| igibson 2.0: Object-centric simulation for robot learning of everyday household tasks C Li, F Xia, R Martín-Martín, M Lingelbach, S Srivastava, B Shen, K Vainio, ... arXiv preprint arXiv:2108.03272, 2021 | 161 | 2021 |
| igibson 1.0: a simulation environment for interactive tasks in large realistic scenes B Shen, F Xia, C Li, R Martín-Martín, L Fan, G Wang, C Pérez-D’Arpino, ... 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 133 | 2021 |
| Behavior: Benchmark for everyday household activities in virtual, interactive, and ecological environments S Srivastava, C Li, M Lingelbach, R Martín-Martín, F Xia, KE Vainio, Z Lian, ... Conference on robot learning, 477-490, 2022 | 114 | 2022 |
| Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation C Li, R Zhang, J Wong, C Gokmen, S Srivastava, R Martín-Martín, C Wang, ... Conference on Robot Learning, 80-93, 2023 | 96 | 2023 |
| A machine learning-based analysis of game data for attention deficit hyperactivity disorder assessment MD Heller, K Roots, S Srivastava, J Schumann, J Srivastava, TS Hale GAMES FOR HEALTH: Research, Development, and Clinical Applications 2 (5 …, 2013 | 44 | 2013 |
| Minimal images in deep neural networks: Fragile object recognition in natural images S Srivastava, G Ben-Yosef, X Boix arXiv preprint arXiv:1902.03227, 2019 | 27 | 2019 |
| Improving multimodal interactive agents with reinforcement learning from human feedback J Abramson, A Ahuja, F Carnevale, P Georgiev, A Goldin, A Hung, ... arXiv preprint arXiv:2211.11602, 2022 | 25 | 2022 |
| Identifying learning rules from neural network observables A Nayebi, S Srivastava, S Ganguli, DL Yamins Advances in Neural Information Processing Systems 33, 2639-2650, 2020 | 24 | 2020 |
| Predictive executive functioning models using interactive tangible-graphical interface devices KE Roots, MD Roots, J Srivastava, S Srivastava US Patent 9,324,241, 2016 | 13 | 2016 |
| Vector space methods towards the assessment and improvement of neurological conditions K Roots, MD Roots, J Srivastava, S Srivastava US Patent 9,867,562, 2018 | 9 | 2018 |
| Complex behavior of polymers as drag reducing agents through pipe fittings I Sreedhar, A Sai Darshan, S Srivastava, V Jain Journal of Applied Fluid Mechanics 11 (2), 467-474, 2018 | 5 | 2018 |
| The data efficiency of deep learning is degraded by unnecessary input dimensions V D'Amario, S Srivastava, T Sasaki, X Boix Frontiers in Computational Neuroscience 16, 760085, 2022 | 4 | 2022 |
| Behavior-1k: A human-centered, embodied ai benchmark with 1,000 everyday activities and realistic simulation C Li, R Zhang, J Wong, C Gokmen, S Srivastava, R Martín-Martín, C Wang, ... arXiv preprint arXiv:2403.09227, 2024 | 3 | 2024 |
| Synthesis of Indeno (2, 1‐c) isocoumarins and Indeno (2, 1‐c) isoquinolones. Part 2. S Srivastava, P Kumar, SN Thakur, LK Sahay, JN Srivastava ChemInform 21 (4), no-no, 1990 | 2 | 1990 |
| Quantitative morphometry and machine learning model to explore duodenal and rectal mucosal tissue of children with environmental enteric dysfunction M Khan, Z Jamil, L Ehsan, F Zulqarnain, S Srivastava, S Siddiqui, ... The American journal of tropical medicine and hygiene 108 (4), 672, 2023 | 1 | 2023 |
| Synthesis of Tetraleno (3, 4‐c) isocoumarins and Tetraleno (3, 4‐c) isoquinolones. JN Srivastava, P Kumar, SN Thakur, LK Sahay, S Srivastava ChemInform 21 (47), no-no, 1990 | 1 | 1990 |
| 956 WHAT IS NORMAL? CHARACTERIZATION OF CONTROL PEDIATRIC DUODENAL BIOPSIES USING CLINICAL DATA, MACHINE LEARNING IMAGE ANALYSIS, AND TRANSCRIPTOMICS J Sessions, F Rhoads, S Srivastava, F Zulqarnain, V Jain, S Raghavan, ... Gastroenterology 166 (5), S-225-S-226, 2024 | | 2024 |
| Machine-learning-based integrative–‘omics analyses reveal immunologic and metabolic dysregulation in environmental enteric dysfunction F Zulqarnain, X Zhao, KDR Setchell, Y Sharma, P Fernandes, ... iScience, 2024 | | 2024 |
| Efficacy Of Synthetic Histopathological Images In Enhancing Nuclei Segmentation Tasks S Srivastava, A Shrivastava, SF Rhoads, T Fletcher, S Syed, DE Brown Medical Imaging with Deep Learning, 2024 | | 2024 |
| BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation Y Ge, Y Tang, J Xu, C Gokmen, C Li, W Ai, BJ Martinez, A Aydin, M Anvari, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
