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IEEE Transactions on Pattern Analysis and Machine Intelligence|May 10, 2020
Intrinsic Grassmann Averages for Online Linear, Robust and Nonlinear Subspace LearningRudrasis Chakraborty, Liu Yang, Soren Hauberg, et al.
Proceedings. IEEE International Conference on Computer Vision|June 10, 2020
A geometric framework for statistical analysis of trajectories with distinct temporal spansRudrasis Chakraborty, Vikas Singh, Nagesh Adluru, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 5, 2020
VolterraNet: A Higher Order Convolutional Network With Group Equivariance for Homogeneous ManifoldsMonami Banerjee, Rudrasis Chakraborty, Jose Bouza, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 6, 2020
ManifoldNet: A Deep Neural Network for Manifold-Valued Data With ApplicationsRudrasis Chakraborty, Jose Bouza, Jonathan H Manton, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 26, 2016
Nonlinear regression on Riemannian manifolds and its applications to Neuro-image analysisMonami Banerjee, Rudrasis Chakraborty, Edward Ofori, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 6, 2015
Principal Curves on Riemannian ManifoldsSoren Hauberg
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.
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
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