Wei Zhu

Benjamin J. Zhang

CoRR, 2024

Learning heavy-tailed distributions with Wasserstein-proximal-regularized α-divergences.

[BibT_eX]

[DOI]

Ziyu Chen

Hyemin Gu

CoRR, 2024

2023

Statistical Guarantees of Group-Invariant GANs.

[BibT_eX]

[DOI]

Ziyu Chen

CoRR, 2023

Sample Complexity of Probability Divergences under Group Symmetry.

[BibT_eX]

[DOI]

Ziyu Chen

Proceedings of the International Conference on Machine Learning, 2023

2022

Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Structure-preserving GANs.

[BibT_eX]

[DOI]

Jeremiah Birrell

Proceedings of the International Conference on Machine Learning, 2022

2019

Hyperspectral Anomaly Detection via Global and Local Joint Modeling of Background.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2019

Constructing curvelet-like bases and low-redundancy frames.

[BibT_eX]

[DOI]

Ingrid Daubechies

CoRR, 2019

Scale-Equivariant Neural Networks with Decomposed Convolutional Filters.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Generalization of the Weighted Nonlocal Laplacian in Low Dimensional Manifold Model.

[BibT_eX]

[DOI]

J. Sci. Comput., 2018

Scientific data interpolation with low dimensional manifold model.

[BibT_eX]

[DOI]

J. Comput. Phys., 2018

Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Learning with Data Dependent Implicit Activation Function.

[BibT_eX]

[DOI]

CoRR, 2018

Scalable Low Dimensional Manifold Model In The Reconstruction Of Noisy And Incomplete Hyperspectral Images.

[BibT_eX]

[DOI]

Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Deep Neural Nets with Interpolating Function as Output Activation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

LDMNet: Low Dimensional Manifold Regularized Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Nonlocal Variational Methods in Image and Data Processing.

[BibT_eX]

[DOI]

PhD thesis, 2017

Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2017

Low Dimensional Manifold Model for Image Processing.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2017

Weighted Nonlocal Laplacian on Interpolation from Sparse Data.

[BibT_eX]

[DOI]

J. Sci. Comput., 2017

Pre-processing and classification of hyperspectral imagery via selective inpainting.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Low dimensional manifold model in hyperspectral image reconstruction.

[BibT_eX]

[DOI]