wasserstein distance

417 papers

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Also known as

TW W2 W2 OR WD SW W WASSERSTEIN W1 WD WGAN WGAN-GP

Co-occurring keywords

optimal transport (945) generative adversarial network (1939) distributionally robust optimization (183) generative model (2889) domain adaptation (4578) generalization bound (649) image generation (2069) markov chain monte carlo (724) neural network (6616) variational inference (2069)

Papers

Wasserstein-Aware Transfer: Class-Level Alignment for Robust Diffusion Model Adaptation AAAI 2026

On the Information Processing of One-Dimensional Wasserstein Distances with Finite Samples AAAI 2026

Bidirectional Noise Injection: Enhancing Diffusion Models via Coordinated Input-Output Perturbation AAAI 2026

Fair Bayesian Data Selection via Generalized Discrepancy Measures AAAI 2026

MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models AAAI 2026

Wasserstein F-tests for Frechet regression on Bures-Wasserstein manifolds JMLR 2025

KGE Calibrator: An Efficient Probability Calibration Method of Knowledge Graph Embedding Models for Trustworthy Link Prediction EMNLP 2025

Uncertainty-aware Knowledge Tracing AAAI 2025

Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching JMLR 2025

Multimodal Variational Autoencoder: A Barycentric View AAAI 2025

On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension JMLR 2025

Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognition EMNLP 2025

Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds JMLR 2025

S2WTM: Spherical Sliced-Wasserstein Autoencoder for Topic Modeling ACL 2025

Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport ACL 2025

WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization AAAI 2025

Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis IJCAI 2025

Unified Graph Neural Networks Pre-training for Multi-domain Graphs AAAI 2025

How Persuasive Is Your Context? EMNLP 2025

Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing AAAI 2025

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction AAAI 2025

Towards Optimal Evaluation Efficiency for Large Language Models EMNLP 2025

Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization ICLR 2025

Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance EMNLP 2025

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport ACL 2025