 Equivariant Polynomial Functional Networks Thieu N. Vo Viet-Hoang Tran Tho Tran Huu An Nguyen The Thanh Tran Minh-Khoi Nguyen-Nhat Duy-Tung Pham Tan Minh Nguyen |
 Monomial Matrix Group Equivariant Neural Functional NetworksNeural Information Processing Systems (NeurIPS), 2024 |
 Scalable Unbalanced Sobolev Transport for Measures on a GraphInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Sliced Wasserstein Variational InferenceAsian Conference on Machine Learning (ACML), 2022 |
 Spherical Sliced-WassersteinInternational Conference on Learning Representations (ICLR), 2022 |
 Sobolev Transport: A Scalable Metric for Probability Measures with Graph
MetricsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 |
 Low-Rank Sinkhorn FactorizationInternational Conference on Machine Learning (ICML), 2021 |
 E(n) Equivariant Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2021 |
 Entropy Partial Transport with Tree Metrics: Theory and PracticeInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 |
 Bootstrap your own latent: A new approach to self-supervised LearningNeural Information Processing Systems (NeurIPS), 2020 |
 A Simple Framework for Contrastive Learning of Visual RepresentationsInternational Conference on Machine Learning (ICML), 2020 |
 Normalizing Flows on Tori and SpheresInternational Conference on Machine Learning (ICML), 2020 |
 Learning with minibatch Wasserstein : asymptotic and gradient propertiesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 |
 Tree-Sliced Variants of Wasserstein DistancesNeural Information Processing Systems (NeurIPS), 2019 |
 |
 Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
DistancesNeural Information Processing Systems (NeurIPS), 2013 |
