Kulkarni, Tejas D.

10 publications

NeurIPS 2023 Practical Differentially Private Hyperparameter Tuning with Subsampling Antti Koskela, Tejas D Kulkarni

NeurIPS 2019 Unsupervised Learning of Object Keypoints for Perception and Control Tejas D Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Volodymyr Mnih

ICLR 2017 Learning to Perform Physics Experiments via Deep Reinforcement Learning Misha Denil, Pulkit Agrawal, Tejas D. Kulkarni, Tom Erez, Peter W. Battaglia, Nando de Freitas

NeurIPS 2017 Self-Supervised Intrinsic Image Decomposition Michael Janner, Jiajun Wu, Tejas D Kulkarni, Ilker Yildirim, Josh Tenenbaum

CVPR 2017 Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative Networks Amir Arsalan Soltani, Haibin Huang, Jiajun Wu, Tejas D. Kulkarni, Joshua B. Tenenbaum

JMLR 2017 Variational Particle Approximations Ardavan Saeedi, Tejas D. Kulkarni, Vikash K. Mansinghka, Samuel J. Gershman

NeurIPS 2016 Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Josh Tenenbaum

NeurIPS 2015 Deep Convolutional Inverse Graphics Network Tejas D Kulkarni, William F. Whitney, Pushmeet Kohli, Josh Tenenbaum

CVPR 2015 Picture: A Probabilistic Programming Language for Scene Perception Tejas D. Kulkarni, Pushmeet Kohli, Joshua B. Tenenbaum, Vikash Mansinghka

NeurIPS 2013 Approximate Bayesian Image Interpretation Using Generative Probabilistic Graphics Programs Vikash K Mansinghka, Tejas D Kulkarni, Yura N Perov, Josh Tenenbaum