Rowan McAllister

43 papers A* 10A 2Journal 24Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Impact of Class Uncertainty Propagation in Perception-Based Motion Planning. CoRR Jibran Iqbal Shah, Andrei Ivanovic, Kelly Zhu, Masha Itkina, Rowan McAllister, Igor Gilitschenski, Florian Shkurti
2025	J	`jnl`	NeuralRemaster: Phase-Preserving Diffusion for Structure-Aligned Generation. CoRR Yu Zeng, Charles Ochoa, Mingyuan Zhou, Vishal M. Patel, Vitor Guizilini, Rowan McAllister
2024	—	`conf`	CARFF: Conditional Auto-Encoded Radiance Field for 3D Scene Forecasting. ECCV (89) Jiezhi Yang, Khushi Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph E. Gonzalez
2024	J	`jnl`	CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting. CoRR Jiezhi Yang, Khushi Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph Gonzalez
2023	J	`jnl`	In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States. CoRR Fernando Castañeda, Haruki Nishimura, Rowan McAllister, Koushil Sreenath, Adrien Gaidon
2023	A*	`conf`	Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. NeurIPS Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp
2023	J	`jnl`	Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. CoRR Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp
2022	A*	`conf`	Control-Aware Prediction Objectives for Autonomous Driving. ICRA Rowan McAllister, Blake Wulfe, Jean Mercat, Logan Ellis, Sergey Levine, Adrien Gaidon
2022	J	`jnl`	Control-Aware Prediction Objectives for Autonomous Driving. CoRR Rowan McAllister, Blake Wulfe, Jean Mercat, Logan Ellis, Sergey Levine, Adrien Gaidon
2022	J	`jnl`	Dynamics-Aware Comparison of Learned Reward Functions. CoRR Blake Wulfe, Ashwin Balakrishna, Logan Ellis, Jean Mercat, Rowan McAllister, Adrien Gaidon
2022	A	`conf`	Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. IROS Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone
2022	J	`jnl`	RAP: Risk-Aware Prediction for Robust Planning. CoRR Haruki Nishimura, Jean Mercat, Blake Wulfe, Rowan McAllister, Adrien Gaidon
2022	—	`conf`	S2Net: Stochastic Sequential Pointcloud Forecasting. ECCV (27) Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani
2022	J	`jnl`	Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles. CoRR Thomas Krendl Gilbert, Aaron J. Snoswell, Michael Dennis, Rowan McAllister, Cathy Wu
2021	—	`conf`	Autonomous Vehicle Vision 2021: ICCV Workshop Summary. ICCVW Rui Fan, Nemanja Djuric, Fisher Yu, Rowan McAllister, Ioannis Pitas
2021	A*	`conf`	Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models. ICRA Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine
2021	J	`jnl`	Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models. CoRR Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine
2021	J	`jnl`	Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. CoRR Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone
2021	J	`jnl`	Model-Based Meta-Reinforcement Learning for Flight With Suspended Payloads. IEEE Robotics Autom. Lett. Suneel Belkhale, Rachel Li, Gregory Kahn, Rowan McAllister, Roberto Calandra, Sergey Levine
2021	A*	`conf`	Outcome-Driven Reinforcement Learning via Variational Inference. NeurIPS Tim G. J. Rudner, Vitchyr Pong, Rowan McAllister, Yarin Gal, Sergey Levine
2021	J	`jnl`	Outcome-Driven Reinforcement Learning via Variational Inference. CoRR Tim G. J. Rudner, Vitchyr H. Pong, Rowan McAllister, Yarin Gal, Sergey Levine
2020	A*	`conf`	Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? ICML Angelos Filos, Panagiotis Tigas, Rowan McAllister, Nicholas Rhinehart, Sergey Levine, Yarin Gal
2020	J	`jnl`	Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? CoRR Angelos Filos, Panagiotis Tigas, Rowan McAllister, Nicholas Rhinehart, Sergey Levine, Yarin Gal
2020	A*	`conf`	Deep Imitative Models for Flexible Inference, Planning, and Control. ICLR Nicholas Rhinehart, Rowan McAllister, Sergey Levine
2020	J	`jnl`	Learning Invariant Representations for Reinforcement Learning without Reconstruction. CoRR Amy Zhang, Rowan McAllister, Roberto Calandra, Yarin Gal, Sergey Levine
2020	J	`jnl`	Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads. CoRR Suneel Belkhale, Rachel Li, Gregory Kahn, Rowan McAllister, Roberto Calandra, Sergey Levine
2020	J	`jnl`	Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks. IEEE Robotics Autom. Lett. Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Felix Li, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine, Francesco Borrelli, Ken Goldberg
2019	J	`jnl`	Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations. CoRR Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Felix Li, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine, Francesco Borrelli, Ken Goldberg
2019	J	`jnl`	PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings. CoRR Nicholas Rhinehart, Rowan McAllister, Kris M. Kitani, Sergey Levine
2019	A*	`conf`	PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings. ICCV Nicholas Rhinehart, Rowan McAllister, Kris Kitani, Sergey Levine
2019	A*	`conf`	Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty. ICRA Rowan McAllister, Gregory Kahn, Jeff Clune, Sergey Levine
2018	J	`jnl`	Deep Imitative Models for Flexible Inference, Planning, and Control. CoRR Nicholas Rhinehart, Rowan McAllister, Sergey Levine
2018	A*	`conf`	Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models. NeurIPS Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine
2018	J	`jnl`	Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models. CoRR Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine
2018	J	`jnl`	Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty. CoRR Rowan McAllister, Gregory Kahn, Jeff Clune, Sergey Levine
2017	—	`—`	Bayesian learning for data-efficient control. Rowan McAllister
2017	A*	`conf`	Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning. IJCAI Rowan McAllister, Yarin Gal, Alex Kendall, Mark van der Wilk, Amar Shah, Roberto Cipolla, Adrian Weller
2017	—	`conf`	Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs. NIPS Rowan McAllister, Carl Edward Rasmussen
2016	J	`jnl`	Data-Efficient Reinforcement Learning in Continuous-State POMDPs. CoRR Rowan McAllister, Carl Edward Rasmussen
2014	J	`jnl`	Learned Stochastic Mobility Prediction for Planning with Control Uncertainty on Unstructured Terrain. J. Field Robotics Thierry Peynot, Sin-Ting Lui, Rowan McAllister, Robert Fitch, Salah Sukkarieh
2012	A	`conf`	Motion planning and stochastic control with experimental validation on a planetary rover. IROS Rowan McAllister, Thierry Peynot, Robert Fitch, Salah Sukkarieh
2012	—	`conf`	Resilient Navigation through Probabilistic Modality Reconfiguration. IAS (2) Thierry Peynot, Robert Fitch, Rowan McAllister, Alen Alempijevic
2010	—	`conf`	Hierarchical Planning for Self-reconfiguring Robots Using Module Kinematics. DARS Robert Fitch, Rowan McAllister