Le Thanh Tam ＬｅＴｈａｎｈＴａｍ

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Le Tam Le ThanhTam

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Researcher Number	00793100
Other IDs
Affiliation (Current)	2026: 統計数理研究所, 先端データサイエンス研究系, 助教
Affiliation (based on the past Project Information) *help	2023 – 2024: 統計数理研究所, 先端データサイエンス研究系, 助教 2022: 統計数理研究所, 数理・推論研究系, 助教 2021: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 研究員 2017 – 2020: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 特別研究員
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related / Intelligent informatics
Keywords	Principal Investigator Tree-Wasserstein / Optimal transport / Sobolev transport / large-scale applications / local structures / Scalability / Counterfactual / Robust optimal transport / Uncertainty sets / Sliced-Wasserstein … More / LLM pretraining / data valuation / measures on graph / Sobolev IPM / Orlicz geometry / tree system / tree-sliced-Wasserstein / Optimal transport (OT) / OT-based robustness / tree / graph structure / Scalable approach / Probability measures / optimal transport / curved space / gradient flow / Sobolev constraint / graph structure / unbalanced measures / measures on a graph / Optimal Alignment / Graph metric / Tree metric / (unbalanced) measures / Optimal Transport / Gromov-Wasserstein / Partial transport / 機械学習 / Riemannian manifold / Safe screening / Algebraic topology / Kernel methods / Tree Wasserstein / Geometrical data / Tree structure / Topological data / Geometric data / Model selection / Safe grid search / Kernel / Fisher information / probability measures / models with complex data / safe screening / model selection Less

Research Projects
(3 results)
Research Products
(51 results)

Local Structure-based Optimal Transport for Large-Scale ApplicationsPrincipal Investigator
- Principal Investigator
  
  Le ThanhTam
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  The Institute of Statistical Mathematics
On Scalability of Optimal Transport for Large-Scale ApplicationsPrincipal Investigator
- Principal Investigator
  
  LE Thanh Tam
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  The Institute of Statistical Mathematics
  Institute of Physical and Chemical Research
Approximate Model Selection with GuaranteesPrincipal Investigator
- Principal Investigator
  
  Le Tam
- Project Period (FY)
  2017 – 2019
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  Institute of Physical and Chemical Research

All 2025 2024 2023 2022 2021 2020 2019 2018

All Journal Article Presentation

[Journal Article] Scalable Sobolev IPM for Probability Measures on a Graph2025
- Author(s)
  Tam Le*, Truyen Nguyen*, Hideitsu Hino, Kenji Fukumizu
- Journal Title
  
  International Conference on Machine Learning (ICML) (to appear)
  
  Volume: N/A
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Journal Article] Tree-Sliced Wasserstein Distance with Nonlinear Projection2025
- Author(s)
  Thanh Tran*, Hoang V. Tran*, Thanh Chu, Trang Pham, Laurent El Ghaoui**, Tam Le**, Tan M. Nguyen**
- Journal Title
  
  International Conference on Machine Learning (ICML) (to appear)
  
  Volume: N/A
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Journal Article] SAVA: Scalable Learning-Agnostic Data Valuation2025
- Author(s)
  Samuel Kessler*, Tam Le*, Vu Nguyen
- Journal Title
  
  International Conference on Learning Representation (ICLR)
  
  Volume: N/A
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Journal Article] Spherical Tree-Sliced Wasserstein Distance2025
- Author(s)
  Hoang V. Tran*, Thanh Chu*, Khoi Nguyen, Trang Pham, Tam Le**, Tan M. Nguyen**
- Journal Title
  
  International Conference on Learning Representation (ICLR)
  
  Volume: N/A
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Journal Article] Distance-Based Tree-Sliced Wasserstein Distance2025
- Author(s)
  Hoang V. Tran*, Khoi Nguyen*, Trang Pham, Thanh Chu, Tam Le**, Tan M. Nguyen**
- Journal Title
  
  International Conference on Learning Representation (ICLR)
  
  Volume: N/A
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Journal Article] Few-shot object detection via synthetic features with optimal transport2025
- Author(s)
  Anh Khoa Nguyen Vu, Thanh-Toan Do, Vinh-Tiep Nguyen, Tam Le, Minh-Triet Tran, Tam V. Nguyen
- Journal Title
  
