Does this app really need my location?: Context-aware privacy management for smartphones S Chitkara, N Gothoskar, S Harish, JI Hong, Y Agarwal Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017 | 101 | 2017 |
Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps D George, RV Rikhye, N Gothoskar, JS Guntupalli, A Dedieu, ... Nature communications 12 (1), 1-17, 2021 | 76 | 2021 |
3DP3: 3D scene perception via probabilistic programming N Gothoskar, M Cusumano-Towner, B Zinberg, M Ghavamizadeh, ... Advances in Neural Information Processing Systems 34, 9600-9612, 2021 | 45 | 2021 |
Learning higher-order sequential structure with cloned HMMs A Dedieu, N Gothoskar, S Swingle, W Lehrach, M Lázaro-Gredilla, ... arXiv preprint arXiv:1905.00507, 2019 | 14 | 2019 |
Memorize-Generalize: An online algorithm for learning higher-order sequential structure with cloned Hidden Markov Models RV Rikhye, JS Guntupalli, N Gothoskar, M Lázaro-Gredilla, D George BioRxiv, 764456, 2019 | 11 | 2019 |
Smcp3: Sequential monte carlo with probabilistic program proposals AK Lew, G Matheos, T Zhi-Xuan, M Ghavamizadeh, N Gothoskar, ... International conference on artificial intelligence and statistics, 7061-7088, 2023 | 10 | 2023 |
Solving the baby intuitions benchmark with a hierarchically bayesian theory of mind T Zhi-Xuan, N Gothoskar, F Pollok, D Gutfreund, JB Tenenbaum, ... arXiv preprint arXiv:2208.02914, 2022 | 8 | 2022 |
Query training: Learning a worse model to infer better marginals in undirected graphical models with hidden variables M Lázaro-Gredilla, W Lehrach, N Gothoskar, G Zhou, A Dedieu, D George Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8252-8260, 2021 | 8* | 2021 |
Learning cognitive maps as structured graphs for vicarious evaluation RV Rikhye, N Gothoskar, JS Guntupalli, A Dedieu, M Lázaro-Gredilla, ... bioRxiv, 864421, 2020 | 8 | 2020 |
Learning a generative model for robot control using visual feedback N Gothoskar, M Lázaro-Gredilla, A Agarwal, Y Bekiroglu, D George arXiv preprint arXiv:2003.04474, 2020 | 6 | 2020 |
3d neural embedding likelihood: Probabilistic inverse graphics for robust 6d pose estimation G Zhou, N Gothoskar, L Wang, JB Tenenbaum, D Gutfreund, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4* | 2023 |
Method and system for robot control using visual feedback N Gothoskar, M Lazaro-Gredilla, Y Bekiroglu, A Agarwal, D George US Patent 11,173,610, 2021 | 3 | 2021 |
DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model N Gothoskar, M Lazaro-Gredilla, Y Bekiroglu, A Agarwal, JB Tenenbaum, ... 2022 International Conference on Robotics and Automation (ICRA), 6674-6680, 2022 | 2 | 2022 |
Learning cognitive maps as structured graphs for vicarious evaluation. bioRxiv RV Rikhye, N Gothoskar, JS Guntupalli, A Dedieu, M Lázaro-Gredilla, ... | 2 | 2019 |
Method and system for determining and using a cloned hidden markov model N Gothoskar, D George, M Larzaro-Gredilla US Patent App. 16/853,539, 2020 | 1 | 2020 |
Different clones for different contexts: Hippocampal cognitive maps as higher-order graphs of a cloned HMM N Gothoskar, JS Guntupalli, RV Rikhye, M Lázaro-Gredilla, D George bioRxiv, 745950, 2019 | 1 | 2019 |
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness A Curtis, G Matheos, N Gothoskar, V Mansinghka, J Tenenbaum, ... arXiv preprint arXiv:2403.10454, 2024 | | 2024 |
Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes N Gothoskar, M Ghavami, E Li, A Curtis, M Noseworthy, K Chung, ... arXiv preprint arXiv:2312.08715, 2023 | | 2023 |
RGB-D Likelihood for 3D Inverse Graphics N Gothoskar Massachusetts Institute of Technology, 2023 | | 2023 |
Method and system for query training M Lazaro-Gredilla, W Lehrach, N Gothoskar, Z GuangYao, A Dedieu, ... US Patent App. 17/482,896, 2022 | | 2022 |