Tejas D. Kulkarni

According to our database, Tejas D. Kulkarni authored at least 18 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Practical Differentially Private Hyperparameter Tuning with Subsampling.

Antti Koskela, Tejas D. Kulkarni

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Unsupervised Control Through Non-Parametric Discriminative Rewards.

David Warde-Farley, Tom Van de Wiele, Tejas D. Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih

Proceedings of the 7th International Conference on Learning Representations, 2019

2017

Variational Particle Approximations.

Ardavan Saeedi, Tejas D. Kulkarni, Vikash K. Mansinghka, Samuel J. Gershman

J. Mach. Learn. Res., 2017

Self-Supervised Intrinsic Image Decomposition.

Michael Janner, Jiajun Wu, Tejas D. Kulkarni, Ilker Yildirim, Josh Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 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

Proceedings of the 5th International Conference on Learning Representations, 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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Understanding Visual Concepts with Continuation Learning.

William F. Whitney, Michael Chang, Tejas D. Kulkarni, Joshua B. Tenenbaum

CoRR, 2016

Deep Successor Reinforcement Learning.

Tejas D. Kulkarni, Ardavan Saeedi, Simanta Gautam, Samuel J. Gershman

CoRR, 2016

Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation.

Tejas D. Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Josh Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Deep Convolutional Inverse Graphics Network.

Tejas D. Kulkarni, William F. Whitney, Pushmeet Kohli, Joshua B. Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Language Understanding for Text-based Games using Deep Reinforcement Learning.

Karthik Narasimhan, Tejas D. Kulkarni, Regina Barzilay

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Picture: A probabilistic programming language for scene perception.

Tejas D. Kulkarni, Pushmeet Kohli, Joshua B. Tenenbaum, Vikash Mansinghka

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Efficient analysis-by-synthesis in vision: A computational framework, behavioral tests, and modeling neuronal representations.

Ilker Yildirim, Tejas D. Kulkarni, Winrich Freiwald, Joshua B. Tenenbaum

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Variational Particle Approximations.

Tejas D. Kulkarni, Ardavan Saeedi, Samuel Gershman

CoRR, 2014

Inverse Graphics with Probabilistic CAD Models.

Tejas D. Kulkarni, Vikash K. Mansinghka, Pushmeet Kohli, Joshua B. Tenenbaum

CoRR, 2014

2013

Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs.

Vikash K. Mansinghka, Tejas D. Kulkarni, Yura N. Perov, Joshua B. Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2011

Applying mobile device soft keyboards to collaborative multitouch tabletop displays: design and evaluation.

Sungahn Ko, KyungTae Kim, Tejas D. Kulkarni, Niklas Elmqvist

Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces, 2011