  Computer Vision and Image Understanding
  
  Volume: 257 Pages: 104350-104350
- DOI
  10.1016/j.cviu.2025.104350
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Journal Article] Tree-Sliced Wasserstein Distance: A Geometric Perspective2025
- Author(s)
  Hoang V. Tran*, Trang Pham*, Tho Tran, Khoi Nguyen, Thanh Chu, Tam Le**, Tan M. Nguyen**
- Journal Title
  
  International Conference on Machine Learning (ICML) (to appear)
  
  Volume: N/A
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Journal Article] Optimal Transport for Measures with Noisy Tree Metric2024
- Author(s)
  Tam Le, Truyen Nguyen, Kenji Fukumizu
- Journal Title
  
  International Conference on Artificial Intelligence and Statistics (AISTATS)
  
  Volume: N/A Pages: 3115-3123
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Journal Article] Scalable Counterfactual Distribution Estimation in Multivariate Causal Models2024
- Author(s)
  Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le
- Journal Title
  
  Conference on Causal Learning and Reasoning (CLeaR)
  
  Volume: N/A Pages: 1118-1140
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Journal Article] Sliced Wasserstein with Random-Path Projecting Directions2024
- Author(s)
  Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho
- Journal Title
  
  International Conference on Machine Learning (ICML) (to appear)
  
  Volume: N/A
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Journal Article] Sliced Wasserstein with Random-Path Projecting Directions2024
- Author(s)
  Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho
- Journal Title
  
  International Conference on Machine Learning (ICML)
  
  Volume: N/A
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Journal Article] Generalized Sobolev Transport for Probability Measures on a Graph2024
- Author(s)
  Tam Le*, Truyen Nguyen*, Kenji Fukumizu
- Journal Title
  
  International Conference on Machine Learning (ICML) (to appear)
  
  Volume: N/A
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Journal Article] Generalized Sobolev Transport for Probability Measures on a Graph2024
- Author(s)
  Tam Le*, Truyen Nguyen*, Kenji Fukumizu
- Journal Title
  
  International Conference on Machine Learning (ICML)
  
  Volume: N/A
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Journal Article] Scalable Unbalanced Sobolev Transport for Measures on a Graph2023
- Author(s)
  Tam Le*, Truyen Nguyen*, Kenji Fukumizu
- Journal Title
  
  International Conference on Artificial Intelligence and Statistics (AISTATS)
  
  Volume: N/A Pages: 8521-8560
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Journal Article] Scalable Unbalanced Sobolev Transport for Measures on a Graph2023
- Author(s)
  Tam Le, Truyen Nguyen, Kenji Fukumizu
- Journal Title
  
  International Conference on Artificial Intelligence and Statistics (AISTATS)
  
  Volume: PMLR 206 Pages: 8521-8560
- Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19873
[Journal Article] Dynamic Flows on Curved Space Generated by Labeled Data2023
- Author(s)
  Xinru Hua, Truyen Nguyen, Tam Le, Jose Blanchet, Viet Anh Nguyen
- Journal Title
  
  International Joint Conference on Artificial Intelligence (IJCAI)
  
  Volume: N/A
- Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19873
[Journal Article] Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics2022
- Author(s)
  Tam Le*, Truyen Nguyen*, Dinh Phung, Viet Anh Nguyen
- Journal Title
  
  International Conference on Artificial Intelligence and Statistics (AISTATS)
  
  Volume: 1
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19873
[Journal Article] Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search2021
- Author(s)
  Vu Nguyen*, Tam Le*, Makoto Yamada, Michael A. Osborne
- Journal Title
  
  International Conference on Machine Learning (ICML)
  
  Volume: 1 Pages: 8084-8095
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19873
[Journal Article] LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport2021
- Author(s)
  Yanbin Liu*, Makoto Yamada*, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang
- Journal Title
  
  European Conference on Machine Learning and Principles & Practice of Knowledge Discovery in Databases (ECML-PKDD)
  
  Volume: 1
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19873
[Journal Article] Adversarial Regression with Doubly Non-negative Weighting Matrices2021
- Author(s)
  Tam Le*, Truyen Nguyen*, Makoto Yamada, Jose Blanchet, Viet Anh Nguyen
- Journal Title
  
  Neural Information Processing Systems (NeurIPS)
  
  Volume: 1
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19873
[Journal Article] Point-set Distances for Learning Representations of 3D Point Clouds2021
- Author(s)
  Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua
- Journal Title
  
  International Conference on Computer Vision (ICCV)
  
