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Tejas D. Kulkarni

Observed names: Kulkarni, Tejas, Kulkarni, Tejas D, Kulkarni, Tejas D., Kulkarni, Tejas Dattatraya, Tejas D Kulkarni, Tejas Kulkarni
Observed institutions: Google (United States), Georgia Institute of Technology, University of Warwick, Qualcomm (United States), Google DeepMind (United Kingdom), MIT Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology
OpenAlex ID: A5109902974
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
2016 · Kulkarni, Tejas D., Narasimhan, Karthik R., et al. · arXiv (Cornell University) · 874
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Deep Convolutional Inverse Graphics Network
2015 · Kulkarni, Tejas D., Whitney, Will, et al. · arXiv (Cornell University) · 708
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Language Understanding for Text-based Games using Deep Reinforcement Learning
2015 · Karthik Narasimhan, Tejas Kulkarni, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 291
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Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks
2017 · Amir Arsalan Soltani, Haibin Huang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 185
Synthesizing Programs for Images using Reinforced Adversarial Learning
2018 · Ganin, Yaroslav, Kulkarni, Tejas, et al. · arXiv (Cornell University) · 143
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Picture: A probabilistic programming language for scene perception
2015 · Tejas D Kulkarni, Pushmeet Kohli, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 133
Deep Successor Reinforcement Learning
2016 · Kulkarni, Tejas D., Saeedi, Ardavan, et al. · arXiv (Cornell University) · 120
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Unsupervised Learning of Object Keypoints for Perception and Control
2019 · Kulkarni, Tejas, Gupta, Ankush, et al. · arXiv (Cornell University) · 116
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Self-Supervised Intrinsic Image Decomposition
2017 · Janner, Michael, Wu, Jiajun, et al. · arXiv (Cornell University) · 98
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Unsupervised Control Through Non-Parametric Discriminative Rewards
2018 · Warde-Farley, David, Van de Wiele, Tom, et al. · arXiv (Cornell University) · 61
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Learning to Perform Physics Experiments via Deep Reinforcement Learning
2016 · Denil, Misha, Agrawal, Pulkit, et al. · arXiv (Cornell University) · 58
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Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs
2013 · Mansinghka, Vikash K., Kulkarni, Tejas D., et al. · arXiv (Cornell University) · 55
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Understanding Visual Concepts with Continuation Learning
2016 · Whitney, William F., Chang, Michael, et al. · arXiv (Cornell University) · 37
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Unsupervised Doodling and Painting with Improved SPIRAL
2019 · Mellor, John F. J., Park, Eunbyung, et al. · arXiv (Cornell University) · 25
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Variational Particle Approximations
2014 · Saeedi, Ardavan, Kulkarni, Tejas D, et al. · arXiv (Cornell University) · 23
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Efficient analysis-by-synthesis in vision: A computational framework, behavioral tests, and modeling neuronal representations.
2015 · Ilker Yildirim, Tejas D. Kulkarni, et al. · Cognitive Science · 21
Representation Matters: Improving Perception and Exploration for Robotics
2021 · Markus Wulfmeier, Arunkumar Byravan, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 13
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Inverse Graphics with Probabilistic CAD Models
2014 · Kulkarni, Tejas D., Mansinghka, Vikash K., et al. · arXiv (Cornell University) · 13
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Applying mobile device soft keyboards to collaborative multitouch tabletop displays
2011 · Sungahn Ko, KyungTae Kim, et al. · ACM International Conference on Interactive Tabletops and Surfaces (ITS) · 9
Learning to Control Visual Abstractions for Structured Exploration in Deep Reinforcement Learning
2018 · Catalin Ionescu, Tejas Kulkarni, et al. · 2
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning
2018 · Agrawal, Aishwarya, Malinowski, Mateusz, et al. · arXiv (Cornell University) · 1
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Learning to Generalize Intrinsic Images with a Structured Disentangling Autoencoder
2017 · Michael Jänner, Jiajun Wu, et al. · neural information processing systems · 1
Learning structured representations for perception and control
2016 · Tejas D. Kulkarni · DSpace@MIT (Massachusetts Institute of Technology)
A fast and intuitive visual programming language (VPL) for constructing Computer Vision and Image processing systems on GPUs
2011 · Tejas D. Kulkarni
Works count: 32
Citation count: 2,987
H-index: 16
I10-index: 18
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