Balázs Gyenes

According to our database, Balázs Gyenes authored at least 9 papers between 2021 and 2026.

Collaborative distances:

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

2026

Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators.

Philipp Dahlinger, Balázs Gyenes, Niklas Freymuth, Luca Geminiani, Tobias Würth, Johannes Mitsch, Nadja Klein, Luise Kärger, Gerhard Neumann

CoRR, May, 2026

2025

Point Cloud Segmentation for Autonomous Clip Positioning in Laparoscopic Cholecystectomy on a Phantom.

Balázs Gyenes, Nikolai Franke, Paul Maria Scheikl, Pit Henrich, Rayan Younis, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich

IEEE Robotics Autom. Lett., August, 2025

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, Philipp Dahlinger, Philipp Becker, Luise Kärger, Gerhard Neumann

CoRR, May, 2025

PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning.

Xiaogang Jia, Qian Wang, Anrui Wang, Han A. Wang, Balázs Gyenes, Emiliyan Gospodinov, Xinkai Jiang, Ge Li, Hongyi Zhou, Weiran Liao, Xi Huang, Maximilian Beck, Moritz Reuss, Rudolf Lioutikov, Gerhard Neumann

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Registered and Segmented Deformable Object Reconstruction from a Single View Point Cloud.

Pit Henrich, Balázs Gyenes, Paul Maria Scheikl, Gerhard Neumann, Franziska Mathis-Ullrich

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

PointPatchRL - Masked Reconstruction Improves Reinforcement Learning on Point Clouds.

Balázs Gyenes, Nikolai Franke, Philipp Becker, Gerhard Neumann

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Sim-to-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery.

Paul Maria Scheikl, Eleonora Tagliabue, Balázs Gyenes, Martin Wagner, Diego Dall'Alba, Paolo Fiorini, Franziska Mathis-Ullrich

IEEE Robotics Autom. Lett., 2023

LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery.

Paul Maria Scheikl, Balázs Gyenes, Rayan Younis, Christoph Haas, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich

J. Mach. Learn. Res., 2023

2021

Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning.

Paul Maria Scheikl, Balázs Gyenes, Tornike Davitashvili, Rayan Younis, André Schulze, Beat P. Müller-Stich, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich

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