Allen Z. Ren - RankMe

41 papers A* 6Misc 5Journal 27Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions. ACM Comput. Surv. Ola Shorinwa, Zhiting Mei, Justin Lidard, Allen Z. Ren, Anirudha Majumdar
2026	J	`jnl`	LAP: Language-Action Pre-Training Enables Zero-shot Cross-Embodiment Transfer. CoRR Lihan Zha, Asher J. Hancock, Mingtong Zhang, Tenny Yin, Yixuan Huang, Dhruv Shah, Allen Z. Ren, Anirudha Majumdar
2026	J	`jnl`	MEM: Multi-Scale Embodied Memory for Vision Language Action Models. CoRR Marcel Torne, Karl Pertsch, Homer Walke, Kyle Vedder, Suraj Nair, Brian Ichter, Allen Z. Ren, Haohuan Wang, Jiaming Tang, Kyle Stachowicz, Karan Dhabalia, Michael Equi, Quan Vuong, Jost Tobias Springenberg, Sergey Levine, Chelsea Finn, Danny Driess
2025	A*	`conf`	Diffusion Policy Policy Optimization. ICLR Allen Z. Ren, Justin Lidard, Lars Lien Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz
2025	J	`jnl`	Guiding Data Collection via Factored Scaling Curves. CoRR Lihan Zha, Apurva Badithela, Michael Zhang, Justin Lidard, Jeremy Bao, Emily Zhou, David Snyder, Allen Z. Ren, Dhruv Shah, Anirudha Majumdar
2025	J	`jnl`	Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better. CoRR Danny Driess, Jost Tobias Springenberg, Brian Ichter, Lili Yu, Adrian Li-Bell, Karl Pertsch, Allen Z. Ren, Homer Walke, Quan Vuong, Lucy Xiaoyang Shi, Sergey Levine
2025	A*	`conf`	Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust. ICRA Asher J. Hancock, Allen Z. Ren, Anirudha Majumdar
2025	J	`jnl`	Training-Time Action Conditioning for Efficient Real-Time Chunking. CoRR Kevin Black, Allen Z. Ren, Michael Equi, Sergey Levine
2025	J	`jnl`	π CoRR Physical Intelligence, Kevin Black, Noah Brown, James Darpinian, Karan Dhabalia, Danny Driess, Adnan Esmail, Michael Equi, Chelsea Finn, Niccolo Fusai, Manuel Y. Galliker, Dibya Ghosh, Lachy Groom, Karol Hausman, Brian Ichter, Szymon Jakubczak, Tim Jones, Liyiming Ke, Devin LeBlanc, Sergey Levine, Adrian Li-Bell, Mohith Mothukuri, Suraj Nair, Karl Pertsch, Allen Z. Ren, Lucy Xiaoyang Shi, Laura Smith, Jost Tobias Springenberg, Kyle Stachowicz, James Tanner, Quan Vuong, Homer Walke, Anna Walling, Haohuan Wang, Lili Yu, Ury Zhilinsky
2025	J	`jnl`	π CoRR Physical Intelligence, Ali Amin, Raichelle Aniceto, Ashwin Balakrishna, Kevin Black, Ken Conley, Grace Connors, James Darpinian, Karan Dhabalia, Jared DiCarlo, Danny Driess, Michael Equi, Adnan Esmail, Yunhao Fang, Chelsea Finn, Catherine Glossop, Thomas Godden, Ivan Goryachev, Lachy Groom, Hunter Hancock, Karol Hausman, Gashon Hussein, Brian Ichter, Szymon Jakubczak, Rowan Jen, Tim Jones, Ben Katz, Liyiming Ke, Chandra Kuchi, Marinda Lamb, Devin LeBlanc, Sergey Levine, Adrian Li-Bell, Yao Lu, Vishnu Mano, Mohith Mothukuri, Suraj Nair, Karl Pertsch, Allen Z. Ren, Charvi Sharma, Lucy Xiaoyang Shi, Laura Smith, Jost Tobias Springenberg, Kyle Stachowicz, Will Stoeckle, Alex Swerdlow, James Tanner, Marcel Torne, Quan Vuong, Anna Walling, Haohuan Wang, Blake Williams, Sukwon Yoo, Lili Yu, Ury Zhilinsky, Zhiyuan Zhou
2024	J	`jnl`	A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions. CoRR Ola Shorinwa, Zhiting Mei, Justin Lidard, Allen Z. Ren, Anirudha Majumdar
2024	J	`jnl`	Diffusion Policy Policy Optimization. CoRR Allen Z. Ren, Justin Lidard, Lars Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz
2024	—	`conf`	Explore until Confident: Efficient Exploration for Embodied Question Answering. Robotics: Science and Systems Allen Z. Ren, Jaden Clark, Anushri Dixit, Masha Itkina, Anirudha Majumdar, Dorsa Sadigh
2024	J	`jnl`	Explore until Confident: Efficient Exploration for Embodied Question Answering. CoRR Allen Z. Ren, Jaden Clark, Anushri Dixit, Masha Itkina, Anirudha Majumdar, Dorsa Sadigh
2024	A*	`conf`	How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policies. ICRA Montserrat Gonzalez Arenas, Ted Xiao, Sumeet Singh, Vidhi Jain, Allen Z. Ren, Quan Vuong, Jake Varley, Alexander Herzog, Isabel Leal, Sean Kirmani, Mario Prats, Dorsa Sadigh, Vikas Sindhwani, Kanishka Rao, Jacky Liang, Andy Zeng
2024	—	`conf`	Learning to Learn Faster from Human Feedback with Language Model Predictive Control. Robotics: Science and Systems Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Maria Attarian, Maria Bauzá Villalonga, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J. Joshi, Ben Jyenis, J. Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Kenneth Oslund, Dushyant Rao, Allen Z. Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja J. Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada
