Nishad Gothoskar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Pose Estimation

Models With Hidden Variables

Generative Model

Top Venues

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Publications

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 (2024)
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 (2023)
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 (2023)
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)
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)
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)
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 (2022)
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 (2022)
Nishad Gothoskar, Marco 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)
Nishad Gothoskar, Marco 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 (2021)
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)
Nishad Gothoskar, Miguel Lázaro-Gredilla, Abhishek Agarwal, Yasemin Bekiroglu, Dileep George
Learning a generative model for robot control using visual feedback. CoRR (2020)
Nishad Gothoskar, Miguel Lázaro-Gredilla, Dileep George
From proprioception to long-horizon planning in novel environments: A hierarchical RL model. CoRR (2020)
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 (2020)
Antoine Dedieu, Nishad Gothoskar, Scott Swingle, Wolfgang Lehrach, Miguel Lázaro-Gredilla, Dileep George
Learning higher-order sequential structure with cloned HMMs. CoRR (2019)
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) (2017)