Andras Gabor Kupcsik

19 papers A* 7C 1Misc 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images. ICRA David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann
2024	J	`jnl`	Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images. CoRR David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann
2023	A*	`conf`	Adversarial Imitation Learning with Preferences. ICLR Aleksandar Taranovic, Andras Gabor Kupcsik, Niklas Freymuth, Gerhard Neumann
2022	A*	`conf`	Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation. ICRA David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann
2022	J	`jnl`	Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation. CoRR David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann
2022	Misc	`conf`	Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks. CoRL Christian Graf, David B. Adrian, Joshua Weil, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Heiko Neumann, Andras Gabor Kupcsik
2021	A*	`conf`	Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications. AAAI Andras Gabor Kupcsik, Markus Spies, Alexander Klein, Marco Todescato, Nicolai Waniek, Philipp Schillinger, Mathias Bürger
2019	J	`jnl`	Factored Contextual Policy Search with Bayesian Optimization. CoRR Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2019	A*	`conf`	Factored Contextual Policy Search with Bayesian optimization. ICRA Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2019	J	`jnl`	The kernel Kalman rule - Efficient nonparametric inference by recursive least-squares and subspace projections. Mach. Learn. Gregor H. W. Gebhardt, Andras Gabor Kupcsik, Gerhard Neumann
2018	J	`jnl`	Dexterous Underwater Manipulation from Onshore Locations: Streamlining Efficiencies for Remotely Operated Underwater Vehicles. IEEE Robotics Autom. Mag. Andreas Birk, Tobias Doernbach, Christian A. Mueller, Tomasz Luczynski, Arturo Gomez Chavez, Daniel Koehntopp, Andras Gabor Kupcsik, Sylvain Calinon, Ajay Kumar Tanwani, Gianluca Antonelli, Paolo Di Lillo, Enrico Simetti, Giuseppe Casalino, Giovanni Indiveri, Luigi Ostuni, Alessio Turetta, Andrea Caffaz, Peter Weiss, Thibaud Gobert, Bertrand Chemisky, Jeremi Gancet, Torsten Siedel, Shashank Govindaraj, Xavier Martinez, Pierre Letier
2017	J	`jnl`	Model-based contextual policy search for data-efficient generalization of robot skills. Artif. Intell. Andras Gabor Kupcsik, Marc Peter Deisenroth, Jan Peters, Ai Poh Loh, Prahlad Vadakkepat, Gerhard Neumann
2017	A*	`conf`	The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares. AAAI Gregor H. W. Gebhardt, Andras Gabor Kupcsik, Gerhard Neumann
2016	J	`jnl`	Factored Contextual Policy Search with Bayesian Optimization. CoRR Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2016	J	`jnl`	Learning Dynamic Robot-to-Human Object Handover from Human Feedback. CoRR Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2015	—	`conf`	Learning Dynamic Robot-to-Human Object Handover from Human Feedback. ISRR (1) Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2015	C	`conf`	Synthetical Benchmarking of Service Robots: A First Effort on Domestic Mobile Platforms. RoboCup Min Cheng, Xiaoping Chen, Keke Tang, Feng Wu, Andras Gabor Kupcsik, Luca Iocchi, Yingfeng Chen, David Hsu
2014	J	`jnl`	Learning modular policies for robotics. Frontiers Comput. Neurosci. Gerhard Neumann, Christian Daniel, Alexandros Paraschos, Andras Gabor Kupcsik, Jan Peters
2013	A*	`conf`	Data-Efficient Generalization of Robot Skills with Contextual Policy Search. AAAI Andras Gabor Kupcsik, Marc Peter Deisenroth, Jan Peters, Gerhard Neumann