An Thai Le

4 papers · 2023–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

AAAI (1) ACML (1) ICML (1) L4DC (1)

Top co-authors

Jan Peters (4) Mathias Niepert (2) Daniel Sonntag (2) Duy Minh Ho Nguyen (2) Tai Nguyen (2) Nina Lukashina (1) nhật Hồ (1) Dorothea Koert (1) Viktor Zaverkin (1) Georgia Chalvatzaki (1)

Research topics

Artificial Intelligence (3) Deep Learning (3) Core AI (3) Machine Learning (2) Mathematics & Optimization (2) Optimization (2) Application Areas (1) Architectures (1) Core Methods (1) Learning Types (1) Models (1)

Keywords

motion planning (1) reinforcement learning (1) hierarchical planning (1) optimal transport (1) prompt learning (1) trajectory optimization (1) robot manipulation (1) gpu implementation (1) diffusion model (1) vision-language model (1) molecule property prediction (1) unbalanced optimal transport (1) few-shot classification (1) expert policy (1) distance geometry (1) image augmentation (1) policy blending (1) b-spline curve (1) riemannian motion (1) conformer aggregation (1)

Papers

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models (Abstract Reprint) AAAI 2026 Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model ACML 2024 Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks ICML 2024 Hierarchical Policy Blending As Optimal Transport L4DC 2023