{"total":189,"rows":[{"id":"2201.12220","title":"Neural Optimal Transport","created":"2022-01-28","cited_by_count":126,"area":null},{"id":"2106.01954","title":"Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark","created":"2021-06-03","cited_by_count":96,"area":null},{"id":"2109.12004","title":"Entropic estimation of optimal transport maps","created":"2021-09-24","cited_by_count":90,"area":null},{"id":"2307.03672","title":"Simulation-free Schr\\\"odinger bridges via score and flow matching","created":"2023-07-07","cited_by_count":83,"area":"diffusion"},{"id":"2403.13117","title":"Optimal Flow Matching: Learning Straight Trajectories in Just One Step","created":"2024-03-19","cited_by_count":78,"area":"diffusion"},{"id":"2106.00736","title":"Large-Scale Wasserstein Gradient Flows","created":"2021-06-01","cited_by_count":77,"area":null},{"id":"2101.01792","title":"Minibatch optimal transport distances; analysis and applications","created":"2021-01-05","cited_by_count":65,"area":null},{"id":"1906.08113","title":"Wasserstein Adversarial Imitation Learning","created":"2019-06-19","cited_by_count":60,"area":"offlinerl"},{"id":"2503.18278","title":"TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model","created":"2025-03-24","cited_by_count":57,"area":"mllm"},{"id":"2102.01752","title":"Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization","created":"2021-02-02","cited_by_count":51,"area":null},{"id":"2211.01528","title":"Fair and Optimal Classification via Post-Processing","created":"2022-11-03","cited_by_count":51,"area":null},{"id":"2302.03791","title":"How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control","created":"2023-02-07","cited_by_count":50,"area":"diffusion"},{"id":"2402.03207","title":"Light and Optimal Schr\\\"odinger Bridge Matching","created":"2024-02-05","cited_by_count":45,"area":"diffusion"},{"id":"2106.03812","title":"Neural Monge Map estimation and its applications","created":"2021-06-07","cited_by_count":40,"area":null},{"id":"2106.01098","title":"Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions","created":"2021-06-02","cited_by_count":39,"area":null},{"id":"2109.11926","title":"Sinkhorn Distributionally Robust Optimization","created":"2021-09-24","cited_by_count":38,"area":null},{"id":"2205.15403","title":"Neural Optimal Transport with General Cost Functionals","created":"2022-05-30","cited_by_count":36,"area":null},{"id":"2106.01963","title":"A Survey on Optimal Transport for Machine Learning: Theory and Applications","created":"2021-06-03","cited_by_count":35,"area":null},{"id":"2205.15269","title":"Kernel Neural Optimal Transport","created":"2022-05-30","cited_by_count":31,"area":null},{"id":"2210.12153","title":"On amortizing convex conjugates for optimal transport","created":"2022-10-21","cited_by_count":31,"area":null},{"id":"2305.05080","title":"Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey","created":"2023-05-08","cited_by_count":27,"area":null},{"id":"2304.06094","title":"Energy-guided Entropic Neural Optimal Transport","created":"2023-04-12","cited_by_count":26,"area":null},{"id":"2311.05672","title":"Conditional Optimal Transport on Function Spaces","created":"2023-11-09","cited_by_count":26,"area":null},{"id":"2201.12245","title":"Wasserstein Iterative Networks for Barycenter Estimation","created":"2022-01-28","cited_by_count":23,"area":null},{"id":"2110.07940","title":"Wasserstein Unsupervised Reinforcement Learning","created":"2021-10-15","cited_by_count":22,"area":null},{"id":"2302.05917","title":"Vector Quantized Wasserstein Auto-Encoder","created":"2023-02-12","cited_by_count":22,"area":null},{"id":"2210.13355","title":"Calibration tests beyond classification","created":"2022-10-21","cited_by_count":20,"area":null},{"id":"2212.08049","title":"Sliced Optimal Partial Transport","created":"2022-12-15","cited_by_count":20,"area":null},{"id":"2206.07767","title":"Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?","created":"2022-06-15","cited_by_count":19,"area":null},{"id":"2306.10161","title":"Building the Bridge of Schr\\\"odinger: A Continuous Entropic Optimal Transport Benchmark","created":"2023-06-16","cited_by_count":19,"area":null},{"id":"2310.01174","title":"Light Schr\\\"odinger Bridge","created":"2023-10-02","cited_by_count":18,"area":null},{"id":"2103.12711","title":"A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions","created":"2021-03-23","cited_by_count":17,"area":null},{"id":"2202.01129","title":"Structure-preserving GANs","created":"2022-02-02","cited_by_count":17,"area":null},{"id":"2102.05912","title":"On Transportation of Mini-batches: A Hierarchical Approach","created":"2021-02-11","cited_by_count":16,"area":null},{"id":"2106.05838","title":"Large-scale optimal transport map