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 Manifold learning in metric spacesApplied and Computational Harmonic Analysis (ACHA), 2025 |
 Privacy without Noisy Gradients: Slicing Mechanism for Generative Model
TrainingNeural Information Processing Systems (NeurIPS), 2024 |
 Expected Sliced Transport PlansInternational Conference on Learning Representations (ICLR), 2024 |
 Learning Diffusion Priors from Observations by Expectation MaximizationNeural Information Processing Systems (NeurIPS), 2024 |
 Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman
graph kernelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 |
 Sliced Wasserstein with Random-Path Projecting DirectionsInternational Conference on Machine Learning (ICML), 2024 |
 Distributional Counterfactual Explanations With Optimal TransportInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 |
 A Specialized Semismooth Newton Method for Kernel-Based Optimal
TransportInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 SWAP: Sparse Entropic Wasserstein Regression for Robust Network PruningInternational Conference on Learning Representations (ICLR), 2023 |
 Quasi-Monte Carlo for 3D Sliced WassersteinInternational Conference on Learning Representations (ICLR), 2023 |
 Probabilistic Constrained Reinforcement Learning with Formal
InterpretabilityInternational Conference on Machine Learning (ICML), 2023 |
 Recent Advances in Optimal Transport for Machine LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 |
 Scalable Optimal Transport Methods in Machine Learning: A Contemporary
SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 |
 Sliced Wasserstein Estimation with Control VariatesInternational Conference on Learning Representations (ICLR), 2023 |
 Energy-Based Sliced Wasserstein DistanceNeural Information Processing Systems (NeurIPS), 2023 |
 Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG
SignalsInternational Conference on Machine Learning (ICML), 2023 |
 Scalable Infomin LearningNeural Information Processing Systems (NeurIPS), 2023 |
 Markovian Sliced Wasserstein Distances: Beyond Independent ProjectionsNeural Information Processing Systems (NeurIPS), 2023 |