  Volume: 1 Pages: 10478-10487
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19873
[Presentation] Spherical Tree-Sliced Wasserstein Distance2025
- Author(s)
  Hoang V. Tran*, Thanh Chu*, Khoi Nguyen, Trang Pham, Tam Le**, Tan M. Nguyen**
- Organizer
  International Conference on Learning Representation (ICLR)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Presentation] Distance-Based Tree-Sliced Wasserstein Distance2025
- Author(s)
  Hoang V. Tran*, Khoi Nguyen*, Trang Pham, Thanh Chu, Tam Le**, Tan M. Nguyen**
- Organizer
  International Conference on Learning Representation (ICLR)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Presentation] SAVA: Scalable Learning-Agnostic Data Valuation2025
- Author(s)
  Samuel Kessler*, Tam Le*, Vu Nguyen
- Organizer
  International Conference on Learning Representation (ICLR)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Presentation] Generalized Sobolev Transport for Probability Measures on a Graph2024
- Author(s)
  Tam Le*, Truyen Nguyen*, Kenji Fukumizu
- Organizer
  International Conference on Machine Learning (ICML)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Presentation] Local Structures for Large-Scale Optimal Transport,2024
- Author(s)
  Tam Le
- Organizer
  The Mathematics of Data program - Workshop on Optimal Transport and PDEs, IMS, NUS, Singapore.
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Presentation] Sliced Wasserstein with Random-Path Projecting Directions2024
- Author(s)
  Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho
- Organizer
  International Conference on Machine Learning (ICML)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Presentation] Scalable Robust Optimal Transport for Measures with Noisy Tree Metric2024
- Author(s)
  Tam Le, Truyen Nguyen, Kenji Fukumizu
- Organizer
  Deep Learning: Theory, Applications, and Implications workshop
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Presentation] Optimal Transport for Measures with Noisy Tree Metric2023
- Author(s)
  Tam Le, Truyen Nguyen, Kenji Fukumizu
- Organizer
  NeurIPS workshop: OTML
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Presentation] Scalable Unbalanced Sobolev Transport for Measures on a Graph2023
- Author(s)
  Tam Le*, Truyen Nguyen*, Kenji Fukumizu
- Organizer
  International Conference on Artificial Intelligence and Statistics (AISTATS)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11243
[Presentation] Geometric Approaches for Persistence Diagrams in Topological Data Analysis2022
- Author(s)
  Tam Le
- Organizer
  Asia Pacific Seminar on Applied Topology and Geometry (APATG)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19873
[Presentation] Sobolev Transport: A Scalable Metric for Probability Measures on Graphs2022
- Author(s)
  Tam Le
- Organizer
  Kyoto Machine Learning workshop
- Invited
- Data Source
  KAKENHI-PROJECT-20K19873
[Presentation] Entropy Partial Transport with Tree Metrics: Theory and Practice2021
- Author(s)
  Tam Le*, Truyen Nguyen* (*: equal contribution)
- Organizer
  International Conference on Artificial Intelligence and Statistics (AISTATS)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19873
[Presentation] Flow-based Alignment Approaches for Probability Measures in Different Spaces2021
- Author(s)
  Tam Le*, Nhat Ho*, Makoto Yamada (*: equal contribution)
- Organizer
  International Conference on Artificial Intelligence and Statistics (AISTATS)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19873
[Presentation] On Scalability of Optimal Transport with Tree/Graph metric2021
- Author(s)
  Tam Le
- Organizer
  AAAI workshop (OT-SDM: International Workshop on Optimal Transport and Structured Data Modeling)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19873
[Presentation] Point-set Distances for Learning Representations of 3D Point Clouds2021
- Author(s)
  Trung Nguyen, Quang-Hieu Pham, Tam Le, Nhat Ho, Tung Pham, Binh-Son Hua
- Organizer
  ArXiv
- Data Source
  KAKENHI-PROJECT-20K19873
[Presentation] Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search2021
- Author(s)
  Vu Nguyen*, Tam Le*, Makoto Yamada, Michael A. Osborne (*: equal contribution)
- Organizer
  International Conference on Machine Learning (ICML)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19873
[Presentation] Tree-Wasserstein Barycenter for Large-Scale Multilevel Clustering and Scalable Bayes2021
- Author(s)
  Tam Le*, Viet Huynh*, Nhat Ho*, Dinh Phung, Makoto Yamada (*: equal contribution)
- Organizer
  ArXiv
- Data Source
  KAKENHI-PROJECT-20K19873
[Presentation] Topological Bayesian Optimization with Persistence Diagrams2020
- Author(s)
  Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
- Organizer
  European Conference on Artificial Intelligence (ECAI)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12745
[Presentation] Tree-Sliced Variants of Wasserstein Distances2019
- Author(s)
  Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi
- Organizer
  Advances in Neural Information Processing Systems (NeurIPS/NIPS)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12745
[Presentation] Safe Grid Search with Optimal Complexity2019
- Author(s)
  Eugene Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
- Organizer
  The ACML’2019 RIKEN AIP Workshop
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12745
[Presentation] Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams2019
- Author(s)
  Tam Le, Makoto Yamada
- Organizer
  Korea-Japan Machine Learning workshop
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12745
[Presentation] Topological Bayesian Optimization with Persistence Diagrams2019
- Author(s)
  Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
- Organizer
  ArXiv 1902.09722
- Data Source
  KAKENHI-PROJECT-17K12745
[Presentation] Safe Grid Search with Optimal Complexity2019
- Author(s)
  Eugene Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
- Organizer
  International Conference on Machine Learning (ICML)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12745
[Presentation] Tree-Sliced Approximation of Wasserstein Distances2019
- Author(s)
  Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi
- Organizer
  Korea-Japan Machine Learning workshop
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12745
[Presentation] Safe Grid Search with Optimal Complexity2019
- Author(s)
  Eugene Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
- Organizer
  International Conference on Machine Learning (ICML) (to appear)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12745
[Presentation] Optimal approximation for regularization and validation path2018
- Author(s)
  Eugene Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
- Organizer
  Journees SMAI MODE (France)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12745
[Presentation] GridSearch: Complexite et Garantie pour la Validation (GridSearch: Complexity and Guarantee for Validation)2018
- Author(s)
  Eugene Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
- Organizer
  Conference Sur L'Apprentissage Automatique (CAp)
- Data Source
  KAKENHI-PROJECT-17K12745
[Presentation] Riemannian Manifold Kernel for Persistence Diagrams2018
- Author(s)
  Tam Le, Makoto Yamada
- Organizer
  Transatlantic and Transpacific Workshop on Machine Learning and Discrete Optimization (USA)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12745
[Presentation] Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams2018
- Author(s)
  Tam Le, Makoto Yamada
- Organizer
  Advances in Neural Information Processing Systems (NeurIPS/NIPS)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12745
[Presentation] Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams2018
- Author(s)
  Tam Le, Makoto Yamada
- Organizer
  ICML workshops (Geometry in Machine Learning)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12745

