Alert button
Picture for Miguel R. D. Rodrigues

Miguel R. D. Rodrigues

Alert button

Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding

Sep 12, 2023
Shaik Basheeruddin Shah, Pradyumna Pradhan, Wei Pu, Ramunaidu Randhi, Miguel R. D. Rodrigues, Yonina C. Eldar

Figure 1 for Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding
Figure 2 for Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding
Figure 3 for Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding
Figure 4 for Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding
Viaarxiv icon

Generalization and Estimation Error Bounds for Model-based Neural Networks

Apr 19, 2023
Avner Shultzman, Eyar Azar, Miguel R. D. Rodrigues, Yonina C. Eldar

Figure 1 for Generalization and Estimation Error Bounds for Model-based Neural Networks
Figure 2 for Generalization and Estimation Error Bounds for Model-based Neural Networks
Figure 3 for Generalization and Estimation Error Bounds for Model-based Neural Networks
Figure 4 for Generalization and Estimation Error Bounds for Model-based Neural Networks
Viaarxiv icon

Learning Algorithm Generalization Error Bounds via Auxiliary Distributions

Oct 02, 2022
Gholamali Aminian, Saeed Masiha, Laura Toni, Miguel R. D. Rodrigues

Figure 1 for Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
Figure 2 for Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
Figure 3 for Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
Figure 4 for Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
Viaarxiv icon

Theoretical Perspectives on Deep Learning Methods in Inverse Problems

Jun 29, 2022
Jonathan Scarlett, Reinhard Heckel, Miguel R. D. Rodrigues, Paul Hand, Yonina C. Eldar

Figure 1 for Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Figure 2 for Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Figure 3 for Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Figure 4 for Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Viaarxiv icon

An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift

Feb 24, 2022
Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues

Figure 1 for An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
Figure 2 for An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
Figure 3 for An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
Figure 4 for An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
Viaarxiv icon

Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover

Oct 20, 2021
Wei Pu, Chao Zhou, Yonina C. Eldar, Miguel R. D. Rodrigues

Figure 1 for Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover
Figure 2 for Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover
Figure 3 for Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover
Figure 4 for Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover
Viaarxiv icon

Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information

Jul 28, 2021
Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory Wornell

Viaarxiv icon

Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms

Feb 03, 2021
Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues

Figure 1 for Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms
Figure 2 for Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms
Figure 3 for Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms
Viaarxiv icon

Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms

Oct 23, 2020
Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues

Figure 1 for Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms
Viaarxiv icon

Image Separation with Side Information: A Connected Auto-Encoders Based Approach

Sep 16, 2020
Wei Pu, Barak Sober, Nathan Daly, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues

Figure 1 for Image Separation with Side Information: A Connected Auto-Encoders Based Approach
Figure 2 for Image Separation with Side Information: A Connected Auto-Encoders Based Approach
Figure 3 for Image Separation with Side Information: A Connected Auto-Encoders Based Approach
Figure 4 for Image Separation with Side Information: A Connected Auto-Encoders Based Approach
Viaarxiv icon