Tai Hoang - RankMe

18 papers A* 1C 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning. Trans. Mach. Learn. Res. Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Tobias Würth, Michael Volpp, Luise Kärger, Gerhard Neumann
2026	J	`jnl`	Smooth Sampling-Based Model Predictive Control Using Deterministic Samples. CoRR Markus Walker, Marcel Reith-Braun, Tai Hoang, Gerhard Neumann, Uwe D. Hanebeck
2025	J	`jnl`	AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction. CoRR Niklas Freymuth, Tobias Würth, Nicolas Schreiber, Balázs Gyenes, Andreas Boltres, Johannes Mitsch, Aleksandar Taranovic, Tai Hoang, Philipp Dahlinger, Philipp Becker, Luise Kärger, Gerhard Neumann
2025	J	`jnl`	Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning. CoRR Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Tobias Würth, Michael Volpp, Luise Kärger, Gerhard Neumann
2025	J	`jnl`	Enhancing Exploration With Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation. IEEE Robotics Autom. Lett. Huy Le, Tai Hoang, Miroslav Gabriel, Gerhard Neumann, Ngo Anh Vien
2025	A*	`conf`	Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects. ICLR Tai Hoang, Huy Le, Philipp Becker, Ngo Anh Vien, Gerhard Neumann
2025	J	`jnl`	Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects. CoRR Tai Hoang, Huy Le, Philipp Becker, Ngo Anh Vien, Gerhard Neumann
2025	J	`jnl`	Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics. CoRR Tai Hoang, Alessandro Trenta, Alessio Gravina, Niklas Freymuth, Philipp Becker, Davide Bacciu, Gerhard Neumann
2025	J	`jnl`	MaNGO - Adaptable Graph Network Simulators via Meta-Learning. CoRR Philipp Dahlinger, Tai Hoang, Denis Blessing, Niklas Freymuth, Gerhard Neumann
2024	J	`jnl`	Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation. CoRR Huy Le, Miroslav Gabriel, Tai Hoang, Gerhard Neumann, Ngo Anh Vien
2023	J	`jnl`	Latent Task-Specific Graph Network Simulators. CoRR Philipp Dahlinger, Niklas Freymuth, Michael Volpp, Tai Hoang, Gerhard Neumann
2022	J	`jnl`	Autonomous soft hand grasping - Literature review. CoRR Tai Hoang
2022	C	`conf`	Ball-and-Socket Joint Pose Estimation Using Magnetic Field. ISRR Tai Hoang, Alona Kharchenko, Simon Trendel, Rafael Hostettler
2022	J	`jnl`	Ball-and-socket joint pose estimation using magnetic field. CoRR Tai Hoang, Alona Kharchenko, Simon Trendel, Rafael Hostettler
2020	J	`jnl`	Bayes-Adaptive Deep Model-Based Policy Optimisation. CoRR Tai Hoang, Ngo Anh Vien
2020	—	`conf`	Graph-Based Motion Planning Networks. ECML/PKDD (2) Tai Hoang, Ngo Anh Vien
2019	J	`jnl`	Towards Autoencoding Variational Inference for Aspect-Based Opinion Summary. Appl. Artif. Intell. Tai Hoang, Huy Le, Tho Quan
2019	J	`jnl`	Towards Autoencoding Variational Inference for Aspect-based Opinion Summary. CoRR Tai Hoang, Huy Le, Tho Quan