Sanjana Srivastava

According to our database, Sanjana Srivastava authored at least 17 papers between 2019 and 2025.

Collaborative distances:

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

2025

Beat the long tail: Distribution-Aware Speculative Decoding for RL Training.

Zelei Shao, Vikranth Srivatsa, Sanjana Srivastava, Qingyang Wu, Alpay Ariyak, Xiaoxia Wu, Ameen Patel, Jue Wang, Percy Liang, Tri Dao, Ce Zhang, Yiying Zhang, Ben Athiwaratkun, Chenfeng Xu, Junxiong Wang

CoRR, November, 2025

Why Automate This? Exploring the Connection between Time Use, Well-being and Robot Automation Across Social Groups.

Ruchira Ray, Leona Pang, Sanjana Srivastava, Li Fei-Fei, Samantha Shorey, Roberto Martín-Martín

CoRR, January, 2025

2024

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation.

Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu

CoRR, 2024

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1, 000 Everyday Activities and Realistic Simulation.

Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Wensi Ai, Benjamin Jose Martinez, Hang Yin, Michael Lingelbach, Minjune Hwang, Ayano Hiranaka, Sujay Garlanka, Arman Aydin, Sharon Lee, Jiankai Sun, Mona Anvari, Manasi Sharma, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Yunzhu Li, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei

CoRR, 2024

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making.

Manling Li, Shiyu Zhao, Qineng Wang, Kangrui Wang, Yu Zhou, Sanjana Srivastava, Cem Gokmen, Tony Lee, Li Erran Li, Ruohan Zhang, Weiyu Liu, Percy Liang, Li Fei-Fei, Jiayuan Mao, Jiajun Wu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation.

Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning.

Shan Guleria, Benjamin Schwartz, Yash Sharma, Philip Fernandez, James A. Jablonski, Sodiq Adewole, Sanjana Srivastava, Fisher Rhoads, Michael D. Porter, Michelle Yeghyayan, Dylan Hyatt, Andrew Copland, Lubaina Ehsan, Donald E. Brown, Sana Syed

CoRR, 2023

2022

The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions.

Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix

Frontiers Comput. Neurosci., 2022

Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback.

Josh Abramson, Arun Ahuja, Federico Carnevale, Petko Georgiev, Alex Goldin, Alden Hung, Jessica Landon, Jirka Lhotka, Timothy P. Lillicrap, Alistair Muldal, George Powell, Adam Santoro, Guy Scully, Sanjana Srivastava, Tamara von Glehn, Greg Wayne, Nathaniel Wong, Chen Yan, Rui Zhu

CoRR, 2022

BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation.

Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Michael Lingelbach, Jiankai Sun, Mona Anvari, Minjune Hwang, Manasi Sharma, Arman Aydin, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei

Proceedings of the Conference on Robot Learning, 2022

2021

The Foes of Neural Network's Data Efficiency Among Unnecessary Input Dimensions.

Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix

CoRR, 2021

iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes.

Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Claudia Pérez-D'Arpino, Shyamal Buch, Sanjana Srivastava, Lyne Tchapmi, Micael Tchapmi, Kent Vainio, Josiah Wong, Li Fei-Fei, Silvio Savarese

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

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments.

Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Elliott Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks.

Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Elliott Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes.

Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D'Arpino, Sanjana Srivastava, Lyne P. Tchapmi, Micael E. Tchapmi, Kent Vainio, Li Fei-Fei, Silvio Savarese

CoRR, 2020

Identifying Learning Rules From Neural Network Observables.

Aran Nayebi, Sanjana Srivastava, Surya Ganguli, Daniel L. K. Yamins

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Minimal Images in Deep Neural Networks: Fragile Object Recognition in Natural Images.

Sanjana Srivastava, Guy Ben-Yosef, Xavier Boix

Proceedings of the 7th International Conference on Learning Representations, 2019