Omar DeGuchy

According to our database, Omar DeGuchy authored at least 11 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image Denoising.

Aditya Ranganath, Omar DeGuchy, Fabian Santiago, Mukesh Singhal, Roummel F. Marcia

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Second-Order Trust-Region Optimization for Data-Limited Inference.

Aditya Ranganath, Omar DeGuchy, Mukesh Singhal, Roummel F. Marcia

Proceedings of the 29th European Signal Processing Conference, 2021

Multi-Stage Gaussian Noise Reduction with Recurrent Neural Networks.

Aditya Ranganath, Omar DeGuchy, Mukesh Singhal, Roummel F. Marcia

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Large-Scale Optimization and Deep Learning Techniques for Data-Driven Signal Processing.

Omar DeGuchy

PhD thesis, 2020

Deep Convolutional Autoencoders for Deblurring and Denoising Low-Resolution Images.

Michael Fernando Mendez Jimenez, Omar DeGuchy, Roummel F. Marcia

Proceedings of the International Symposium on Information Theory and Its Applications, 2020

Image Classification in Synthetic Aperture Radar Using Reconstruction from Learned Inverse Scattering.

Jacqueline Alvarez, Omar DeGuchy, Roummel F. Marcia

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Related Inference: A Supervised Learning Approach to Detect Signal Variation in Genome Data.

Mario Banuelos, Omar DeGuchy, Suzanne Sindi, Roummel F. Marcia

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Deep Neural Networks for Low-resolution Photon-limited Imaging.

Omar DeGuchy, Fabian Santiago, Mario Banuelos, Roummel F. Marcia

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Compact representation of the full Broyden class of quasi-Newton updates.

Omar DeGuchy, Jennifer B. Erway, Roummel F. Marcia

Numer. Linear Algebra Appl., 2018

Trust-Region Minimization Algorithm for Training Responses (TRMinATR): The Rise of Machine Learning Techniques.

Jacob Rafati, Omar DeGuchy, Roummel F. Marcia

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Photon-Limited fluorescence lifetime imaging microscopy signal recovery with known bounds.

Omar DeGuchy, Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017