2024	J	`jnl`	Learning to Learn Faster from Human Feedback with Language Model Predictive Control. CoRR Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Montserrat Gonzalez Arenas, Maria Attarian, Maria Bauzá, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Kelly Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J. Joshi, Ben Jyenis, J. Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Ken Oslund, Dushyant Rao, Allen Z. Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja J. Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada
2024	Misc	`conf`	Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception. CoRL Anushri Dixit, Zhiting Mei, Meghan Booker, Mariko Storey-Matsutani, Allen Z. Ren, Anirudha Majumdar
2024	J	`jnl`	Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception. CoRR Anushri Dixit, Zhiting Mei, Meghan Booker, Mariko Storey-Matsutani, Allen Z. Ren, Anirudha Majumdar
2024	J	`jnl`	Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust. CoRR Asher J. Hancock, Allen Z. Ren, Anirudha Majumdar
2024	A*	`conf`	Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint). AAAI Kai-Chieh Hsu, Allen Z. Ren, Duy Phuong Nguyen, Anirudha Majumdar, Jaime F. Fisac
2024	J	`jnl`	Thinking Forward and Backward: Effective Backward Planning with Large Language Models. CoRR Allen Z. Ren, Brian Ichter, Anirudha Majumdar
2023	Misc	`conf`	AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer. CoRL Allen Z. Ren, Hongkai Dai, Benjamin Burchfiel, Anirudha Majumdar
2023	J	`jnl`	AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer. CoRR Allen Z. Ren, Hongkai Dai, Benjamin Burchfiel, Anirudha Majumdar
2023	A*	`conf`	FlowDrone: Wind Estimation and Gust Rejection on UAVs Using Fast-Response Hot-Wire Flow Sensors. ICRA Nathaniel Simon, Allen Z. Ren, Alexander Piqué, David Snyder, Daphne Barretto, Marcus Hultmark, Anirudha Majumdar
2023	J	`jnl`	Learning a Universal Human Prior for Dexterous Manipulation from Human Preference. CoRR Zihan Ding, Yuanpei Chen, Allen Z. Ren, Shixiang Shane Gu, Hao Dong, Chi Jin
2023	Misc	`conf`	Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners. CoRL Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar
2023	J	`jnl`	Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners. CoRR Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar
2023	J	`jnl`	Sim-to-Lab-to-Real: Safe reinforcement learning with shielding and generalization guarantees. Artif. Intell. Kai-Chieh Hsu, Allen Z. Ren, Duy Phuong Nguyen, Anirudha Majumdar, Jaime F. Fisac
2022	J	`jnl`	Distributionally Robust Policy Learning via Adversarial Environment Generation. IEEE Robotics Autom. Lett. Allen Z. Ren, Anirudha Majumdar
2022	—	`conf`	Failure Prediction with Statistical Guarantees for Vision-Based Robot Control. Robotics: Science and Systems Alec Farid, David Snyder, Allen Z. Ren, Anirudha Majumdar
2022	J	`jnl`	Failure Prediction with Statistical Guarantees for Vision-Based Robot Control. CoRR Alec Farid, David Snyder, Allen Z. Ren, Anirudha Majumdar
2022	J	`jnl`	FlowDrone: Wind Estimation and Gust Rejection on UAVs Using Fast-Response Hot-Wire Flow Sensors. CoRR Nathaniel Simon, Allen Z. Ren, Alexander Piqué, David Snyder, Daphne Barretto, Marcus Hultmark, Anirudha Majumdar
2022	Misc	`conf`	Leveraging Language for Accelerated Learning of Tool Manipulation. CoRL Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik R. Narasimhan, Anirudha Majumdar
2022	J	`jnl`	Leveraging Language for Accelerated Learning of Tool Manipulation. CoRR Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik Narasimhan, Anirudha Majumdar
2022	J	`jnl`	Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees. CoRR Kai-Chieh Hsu, Allen Z. Ren, Duy Phuong Nguyen, Anirudha Majumdar, Jaime F. Fisac
2022	A*	`conf`	Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data. ICRA Abhinav Agarwal, Sushant Veer, Allen Z. Ren, Anirudha Majumdar
2021	J	`jnl`	Distributionally Robust Policy Learning via Adversarial Environment Generation. CoRR Allen Z. Ren, Anirudha Majumdar
2021	J	`jnl`	Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data. CoRR Abhinav Agarwal, Sushant Veer, Allen Z. Ren, Anirudha Majumdar
2020	Misc	`conf`	Generalization Guarantees for Imitation Learning. CoRL Allen Z. Ren, Sushant Veer, Anirudha Majumdar
2020	J	`jnl`	Generalization Guarantees for Multi-Modal Imitation Learning. CoRR Allen Z. Ren, Sushant Veer, Anirudha Majumdar