Cover Image

Tree-Sliced Wasserstein Distance with Nonlinear Projection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tran, Thanh, Tran, Viet-Hoang, Chu, Thanh, Pham, Trang, Ghaoui, Laurent El, Le, Tam, Nguyen, Tan M.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

Revisiting LARS for Large Batch Training Generalization of Neural Networks
by: Do, Khoi, et al.
Published: (2023)

Sliced Wasserstein with Random-Path Projecting Directions
by: Nguyen, Khai, et al.
Published: (2024)

Scaling Text2SQL via LLM-efficient Schema Filtering with Functional Dependency Graph Rerankers
by: Hoang, Thanh Dat, et al.
Published: (2025)

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

The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis
by: Pham, Hoang, et al.
Published: (2025)

Using Synthetic Data to estimate the True Error is theoretically and practically doable
by: Thanh, Hai Hoang, et al.
Published: (2025)

A Survey of Machine Unlearning
by: Nguyen, Thanh Tam, et al.
Published: (2022)

Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting
by: Tran, Nhat Thanh, et al.
Published: (2023)

A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures
by: Nguyen, Thanh Tam, et al.
Published: (2024)

Cost-Effective Model Evaluation with Meta-Learning
by: Pham, Trinh, et al.
Published: (2026)

Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
by: Nguyen, Duong M., et al.
Published: (2025)

Heterogeneous Hypergraph Embedding for Recommendation Systems
by: Sakong, Darnbi, et al.
Published: (2024)

Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
by: Nguyen, Khai, et al.
Published: (2025)

Hybrid Cross-domain Robust Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025)

Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era
by: Nguyen, Thanh Tam, et al.
Published: (2024)

Evidence-based Distributional Alignment for Large Language Models
by: Pham, Viet-Thanh, et al.
Published: (2026)

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

Identifying the Best Arm in the Presence of Global Environment Shifts
by: Srisawad, Phurinut, et al.
Published: (2024)

Learning to Stop Overthinking at Test Time
by: Bao, Hieu Tran, et al.
Published: (2025)

Right Reward Right Time for Federated Learning
by: Nguyen, Thanh Linh, et al.
Published: (2025)

DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025)

MisoDICE: Multi-Agent Imitation from Unlabeled Mixed-Quality Demonstrations
by: Bui, The Viet, et al.
Published: (2025)

Filter then Attend: Improving attention-based Time Series Forecasting with Spectral Filtering
by: Dayag, Elisha, et al.
Published: (2025)

Semi-Markov Reinforcement Learning for City-Scale EV Ride-Hailing with Feasibility-Guaranteed Actions
by: Nguyen, An, et al.
Published: (2026)

A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning
by: Nguyen, Thanh Linh, et al.
Published: (2025)

Modeling Expert Interactions in Sparse Mixture of Experts via Graph Structures
by: Nguyen-Nhat, Minh-Khoi, et al.
Published: (2025)

Empowering Contrastive Federated Sequential Recommendation with LLMs
by: Nguyen, Thi Minh Chau, et al.
Published: (2026)

Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience
by: Huynh, Thanh Trung, et al.
Published: (2024)

Handling Heterophily in Recommender Systems with Wavelet Hypergraph Diffusion
by: Sakong, Darnbi, et al.
Published: (2025)

Enhancing Time Series Forecasting via a Parallel Hybridization of ARIMA and Polynomial Classifiers
by: Nguyen, Thanh Son, et al.
Published: (2025)

MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecasting
by: Nguyen, Thang, et al.
Published: (2024)

How Transformers Learn In-Context Recall Tasks? Optimality, Training Dynamics and Generalization
by: Nguyen, Quan, et al.
Published: (2025)

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data
by: Vu, Hoang-Dieu, et al.
Published: (2025)

Resolve Highway Conflict in Multi-Autonomous Vehicle Controls with Local State Attention
by: Ta, Xuan Duy, et al.
Published: (2025)

The Extrapolation Power of Implicit Models
by: Decugis, Juliette, et al.
Published: (2024)

AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentation
by: Nguyen, Viet-Thanh, et al.
Published: (2024)

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