Le Thanh Tam Ｌｅ ＴｈａｎｈＴａｍ

Le Tam Le ThanhTam

Research Projects

Research Products

Local Structure-based Optimal Transport for Large-Scale ApplicationsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

On Scalability of Optimal Transport for Large-Scale ApplicationsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Approximate Model Selection with GuaranteesPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Scalable Sobolev IPM for Probability Measures on a Graph2025

Author(s)

Journal Title

Data Source

[Journal Article] Tree-Sliced Wasserstein Distance with Nonlinear Projection2025

Author(s)

Journal Title

Data Source

[Journal Article] SAVA: Scalable Learning-Agnostic Data Valuation2025

Author(s)

Journal Title

Data Source

[Journal Article] Spherical Tree-Sliced Wasserstein Distance2025

Author(s)

Journal Title

Data Source

[Journal Article] Distance-Based Tree-Sliced Wasserstein Distance2025

Author(s)

Journal Title

Data Source

[Journal Article] Few-shot object detection via synthetic features with optimal transport2025

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Tree-Sliced Wasserstein Distance: A Geometric Perspective2025

Author(s)

Journal Title

Data Source

[Journal Article] Optimal Transport for Measures with Noisy Tree Metric2024

Author(s)

Journal Title

Data Source

[Journal Article] Scalable Counterfactual Distribution Estimation in Multivariate Causal Models2024

Author(s)

Journal Title

Data Source

[Journal Article] Sliced Wasserstein with Random-Path Projecting Directions2024

Author(s)

Journal Title

Data Source

[Journal Article] Sliced Wasserstein with Random-Path Projecting Directions2024

Author(s)

Journal Title

Data Source

[Journal Article] Generalized Sobolev Transport for Probability Measures on a Graph2024

Author(s)

Journal Title

Data Source

[Journal Article] Generalized Sobolev Transport for Probability Measures on a Graph2024

Author(s)

Journal Title

Data Source

[Journal Article] Scalable Unbalanced Sobolev Transport for Measures on a Graph2023

Author(s)

Journal Title

Data Source

[Journal Article] Scalable Unbalanced Sobolev Transport for Measures on a Graph2023

Le Thanh Tam ＬｅＴｈａｎｈＴａｍ