Péter Karkus - RankMe

51 papers A* 13B 1C 2Misc 2Journal 28Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CVPR Zhejun Zhang, Péter Karkus, Maximilian Igl, Wenhao Ding, Yuxiao Chen, Boris Ivanovic, Marco Pavone
2025	J	`jnl`	Deployable and Generalizable Motion Prediction: Taxonomy, Open Challenges and Future Directions. CoRR Letian Wang, Marc-Antoine Lavoie, Sandro Papais, Barza Nisar, Yuxiao Chen, Wenhao Ding, Boris Ivanovic, Hao Shao, Abulikemu Abuduweili, Evan Cook, Yang Zhou, Péter Karkus, Jiachen Li, Changliu Liu, Marco Pavone, Steven Lake Waslander
2025	A*	`conf`	LoRD: Adapting Differentiable Driving Policies to Distribution Shifts. ICRA Christopher Diehl, Péter Karkus, Sushant Veer, Marco Pavone, Torsten Bertram
2025	J	`jnl`	RoaD: Rollouts as Demonstrations for Closed-Loop Supervised Fine-Tuning of Autonomous Driving Policies. CoRR Guillermo Garcia-Cobo, Maximilian Igl, Péter Karkus, Zhejun Zhang, Michael Watson, Yuxiao Chen, Boris Ivanovic, Marco Pavone
2025	A*	`conf`	STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes. ICLR Jiawei Yang, Jiahui Huang, Boris Ivanovic, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Péter Karkus, Danfei Xu, Yue Wang, Marco Pavone
2025	J	`jnl`	STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes. CoRR Jiawei Yang, Jiahui Huang, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Péter Karkus, Danfei Xu, Boris Ivanovic, Yue Wang, Marco Pavone
2024	J	`jnl`	Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CoRR Zhejun Zhang, Péter Karkus, Maximilian Igl, Wenhao Ding, Yuxiao Chen, Boris Ivanovic, Marco Pavone
2024	A*	`conf`	DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving. ICRA Zhiyu Huang, Péter Karkus, Boris Ivanovic, Yuxiao Chen, Marco Pavone, Chen Lv
2024	A*	`conf`	DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features. NeurIPS Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven L. Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Péter Karkus
2024	J	`jnl`	DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features. CoRR Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven L. Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Péter Karkus
2024	J	`jnl`	Interactive Joint Planning for Autonomous Vehicles. IEEE Robotics Autom. Lett. Yuxiao Chen, Sushant Veer, Péter Karkus, Marco Pavone
2024	J	`jnl`	Learning Multiple Initial Solutions to Optimization Problems. CoRR Elad Sharony, Heng Yang, Tong Che, Marco Pavone, Shie Mannor, Péter Karkus
2024	J	`jnl`	LoRD: Adapting Differentiable Driving Policies to Distribution Shifts. CoRR Christopher Diehl, Péter Karkus, Sushant Veer, Marco Pavone, Torsten Bertram
2024	—	`conf`	Partial-View Object View Synthesis via Filtering Inversion. 3DV Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber
2024	—	`conf`	System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline. CDC Sampada Deglurkar, Haotian Shen, Anish Muthali, Marco Pavone, Dragos D. Margineantu, Péter Karkus, Boris Ivanovic, Claire J. Tomlin
2024	J	`jnl`	System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline. CoRR Sampada Deglurkar, Haotian Shen, Anish Muthali, Marco Pavone, Dragos D. Margineantu, Péter Karkus, Boris Ivanovic, Claire J. Tomlin
2023	J	`jnl`	DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving. CoRR Zhiyu Huang, Péter Karkus, Boris Ivanovic, Yuxiao Chen, Marco Pavone, Chen Lv
2023	J	`jnl`	Interactive Motion Planning for Autonomous Vehicles with Joint Optimization. CoRR Yuxiao Chen, Sushant Veer, Péter Karkus, Marco Pavone
2023	J	`jnl`	Partial-View Object View Synthesis via Filtered Inversion. CoRR Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber
2023	A*	`conf`	Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. ICRA Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone
2023	A*	`conf`	Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. ICRA Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Péter Karkus, Marco Pavone
2023	A*	`conf`	Tree-structured Policy Planning with Learned Behavior Models. ICRA Yuxiao Chen, Péter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone
