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ORCIDNishad Gothoskar
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2020 – today
- 2024
[i10]Aidan Curtis, George Matheos, Nishad Gothoskar, Vikash Mansinghka, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness. CoRR abs/2403.10454 (2024)- 2023
- [c5]Alexander K. Lew, George Matheos, Tan Zhi-Xuan, Matin Ghavamizadeh, Nishad Gothoskar, Stuart Russell, Vikash K. Mansinghka:
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals. AISTATS 2023: 7061-7088 - [c4]Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka:
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation. ICCV 2023: 21568-21579 - [i9]Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka:
3D Neural Embedding Likelihood for Robust Sim-to-Real Transfer in Inverse Graphics. CoRR abs/2302.03744 (2023) - [i8]Nishad Gothoskar, Matin Ghavami, Eric Li, Aidan Curtis, Michael Noseworthy, Karen Chung, Brian Patton, William T. Freeman, Joshua B. Tenenbaum, Mirko Klukas, Vikash K. Mansinghka:
Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes. CoRR abs/2312.08715 (2023) - 2022
- [c3]Nishad Gothoskar, Miguel Lázaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George:
DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model. ICRA 2022: 6674-6680 - [i7]Nishad Gothoskar, Miguel Lázaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George:
DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model. CoRR abs/2202.03697 (2022) - [i6]Tan Zhi-Xuan, Nishad Gothoskar, Falk Pollok, Dan Gutfreund, Joshua B. Tenenbaum, Vikash K. Mansinghka:
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind. CoRR abs/2208.02914 (2022) - 2021
- [c2]Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George:
Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables. AAAI 2021: 8252-8260 - [c1]Nishad Gothoskar, Marco F. Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Josh Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka:
3DP3: 3D Scene Perception via Probabilistic Programming. NeurIPS 2021: 9600-9612 - [i5]Nishad Gothoskar, Marco F. Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Joshua B. Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka:
3DP3: 3D Scene Perception via Probabilistic Programming. CoRR abs/2111.00312 (2021) - 2020
- [i4]Nishad Gothoskar, Miguel Lázaro-Gredilla, Abhishek Agarwal, Yasemin Bekiroglu, Dileep George:
Learning a generative model for robot control using visual feedback. CoRR abs/2003.04474 (2020) - [i3]Nishad Gothoskar, Miguel Lázaro-Gredilla, Dileep George:
From proprioception to long-horizon planning in novel environments: A hierarchical RL model. CoRR abs/2006.06620 (2020) - [i2]Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George:
Query Training: Learning and inference for directed and undirected graphical models. CoRR abs/2006.06803 (2020)
2010 – 2019
- 2019
- [i1]Antoine Dedieu, Nishad Gothoskar, Scott Swingle, Wolfgang Lehrach, Miguel Lázaro-Gredilla, Dileep George:
Learning higher-order sequential structure with cloned HMMs. CoRR abs/1905.00507 (2019) - 2017
- [j1]Saksham Chitkara, Nishad Gothoskar, Suhas Harish, Jason I. Hong, Yuvraj Agarwal:
Does this App Really Need My Location?: Context-Aware Privacy Management for Smartphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 42:1-42:22 (2017)
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