)

Markovian Sliced Wasserstein Distances: Beyond Independent Projections
by: Nguyen, Khai, et al.
Published: (2023)

Properties of Discrete Sliced Wasserstein Losses
by: Tanguy, Eloi, et al.
Published: (2023)

Slicing Wasserstein Over Wasserstein Via Functional Optimal Transport
by: Piening, Moritz, et al.
Published: (2025)

Sliced Inner Product Gromov-Wasserstein Distances
by: Gong, Xiaoyun, et al.
Published: (2026)

Fourier Sliced-Wasserstein Embedding for Multisets and Measures
by: Amir, Tal, et al.
Published: (2025)

Tree-Sliced Wasserstein Distance with Nonlinear Projection
by: Tran, Thanh, et al.
Published: (2025)

Distance-Based Tree-Sliced Wasserstein Distance
by: Tran, Hoang V., et al.
Published: (2025)

Constrained Sliced Wasserstein Embedding
by: NaderiAlizadeh, Navid, et al.
Published: (2025)

Quasi-Monte Carlo for 3D Sliced Wasserstein
by: Nguyen, Khai, et al.
Published: (2023)

Energy-Based Sliced Wasserstein Distance
by: Nguyen, Khai, et al.
Published: (2023)

Sliced Wasserstein Estimation with Control Variates
by: Nguyen, Khai, et al.
Published: (2023)

Tree-Sliced Wasserstein Distance: A Geometric Perspective
by: Tran, Viet-Hoang, et al.
Published: (2024)

A Novel Sliced Fused Gromov-Wasserstein Distance
by: Piening, Moritz, et al.
Published: (2025)

Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels
by: Perez, Raphaël Carpintero, et al.
Published: (2024)

Learning with Differentially Private (Sliced) Wasserstein Gradients
by: Rodríguez-Vítores, David, et al.
Published: (2025)

Sliced Wasserstein Steering between Gaussian Measures
by: Ito, Kaito, et al.
Published: (2026)

Stereographic Spherical Sliced Wasserstein Distances
by: Tran, Huy, et al.
Published: (2024)

Min Generalized Sliced Gromov Wasserstein: A Scalable Path to Gromov Wasserstein
by: Shahbazi, Ashkan, et al.
Published: (2026)

Minimax-Optimal Two-Sample Test with Sliced Wasserstein
by: Tran, Binh Thuan, et al.
Published: (2025)

PUL-Inter-slice Defender: An Anomaly Detection Solution for Distributed Slice Mobility Attacks
by: Molina, Ricardo Misael Ayala, et al.
Published: (2025)

Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation
by: Montesuma, Eduardo Fernandes, et al.
Published: (2024)

Understanding Learning with Sliced-Wasserstein Requires Rethinking Informative Slices
by: Tran, Huy, et al.
Published: (2024)

Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
by: Wang, Jie, et al.
Published: (2024)