2023	J	`jnl`	Tree-structured Policy Planning with Learned Behavior Models. CoRR Yuxiao Chen, Péter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone
2022	Misc	`conf`	DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRL Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone
2022	J	`jnl`	DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRR Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone
2022	J	`jnl`	Foundation Models for Semantic Novelty in Reinforcement Learning. CoRR Tarun Gupta, Péter Karkus, Tong Che, Danfei Xu, Marco Pavone
2022	J	`jnl`	Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. CoRR Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone
2021	A*	`conf`	Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation. CVPR Péter Karkus, Shaojun Cai, David Hsu
2021	J	`jnl`	Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation. CoRR Péter Karkus, Shaojun Cai, David Hsu
2020	J	`jnl`	Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban. CoRR Péter Karkus, Mehdi Mirza, Arthur Guez, Andrew Jaegle, Timothy P. Lillicrap, Lars Buesing, Nicolas Heess, Theophane Weber
2020	A*	`conf`	Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. ICRA Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski
2020	J	`jnl`	Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. CoRR Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski
2020	J	`jnl`	Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations. CoRR Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye
2020	A*	`conf`	Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. ICLR Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye
2020	A*	`conf`	Particle Filter Recurrent Neural Networks. AAAI Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee
2020	J	`jnl`	Physically Embedded Planning Problems: New Challenges for Reinforcement Learning. CoRR Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt, Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal, Théophane Weber, Péter Karkus, Sébastien Racanière, Lars Buesing, Timothy P. Lillicrap, Nicolas Heess
2019	—	`conf`	Differentiable Algorithm Networks for Composable Robot Learning. Robotics: Science and Systems Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
2019	J	`jnl`	Differentiable Algorithm Networks for Composable Robot Learning. CoRR Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
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`	Particle Filter Recurrent Neural Networks. CoRR Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee
2018	J	`jnl`	Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation. CoRR Péter Karkus, David Hsu, Wee Sun Lee
2018	Misc	`conf`	Particle Filter Networks with Application to Visual Localization. CoRL Péter Karkus, David Hsu, Wee Sun Lee
2018	J	`jnl`	Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations. CoRR Péter Karkus, David Hsu, Wee Sun Lee
2017	—	`conf`	QMDP-Net: Deep Learning for Planning under Partial Observability. NIPS Péter Karkus, David Hsu, Wee Sun Lee
2017	J	`jnl`	QMDP-Net: Deep Learning for Planning under Partial Observability. CoRR Péter Karkus, David Hsu, Wee Sun Lee
2016	J	`jnl`	Factored Contextual Policy Search with Bayesian Optimization. CoRR Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2016	B	`conf`	Recursive Constraint Manifold Subsearch for Multirobot Path Planning with Cooperative Tasks. SOCS Péter Karkus, Glenn Wagner, Howie Choset
2014	—	`conf`	On-chip generation and demultiplexing of quantum correlated photons using silicon-silica monolithic waveguide platform. ECOC Nobuyuki Matsuda, Péter Karkus, Hidetaka Nishi, Tai Tsuchizawa, William J. Munro, Hiroki Takesue, Koji Yamada
2013	C	`conf`	Team Organization and Participation in the Eurobot 2012 Contest. ACE László Csaba Burkodi, Tamás Gábor Kiss, Dániel Varga, István Vajk, Péter Karkus
2013	C	`conf`	The RobonAUT Robot Construction Contest in 2013. ACE Tamás Gábor Kiss, László Csaba Burkodi, Dániel Varga, István Vajk, Péter Karkus