León Suárez-Rodríguez

Orcid: 0009-0004-0685-8793

According to our database1, León Suárez-Rodríguez authored at least 11 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DIPA: Distilled Preconditioned Algorithms for Solving Imaging Inverse Problems.
CoRR, May, 2026

2025
Distilling Knowledge for Designing Computational Imaging Systems.
IEEE Trans. Computational Imaging, 2025

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Learning to Reconstruct Signals With Inexact Sensing Operator via Knowledge Distillation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Improving Compressive Imaging Recovery via Measurement Augmentation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Compressive Imaging Reconstruction via Conditional Diffusion Model With Augmented Measurements.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction.
Proceedings of the 10th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2025

UTOPY: Unrolling Algorithm Learning via Fidelity Homotopy for Inverse Problems.
Proceedings of the 10th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2025

Deep Distillation Gradient Preconditioning for Inverse Problems.
Proceedings of the 10th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2025

2024
GAN Supervised Seismic Data Reconstruction: An Enhanced Learning for Improved Generalization.
IEEE Trans. Geosci. Remote. Sens., 2024

Highly Constrained Coded Aperture Imaging Systems Design Via a Knowledge Distillation Approach.
Proceedings of the IEEE International Conference on Image Processing, 2024


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