## Tam Le - Code & DatasetsSobolev Transport. (AISTATS 2022) A scalable variant of optimal transport for probability measures supported on a graph metric space. (i) closed-form expression for fast computation; (ii) negative definite metric which allows to build positive definite kernels.
Adversarial Regression with Doubly Non-negative Weighting Matrices. (NeurIPS 2021) An adversarial regression (e.g., for Nadaraya-Watson, for locally linear regression, for support vector regression). Implemented by TL and Viet Anh Nguyen.
Entropy Partial Transport with Tree Metric. (AISTATS 2021) An unbalanced version of Tree-(Sliced)-Wasserstein for probability measures with different total mass. A valid positive definite kernel for persistence diagrams (which can have different numbers of topological features, e.g., connected components, rings).
Flow-based Alignment Approaches for Probability Measures in Different Spaces. (AISTATS 2021) A variant of Gromov-Wasserstein with tree metrics.
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. (ICML 2021) Implemented by Vu Nguyen. (Partially by TL – tree-Wasserstein for neural networks)
LSMI-Sinkhorn. (ECML-PKDD 2021) Implemented by Yanbin Liu and Makoto Yamada.
Tree-(Sliced)-Wasserstein Distances. (NeurIPS 2019) A Valid Positive Definite Wasserstein Kernel for Persistence Diagrams.
Safe Grid Search with Optimal Complexity. (ICML 2019) Implemented by Eugene Ndiaye.
Persistence Fisher distance with or without Fast Gauss Transform. (NeurIPS/NIPS 2018) Fisher information metric between two persistence diagrams.
Generalized Aitchison Embeddings for Histograms. (ACML 2013 & MLJ 2014) Hierarchical Spatial Matching Kernel for Image Categorization. (ICIAR 2011 & IIEEJ 2013) Realtime traffic sign detection using color and shape-based features. (ACIIDS 2010) Color Training Dataset for Traffic Sign Segmentation. (ACIIDS 2010) Test Dataset for Traffic Sign Detection. (ACIIDS 2010)
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