An T. Le

According to our database, An T. Le authored at least 30 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Training Non-Differentiable Networks via Optimal Transport.

An T. Le

CoRR, May, 2026

AAC: Admissible-by-Architecture Differentiable Landmark Compression for ALT.

An T. Le, Vien Ngo

CoRR, April, 2026

ReFineVLA: Multimodal Reasoning-Aware Generalist Robotic Policies via Teacher-Guided Fine-Tuning.

Tuan Van Vo, Tan Q. Nguyen, Khang Nguyen, Nhat Xuan Tran, Duy H. M. Nguyen, An T. Le, Ngo Anh Vien, Minh Nhat Vu

CoRR, April, 2026

StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models.

Duy M. H. Nguyen, Tuan A. Tran, Duong Nguyen, Siwei Xie, Trung Q. Nguyen, Mai T. N. Truong, Daniel Palenicek, An T. Le, Michael Barz, TrungTin Nguyen, Tuan Dam, Ngan Le, Minh Vu, Khoa D. Doan, Ngo Anh Vien, Pengtao Xie, James Zou, Daniel Sonntag, Jan Peters, Mathias Niepert

CoRR, March, 2026

DoublyAware: Dual Planning and Policy Awareness for Temporal Difference Learning in Humanoid Locomotion.

Khang Nguyen, An T. Le, Jan Peters, Minh Nhat Vu

IEEE Robotics Autom. Lett., February, 2026

Observer-robust energy condition verification for warp drive spacetimes.

An T. Le

CoRR, February, 2026

On the rarity of rocket-driven Penrose extraction in Kerr spacetime.

An T. Le

CoRR, January, 2026

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models (Abstract Reprint).

João Carvalho, An Thai Le, Piotr Kicki, Dorothea Koert, Jan Peters

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Global Tensor Motion Planning.

An T. Le, Kay Pompetzki, João Carvalho, Joe Watson, Julen Urain, Armin Biess, Georgia Chalvatzaki, Jan Peters

IEEE Robotics Autom. Lett., July, 2025

TD-GRPC: Temporal Difference Learning with Group Relative Policy Constraint for Humanoid Locomotion.

Khang Nguyen, Khai Nguyen, An T. Le, Jan Peters, Manfred Huber, Ngo Anh Vien, Minh Nhat Vu

CoRR, May, 2025

Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference.

Jiayun Li, Kay Pompetzki, An T. Le, Haolei Tong, Jan Peters, Georgia Chalvatzaki

CoRR, April, 2025

Persistent Homology-induced Graph Ensembles for Time Series Regressions.

Viet The Nguyen, Duy Anh Pham, An Thai Le, Jans Peter, Gunther Gust

CoRR, March, 2025

Tensor Search Methods For Vectorizing Motion Planning.

An T. Le

PhD thesis, 2025

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning With Diffusion Models.

João Carvalho, An T. Le, Piotr Kicki, Dorothea Koert, Jan Peters

IEEE Trans. Robotics, 2025

Machine Learning with Physics Knowledge for Prediction: A Survey.

Joe Watson, Chen Song, Oliver Weeger, Theo Gruner, An Thai Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles D. Cranmer, Carlo D'Eramo, Fabian Bülow, Tanmay Goyal, Jan Peters, Martin W. Hoffmann

Trans. Mach. Learn. Res., 2025

Model Tensor Planning.

An Thai Le, Khai Nguyen, Minh Nhat Vu, Joao Carvalho, Jan Peters

Trans. Mach. Learn. Res., 2025

FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching.

Khang Nguyen, An T. Le, Tien Pham, Manfred Huber, Jan Peters, Minh Nhat Vu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024

Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3.

Joao Carvalho, An T. Le, Philipp Jahr, Qiao Sun, Julen Urain, Dorothea Koert, Jan Peters

CoRR, 2024

Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks.

Duy Minh Ho Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model.

Duy Minh Ho Nguyen, An Thai Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag

Proceedings of the Asian Conference on Machine Learning, 2024

2023

Learning to reason over scene graphs: a case study of finetuning GPT-2 into a robot language model for grounded task planning.

Georgia Chalvatzaki, Ali Younes, Daljeet Nandha, An T. Le, Leonardo F. R. Ribeiro, Iryna Gurevych

Frontiers Robotics AI, February, 2023

Accelerating Motion Planning via Optimal Transport.

An T. Le, Georgia Chalvatzaki, Armin Biess, Jan Peters

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical Policy Blending As Optimal Transport.

An T. Le, Kay Hansel, Jan Peters, Georgia Chalvatzaki

Proceedings of the Learning for Dynamics and Control Conference, 2023

Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models.

João Carvalho, An T. Le, Mark Baierl, Dorothea Koert, Jan Peters

IROS, 2023

2022

Learning Implicit Priors for Motion Optimization.

Julen Urain, An T. Le, Alexander Lambert, Georgia Chalvatzaki, Byron Boots, Jan Peters

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks.

An T. Le, Philipp Kratzer, Simon Hagenmayer, Marc Toussaint, Jim Mainprice

Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations.

An T. Le, Meng Guo, Niels van Duijkeren, Leonel Dario Rozo, Robert Krug, Andras G. Kupcsik, Mathias Bürger

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2017

Real-Time Localization and Tracking System with Multiple-Angle Views for Human Robot Interaction.

Quan H. Nguyen, Trinh N. P. Tran, Dung D. Huynh, An T. Le, Than D. Le

Proceedings of the First IEEE International Conference on Robotic Computing, 2017

D* Lite with Reset: Improved Version of D* Lite for Complex Environment.

An T. Le, Minh Q. Bui, Than D. Le, Peter Nauth

Proceedings of the First IEEE International Conference on Robotic Computing, 2017

Model-based Q-learning for humanoid robots.

Than D. Le, An T. Le, Duy T. Nguyen

Proceedings of the 18th International Conference on Advanced Robotics, 2017