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Journal Articles
- 2022
[j2]Rudrasis Chakraborty
, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri:
ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 799-810 (2022)- [j1]Monami Banerjee, Rudrasis Chakraborty, Jose Bouza, Baba C. Vemuri:
VolterraNet: A Higher Order Convolutional Network With Group Equivariance for Homogeneous Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 823-833 (2022)
Conference and Workshop Papers
- 2023
- [c4]Jose J. Bouza, Chun-Hao Yang, Baba C. Vemuri:
Geometric Deep Learning for Unsupervised Registration of Diffusion Magnetic Resonance Images. IPMI 2023: 563-575 - 2021
- [c3]Matthew Wheeler, Jose Bouza, Peter Bubenik:
Activation Landscapes as a Topological Summary of Neural Network Performance. IEEE BigData 2021: 3865-3870 - [c2]Jose J. Bouza, Chun-Hao Yang, David E. Vaillancourt, Baba C. Vemuri:
A Higher Order Manifold-Valued Convolutional Neural Network with Applications to Diffusion MRI Processing. IPMI 2021: 304-317 - 2019
- [c1]Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri:
A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging. IPMI 2019: 112-124
Informal and Other Publications
- 2021
- [i4]Monami Banerjee, Rudrasis Chakraborty, Jose Bouza, Baba C. Vemuri:
VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds. CoRR abs/2106.15301 (2021) - [i3]Matthew Wheeler, Jose Bouza, Peter Bubenik:
Activation Landscapes as a Topological Summary of Neural Network Performance. CoRR abs/2110.10136 (2021) - 2020
- [i2]Jose J. Bouza, Chun-Hao Yang, David E. Vaillancourt, Baba C. Vemuri:
MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications. CoRR abs/2003.01234 (2020) - 2018
- [i1]Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri:
ManifoldNet: A Deep Network Framework for Manifold-valued Data. CoRR abs/1809.06211 (2018)
Coauthor Index
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