Nishad Gothoskar

20 papers A* 5A 1B 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Flow-based Domain Randomization for Learning and Sequencing Robotic Skills.
ICML
Aidan Curtis, Eric Li, Michael Noseworthy, Nishad Gothoskar, Sachin Chitta, Hui Li, Leslie Pack Kaelbling, Nicole E. Carey
2025 J jnl
Flow-based Domain Randomization for Learning and Sequencing Robotic Skills.
CoRR
Aidan Curtis, Eric Li, Michael Noseworthy, Nishad Gothoskar, Sachin Chitta, Hui Li, Leslie Pack Kaelbling, Nicole Carey
2025 B conf
From pixels to physics: an image-computable model of physical predictions.
CogSci
Haoliang Wang, Nishad Gothoskar, Joshua B. Tenenbaum, Kevin A. Smith
2024 — conf
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness.
Robotics: Science and Systems
Aidan Curtis, George Matheos, Nishad Gothoskar, Vikash Mansinghka, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2024 J jnl
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness.
CoRR
Aidan Curtis, George Matheos, Nishad Gothoskar, Vikash Mansinghka, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2023 J jnl
3D Neural Embedding Likelihood for Robust Sim-to-Real Transfer in Inverse Graphics.
CoRR
Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka
2023 A* conf
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation.
ICCV
Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka
2023 J jnl
Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes.
CoRR
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
2023 A conf
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals.
AISTATS
Alexander K. Lew, George Matheos, Tan Zhi-Xuan, Matin Ghavamizadeh, Nishad Gothoskar, Stuart Russell, Vikash K. Mansinghka
2022 A* conf
DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model.
ICRA
Nishad Gothoskar, Miguel Lázaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George
2022 J jnl
DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model.
CoRR
Nishad Gothoskar, Miguel Lázaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George
2022 J jnl
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind.
CoRR
Tan Zhi-Xuan, Nishad Gothoskar, Falk Pollok, Dan Gutfreund, Joshua B. Tenenbaum, Vikash K. Mansinghka
2021 A* conf
3DP3: 3D Scene Perception via Probabilistic Programming.
NeurIPS
Nishad Gothoskar, Marco F. Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Josh Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka
2021 J jnl
3DP3: 3D Scene Perception via Probabilistic Programming.
CoRR
Nishad Gothoskar, Marco F. Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Joshua B. Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka
2021 A* conf
Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables.
AAAI
Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George
2020 J jnl
From proprioception to long-horizon planning in novel environments: A hierarchical RL model.
CoRR
Nishad Gothoskar, Miguel Lázaro-Gredilla, Dileep George
2020 J jnl
Learning a generative model for robot control using visual feedback.
CoRR
Nishad Gothoskar, Miguel Lázaro-Gredilla, Abhishek Agarwal, Yasemin Bekiroglu, Dileep George
2020 J jnl
Query Training: Learning and inference for directed and undirected graphical models.
CoRR
Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George
2019 J jnl
Learning higher-order sequential structure with cloned HMMs.
CoRR
Antoine Dedieu, Nishad Gothoskar, Scott Swingle, Wolfgang Lehrach, Miguel Lázaro-Gredilla, Dileep George
2017 J jnl
Does this App Really Need My Location?: Context-Aware Privacy Management for Smartphones.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Saksham Chitkara, Nishad Gothoskar, Suhas Harish, Jason I. Hong, Yuvraj Agarwal