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Nishad Gothoskar

◀ ▶ joint publications with Joshua B. Tenenbaum

> Home > Persons > Nishad Gothoskar

Publications

2025
[c8]
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  - conf/cogsci/WangGT025
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Haoliang Wang, Nishad Gothoskar, Joshua B. Tenenbaum, Kevin A. Smith:
From pixels to physics: an image-computable model of physical predictions. CogSci 2025
2024
[c6]
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  - conf/rss/CurtisMG0TLK24
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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. Robotics: Science and Systems 2024
[i10]
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  - journals/corr/abs-2403-10454
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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
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  - conf/iccv/ZhouGWTGLGM23
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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]
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  - journals/corr/abs-2302-03744
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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]
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  - journals/corr/abs-2312-08715
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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]
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  - conf/icra/GothoskarLBATMG22
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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]
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  - journals/corr/abs-2202-03697
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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]
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  - journals/corr/abs-2208-02914
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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
[c1]
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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]
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  - journals/corr/abs-2111-00312
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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)

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