estimation using projection pursuit","created":"2021-06-09","cited_by_count":16,"area":null},{"id":"2111.06888","title":"Learning Generalized Gumbel-max Causal Mechanisms","created":"2021-11-11","cited_by_count":16,"area":null},{"id":"2101.04039","title":"Smooth $p$-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications","created":"2021-01-11","cited_by_count":15,"area":null},{"id":"2103.06263","title":"Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution","created":"2021-03-10","cited_by_count":13,"area":null},{"id":"2109.12880","title":"Wasserstein Patch Prior for Image Superresolution","created":"2021-09-27","cited_by_count":13,"area":null},{"id":"2308.05414","title":"Unifying Distributionally Robust Optimization via Optimal Transport Theory","created":"2023-08-10","cited_by_count":13,"area":null},{"id":"2509.25519","title":"Flow Matching with Semidiscrete Couplings","created":"2025-09-29","cited_by_count":13,"area":"diffusion"},{"id":"2103.16785","title":"Individually Fair Gradient Boosting","created":"2021-03-31","cited_by_count":12,"area":null},{"id":"2112.01907","title":"Near-optimal estimation of smooth transport maps with kernel sums-of-squares","created":"2021-12-03","cited_by_count":12,"area":null},{"id":"2202.02881","title":"Approximate Policy Iteration with Bisimulation Metrics","created":"2022-02-06","cited_by_count":12,"area":null},{"id":"2205.14977","title":"Fast Nonlinear Vector Quantile Regression","created":"2022-05-30","cited_by_count":12,"area":null},{"id":"2301.12874","title":"Extremal Domain Translation with Neural Optimal Transport","created":"2023-01-30","cited_by_count":12,"area":null},{"id":"2310.01105","title":"Energy-Guided Continuous Entropic Barycenter Estimation for General Costs","created":"2023-10-02","cited_by_count":12,"area":null},{"id":"2107.06876","title":"Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More","created":"2021-07-14","cited_by_count":11,"area":null},{"id":"2203.00553","title":"Global-Local Regularization Via Distributional Robustness","created":"2022-03-01","cited_by_count":11,"area":null},{"id":"2311.01226","title":"Optimal Transport-Guided Conditional Score-Based Diffusion Models","created":"2023-11-02","cited_by_count":11,"area":"diffusion"},{"id":"2401.12253","title":"Accelerating Sinkhorn Algorithm with Sparse Newton Iterations","created":"2024-01-20","cited_by_count":11,"area":null},{"id":"2409.17687","title":"Graph Edit Distance with General Costs Using Neural Set Divergence","created":"2024-09-26","cited_by_count":11,"area":null},{"id":"2101.02084","title":"Fairness with Continuous Optimal Transport","created":"2021-01-06","cited_by_count":10,"area":null},{"id":"2102.02992","title":"Learning High Dimensional Wasserstein Geodesics","created":"2021-02-05","cited_by_count":10,"area":null},{"id":"2105.14403","title":"Re-evaluating Word Mover's Distance","created":"2021-05-30","cited_by_count":10,"area":null},{"id":"2309.08748","title":"Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits","created":"2023-09-15","cited_by_count":10,"area":null},{"id":"2402.03785","title":"Weakly Supervised Anomaly Detection via Knowledge-Data Alignment","created":"2024-02-06","cited_by_count":10,"area":null},{"id":"2112.15265","title":"Entropy Regularized Optimal Transport Independence Criterion","created":"2021-12-31","cited_by_count":9,"area":null},{"id":"2205.15059","title":"Hilbert Curve Projection Distance for Distribution Comparison","created":"2022-05-30","cited_by_count":9,"area":null},{"id":"2206.12116","title":"Approximating 1-Wasserstein Distance with Trees","created":"2022-06-24","cited_by_count":9,"area":null},{"id":"2305.17076","title":"Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models","created":"2023-05-26","cited_by_count":9,"area":null},{"id":"2306.03007","title":"Nonparametric Iterative Machine Teaching","created":"2023-06-05","cited_by_count":9,"area":null},{"id":"2312.16611","title":"Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction","created":"2023-12-27","cited_by_count":9,"area":null},{"id":"2401.14069","title":"Neural Sinkhorn Gradient Flow","created":"2024-01-25","cited_by_count":9,"area":null},{"id":"2210.17230","title":"Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data","created":"2022-10-31","cited_by_count":8,"area":null},{"id":"2311.04041","title":"Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm","created":"2023-11-07","cited_by_count":8,"area":null},{"id":"2102.03895","title":"Functional optimal transport: map estimation and domain adaptation for functional data","created":"2021-02-07","cited_by_count":7,"area":null},{"id":"2112.09754","title":"Discrete Probabilistic Inverse Optimal Transport","created":"2021-12-17","cited_by_count":7,"area":null},{"id":"2206.11386","title":"Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise","created":"2022-06-22","cited_by_count":7,"area":null},{"id":"2301.09675","title":"Improved Rate of First Order Algorithms for Entropic Optimal Transport","created":"2023-01-23","cited_by_count":7,"area":null},{"id":"2505.22049","title":"Differentiable Generalized Sliced Wasserstein Plans","created":"2025-05-28","cited_by_count":7,"area":null},{"id":"2508.09999","title":"XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs","created":"2025-08-04","cited_by_count":7,"area":"mllm"},{"id":"2202.04732","title":"Online Learning to Transport via the Minimal Selection Principle","created":"2022-02-09","cited_by_count":6,"area":null},{"id":"2203.00813","title":"An Accelerated Stochastic Variance-Reduced Algorithm for Entropic Wasserstein Barycenters","created":"2022-03-02","cited_by_count":6,"area":null},{"id":"2211.10420","title":"Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes","created":"2022-11-18","cited_by_count":6,"area":null},{"id":"2303.05978","title":"Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem","created":"2023-03-10","cited_by_count":6,"area":null},{"id":"2306.02565","title":"Coupled Variational Autoencoder","created":"2023-06-05","cited_by_count":6,"area":null},{"id":"2405.19657","title":"Uncertainty-guided Optimal Transport in Depth Supervised Sparse-View 3D Gaussian","created":"2024-05-30","cited_by_count":6,"area":null},{"id":"2406.04056","title":"Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently","created":"2024-06-06","cited_by_count":6,"area":null},{"id":"2110.12678","title":"Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport","created":"2021-10-25","cited_by_count":5,"area":null},{"id":"2201.03202","title":"Differentiable and Scalable Generative Adversarial Models for Data Imputation","created":"2022-01-10","cited_by_count":5,"area":null},{"id":"2205.07521","title":"A scalable deep learning approach for solving high-dimensional dynamic optimal transport","created":"2022-05-16","cited_by_count":5,"area":null},{"id":"2102.05542","title":"On the Existence of Optimal Transport Gradient for Learning Generative Models","created":"2021-02-10","cited_by_count":4,"area":null},{"id":"2103.03892","title":"Set Representation Learning with Generalized Sliced-Wasserstein Embeddings","created":"2021-03-05","cited_by_count":4,"area":null},{"id":"2105.11818","title":"SGD with Coordinate Sampling: Theory and Practice","created":"2021-05-25","cited_by_count":4,"area":null},{"id":"2105.14337","title":"Optimal transport with $f$-divergence regularization and generalized Sinkhorn algorithm","created":"2021-05-29","cited_by_count":4,"area":null},{"id":"2106.00886","title":"Partial Wasserstein Covering","created":"2021-06-02","cited_by_count":4,"area":null},{"id":"2106.01474","title":"Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning","created":"2021-06-02","cited_by_count":4,"area":null},{"id":"2111.00043","title":"Multivariate rank via entropic optimal transport: sample efficiency and generative modeling","created":"2021-10-29","cited_by_count":4,"area":null},{"id":"2112.11928","title":"A Stochastic Bregman Primal-Dual Splitting Algorithm for Composite Optimization","created":"2021-12-22","cited_by_count":4,"area":null},{"id":"2206.12364","title":"On Certifying and Improving Generalization to Unseen Domains","created":"2022-06-24","cited_by_count":4,"area":null},{"id":"2312.01432","title":"Fast Dual Subgradient Optimization of the Integrated Transportation Distance Between Stochastic Kernels","created":"2023-12-03","cited_by_count":4,"area":null},{"id":"2403.00147","title":"Analysis of Kernel Mirror Prox for Measure Optimization","created":"2024-02-29","cited_by_count":4,"area":null},{"id":"2406.10425","title":"Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling","created":"2024-06-14","cited_by_count":4,"area":null},{"id":"2408.13648","title":"Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance","created":"2024-08-24","cited_by_count":4,"area":null},{"id":"2504.12374","title":"Resonances in reflective Hamiltonian Monte Carlo","created":"2025-04-16","cited_by_count":4,"area":null},{"id":"2509.24894","title":"Improved Stochastic Optimization of LogSumExp","created":"2025-09-29","cited_by_count":4,"area":null},{"id":"2601.08011","title":"TP-Blend: Textual-Prompt Attention Pairing for Precise Object-Style Blending in Diffusion Models","created":"2026-01-12","cited_by_count":4,"area":"diffusion"},{"id":"2101.01429","title":"Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings","created":"2021-01-05","cited_by_count":3,"area":null},{"id":"2103.11265","title":"Bayesian Distributional Policy Gradients","created":"2021-03-20","cited_by_count":3,"area":null}],"next_cursor":"100"}