Follow
Nishad Gothoskar
Nishad Gothoskar
PhD Student at MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
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
1042017
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
842021
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
522021
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
172019
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
142023
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
112019
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
102022
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
82020
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
62020
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
52024
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
32021
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
22022
Learning cognitive maps as structured graphs for vicarious evaluation. bioRxiv
RV Rikhye, N Gothoskar, JS Guntupalli, A Dedieu, M Lázaro-Gredilla, ...
22019
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
12023
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
12019
Find the Orange: How rich and accurate is the visual percept that guides action?
A Zoroufi, N Gothoskar, J Tenenbaum, N Kanwisher
Journal of Vision 24 (10), 1120-1120, 2024
2024
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
The system can't perform the operation now. Try again later.
Articles 1–20