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Disambiguation of "Chakraborty, Rudrasis"

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A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging.

, , , and . IPMI, volume 11492 of Lecture Notes in Computer Science, page 112-124. Springer, (2019)

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Sourav Chakraborty

Dipanjan Chakraborty

Anirban Chakraborty

Asok Chakraborty

Martin Chakraborty

 

Other publications of authors with the same name

ManifoldNorm: Extending normalizations on Riemannian Manifolds.. CoRR, (2020)Statistical analysis of longitudinal data and applications to neuro-imaging., and . ICIP, page 211-214. IEEE, (2017)Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention, , , , , , and . (2021)cite arxiv:2102.03902Comment: AAAI 2021; Code and supplement available at https://github.com/mlpen/Nystromformer.A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices., , , , , , , and . NeurIPS, page 8897-8908. (2018)On the Versatile Uses of Partial Distance Correlation in Deep Learning., , , and . ECCV (26), volume 13686 of Lecture Notes in Computer Science, page 327-346. Springer, (2022)Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data., , , , and . ICCV, page 10620-10630. IEEE, (2019)A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging., , , and . IPMI, volume 11492 of Lecture Notes in Computer Science, page 112-124. Springer, (2019)Sensor (Group Feature) Selection with Controlled Redundancy in a Connectionist Framework., , and . Int. J. Neural Syst., (2014)Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis., , , , and . MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 719-727. Springer, (2015)Flow-based Generative Models for Learning Manifold to Manifold Mappings., , , and . AAAI, page 11042-11052. AAAI Press, (2021)