 Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal TransportInternational Conference on Learning Representations (ICLR), 2024 |
 Estimating Barycenters of Distributions with Neural Optimal TransportInternational Conference on Machine Learning (ICML), 2024 |
 Nonlinear Filtering with Brenier Optimal Transport MapsInternational Conference on Machine Learning (ICML), 2023 |
 Energy-Guided Continuous Entropic Barycenter Estimation for General CostsNeural Information Processing Systems (NeurIPS), 2023 |
 Recent Advances in Optimal Transport for Machine LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 |
 Building the Bridge of Schrödinger: A Continuous Entropic Optimal
Transport BenchmarkNeural Information Processing Systems (NeurIPS), 2023 |
 Generating Synthetic Datasets by Interpolating along Generalized
GeodesicsConference on Uncertainty in Artificial Intelligence (UAI), 2023 |
 Tree-Based Diffusion Schrödinger Bridge with Applications to
Wasserstein BarycentersNeural Information Processing Systems (NeurIPS), 2023 |
 Computing high-dimensional optimal transport by flow neural networksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Scalable Optimal Transport Methods in Machine Learning: A Contemporary
SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 |
 Energy-guided Entropic Neural Optimal TransportInternational Conference on Learning Representations (ICLR), 2023 |
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 Light Unbalanced Optimal TransportNeural Information Processing Systems (NeurIPS), 2023 |
 The Monge Gap: A Regularizer to Learn All Transport MapsInternational Conference on Machine Learning (ICML), 2023 |
 Interpolation for Robust Learning: Data Augmentation on Wasserstein
GeodesicsInternational Conference on Machine Learning (ICML), 2023 |
 On amortizing convex conjugates for optimal transportInternational Conference on Learning Representations (ICLR), 2022 |
 Curriculum Reinforcement Learning using Optimal Transport via Gradual
Domain AdaptationNeural Information Processing Systems (NeurIPS), 2022 |
 Supervised Training of Conditional Monge MapsNeural Information Processing Systems (NeurIPS), 2022 |
 Wasserstein Iterative Networks for Barycenter EstimationNeural Information Processing Systems (NeurIPS), 2022 |
 Neural Optimal TransportInternational Conference on Learning Representations (ICLR), 2022 |
 Variational Wasserstein gradient flowInternational Conference on Machine Learning (ICML), 2021 |
 Variational Wasserstein Barycenters with c-Cyclical MonotonicityAAAI Conference on Artificial Intelligence (AAAI), 2021 |
 Score-based Generative Neural Networks for Large-Scale Optimal TransportNeural Information Processing Systems (NeurIPS), 2021 |
 Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2
BenchmarkNeural Information Processing Systems (NeurIPS), 2021 |
 Large-Scale Wasserstein Gradient FlowsNeural Information Processing Systems (NeurIPS), 2021 |
 Iterative Alignment FlowsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 |
 Learning to Generate Wasserstein BarycentersJournal of Mathematical Imaging and Vision (JMIV), 2021 |
 Continuous Wasserstein-2 Barycenter Estimation without Minimax
OptimizationInternational Conference on Learning Representations (ICLR), 2021 |
