publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. ICLR
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    Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics
    Tai Hoang , Alessandro Trenta* , Alessio Gravina*, and 4 more authors
    The Fourteenth International Conference on Learning Representations, 2026
    arXiv PDF Website
  2. ICML
    Trust-Region Diffusion Policies for Massively Parallel On-Policy RL
    Huy Le , Onur Celik* , Denis Blessing* , Tai Hoang*, and 5 more authors
    In Forty-third International Conference on Machine Learning, 2026
  3. ICML
    PAWS: Preference Learning with Advantage-Weighted Segments
    Aleksandar Taranovic , Onur Celik , Niklas Freymuth , Ge Li , Serge Thilges , Huy Le , Tai Hoang, and 2 more authors
    In Forty-third International Conference on Machine Learning, 2026
  4. TMLR
    Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning
    Philipp Dahlinger , Niklas Freymuth , Tai Hoang, and 4 more authors
    Transactions on Machine Learning Research, 2026

2025

  1. ICLR Oral
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    Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
    Tai Hoang , Huy Le , Philipp Becker, and 2 more authors
    In The Thirteenth International Conference on Learning Representations, 2025
    Oral Presentation [Top 1.8%]
    PDF Website
  2. NeurIPS
    MaNGO — Adaptable Graph Network Simulators via Meta-Learning
    Philipp Dahlinger , Tai Hoang , Denis Blessing, and 2 more authors
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
    PDF Website
  3. NeurIPS
    AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction
    Niklas Freymuth , Tobias Würth , Nicolas Schreiber , Balázs Gyenes , Andreas Boltres , Johannes Mitsch , Aleksandar Taranovic , Tai Hoang, and 4 more authors
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
    PDF
  4. RA-L
    Enhancing Exploration With Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation
    Huy Le , Tai Hoang , Miroslav Gabriel, and 2 more authors
    IEEE Robotics and Automation Letters, 2025
    DOI PDF Website

2023

  1. M.Sc. Thesis
    Curriculum Learning for Transferable Deep-State Space Models
    Tai Hoang
    Technical University of Munich, 2023
    PDF
  2. ISRR
    Ball-and-Socket Joint Pose Estimation Using Magnetic Field
    Tai Hoang , Alona Kharchenko , Simon Trendel, and 1 more author
    International Symposium of Robotics Research, 2023
    DOI

2021

  1. ECML PKDD
    Graph-Based Motion Planning Networks
    Tai Hoang and Ngo Anh Vien
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, 2021
    DOI

2019

  1. Applied AI
    Towards Autoencoding Variational Inference for Aspect-Based Opinion Summary
    Tai Hoang , Huy Le , and Tho Quan
    Applied Artificial Intelligence, Jun 2019
    DOI