transport map

LazyDINO: Fast, Scalable, and Efficiently Amortized Bayesian Inversion via Structure-Exploiting and Surrogate-Driven Measure Transport JMLR 2026 Lightweight Optimal-Transport Harmonization on Edge Devices AAAI 2026 Stable Mean Flow: Lyapunov-Inspired One-Step Flow Matching CVPR 2026 Learning Local Neighborhoods of Non-Gaussian Graphical Models AAAI 2025 Optimal Scheduling of Dynamic Transport COLT 2025 Analyzing and Improving Optimal-Transport-based Adversarial Networks ICLR 2024 Improving Hyperbolic Representations via Gromov-Wasserstein Regularization ECCV 2024 Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport JMLR 2024 Neural Optimal Transport with General Cost Functionals ICLR 2024 Progressive Entropic Optimal Transport Solvers NeurIPS 2024 Score Operator Newton transport AISTATS 2024 Multisample Flow Matching: Straightening Flows with Minibatch Couplings ICML 2023 On amortizing convex conjugates for optimal transport ICLR 2023 On Sampling with Approximate Transport Maps ICML 2023 The Monge Gap: A Regularizer to Learn All Transport Maps ICML 2023 Transport Elliptical Slice Sampling AISTATS 2023 Transport Reversible Jump Proposals AISTATS 2023 Debiaser Beware: Pitfalls of Centering Regularized Transport Maps ICML 2022 Learning Optimal Flows for Non-Equilibrium Importance Sampling NeurIPS 2022 Supervised Training of Conditional Monge Maps NeurIPS 2022 Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark NeurIPS 2021 CO-Optimal Transport NeurIPS 2020 Greedy inference with structure-exploiting lazy maps NeurIPS 2020 Statistical Optimal Transport posed as Learning Kernel Embedding NeurIPS 2020 Tails of Lipschitz Triangular Flows ICML 2020