Showing 1–20 of 23 results
/ Date/ Name
Oct 4, 2023Analyzing and Improving Optimal-Transport-based Adversarial NetworksOct 4, 2024Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal TransportFeb 7, 2025Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport PlanFeb 4, 2026Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss DesignMay 24, 2023Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal TransportFeb 2, 2023Learning PDE Solution Operator for Continuous Modeling of Time-SeriesJun 27, 2025Adjoint Schrödinger Bridge SamplerFeb 4, 2026QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuningFeb 20, 2023Restoration based Generative ModelsFeb 4, 2026Generalized Schrödinger Bridge on GraphsJun 22, 2025Non-equilibrium Annealed Adjoint SamplerFeb 9, 2026Discrete Adjoint Schrödinger Bridge SamplerFeb 8, 2024Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal TransportOct 3, 2024Scalable Simulation-free Entropic Unbalanced Optimal TransportOct 3, 2024Improving Neural Optimal Transport via Displacement InterpolationOct 3, 2024Unsupervised Point Cloud Completion through Unbalanced Optimal TransportOct 4, 2025Proximal Diffusion Neural SamplerAug 14, 2025MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal ControlNov 25, 2025MFM-point: Multi-scale Flow Matching for Point Cloud GenerationFeb 17, 2026Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching