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Rudrasis Chakraborty

Showing results (1-10 of 23) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|December 23, 2014
Feature selection using a neural framework with controlled redundancyRudrasis Chakraborty, Nikhil R Pal
Proceedings of Machine Learning Research|May 3, 2023
Forward Operator Estimation in Generative Models with Kernel Transfer OperatorsZhichun Huang, Rudrasis Chakraborty, Vikas Singh
Advances in Neural Information Processing Systems|June 24, 2022
An Online Riemannian PCA for Stochastic Canonical Correlation AnalysisZihang Meng, Rudrasis Chakraborty, Vikas Singh
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|November 12, 2021
Simpler Certified Radius Maximization by Propagating CovariancesXingjian Zhen, Rudrasis Chakraborty, Vikas Singh
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 1, 2021
Transformer for 3D Point CloudsJiayun Wang, Rudrasis Chakraborty, Stella X Yu
IEEE Transactions on Neural Networks and Learning Systems|November 10, 2020
SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation ManifoldRudrasis Chakraborty, Yifei Xing, Stella X Yu
Proceedings. IEEE International Conference on Computer Vision|March 16, 2022
Scaling Recurrent Models via Orthogonal Approximations in Tensor TrainsRonak Mehta, Rudrasis Chakraborty, Yunyang Xiong, et al.
International Journal of Neural Systems|August 2, 2014
Sensor (group feature) selection with controlled redundancy in a connectionist frameworkRudrasis Chakraborty, Chin-Teng Lin, Nikhil R Pal
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|August 30, 2021
Flow-based Generative Models for Learning Manifold to Manifold MappingsXingjian Zhen, Rudrasis Chakraborty, Liu Yang, et al.
Computer Vision - ECCV ... : ... European Conference on Computer Vision : Proceedings. European Conference on Computer Vision|May 31, 2023
On the Versatile Uses of Partial Distance Correlation in Deep LearningXingjian Zhen, Zihang Meng, Rudrasis Chakraborty, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Neural Networks and Learning Systems|December 23, 2014
Feature selection using a neural framework with controlled redundancyRudrasis Chakraborty, Nikhil R Pal
Proceedings of Machine Learning Research|May 3, 2023
Forward Operator Estimation in Generative Models with Kernel Transfer OperatorsZhichun Huang, Rudrasis Chakraborty, Vikas Singh
Advances in Neural Information Processing Systems|June 24, 2022
An Online Riemannian PCA for Stochastic Canonical Correlation AnalysisZihang Meng, Rudrasis Chakraborty, Vikas Singh
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|November 12, 2021
Simpler Certified Radius Maximization by Propagating CovariancesXingjian Zhen, Rudrasis Chakraborty, Vikas Singh
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 1, 2021
Transformer for 3D Point CloudsJiayun Wang, Rudrasis Chakraborty, Stella X Yu
IEEE Transactions on Neural Networks and Learning Systems|November 10, 2020
SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation ManifoldRudrasis Chakraborty, Yifei Xing, Stella X Yu
Proceedings. IEEE International Conference on Computer Vision|March 16, 2022
Scaling Recurrent Models via Orthogonal Approximations in Tensor TrainsRonak Mehta, Rudrasis Chakraborty, Yunyang Xiong, et al.
International Journal of Neural Systems|August 2, 2014
Sensor (group feature) selection with controlled redundancy in a connectionist frameworkRudrasis Chakraborty, Chin-Teng Lin, Nikhil R Pal
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|August 30, 2021
Flow-based Generative Models for Learning Manifold to Manifold MappingsXingjian Zhen, Rudrasis Chakraborty, Liu Yang, et al.
Computer Vision - ECCV ... : ... European Conference on Computer Vision : Proceedings. European Conference on Computer Vision|May 31, 2023
On the Versatile Uses of Partial Distance Correlation in Deep LearningXingjian Zhen, Zihang Meng, Rudrasis Chakraborty, et al.
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