| 2024 | ICMLA | Quasi-Adam: Accelerating Adam Using Quasi-Newton Approximations. | Aditya Ranganath, Irabiel Romero Ruiz, Mukesh Singhal, Roummel F. Marcia |
| 2023 | ICIP | CLOT: Contrastive Learning-Driven and Optimal Transport-Based Training for Simultaneous Clustering. | Mohammed Aburidi, Roummel F. Marcia |
| 2023 | ICMLA | Optimal Transport and Contrastive-Based Clustering for Annotation-Free Tissue Analysis in Histopathology Images. | Mohammed Aburidi, Roummel F. Marcia |
| 2022 | ICMLA | Machine Learning for Classifying Images with Motion Blur. | Rogelio E. Garcia, Jacqueline Alvarez, Roummel F. Marcia |
| 2022 | ICMLA | Interpretability of ReLU for Inversion. | Boaz Ilan, Aditya Ranganath, Jacqueline Alvarez, Shilpa Khatri, Roummel F. Marcia |
| 2022 | ICMLA | Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image Denoising. | Aditya Ranganath, Omar DeGuchy, Fabian Santiago, Mukesh Singhal, Roummel F. Marcia |
| 2022 | ICMLA | Novel Adversarial Defense Techniques for White-Box Attacks. | Jason Van Tuinen, Aditya Ranganath, Goran Konjevod, Mukesh Singhal, Roummel F. Marcia |
| 2021 | ACSSC | Convolution Padding in Recurrent Neural Networks for Image Denoising with Limited Data. | Alex Ho, Jacqueline Alvarez, Roummel F. Marcia |
| 2021 | ACSSC | Novel structural variant genome detection in extended pedigrees through negative binomial optimization. | Andrew Lazar, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia |
| 2021 | ACSSC | Multi-Stage Gaussian Noise Reduction with Recurrent Neural Networks. | Aditya Ranganath, Omar DeGuchy, Mukesh Singhal, Roummel F. Marcia |
| 2020 | ACSSC | Detecting novel genomic structural variants through negative binomial optimization. | Andrew Lazar, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia |
| 2020 | IGARSS | Image Classification in Synthetic Aperture Radar Using Reconstruction from Learned Inverse Scattering. | Jacqueline Alvarez, Omar DeGuchy, Roummel F. Marcia |
| 2020 | ISITA | Deep Convolutional Autoencoders for Deblurring and Denoising Low-Resolution Images. | Michael Fernando Mendez Jimenez, Omar DeGuchy, Roummel F. Marcia |
| 2019 | ICASSP | Deep Neural Networks for Low-resolution Photon-limited Imaging. | Omar DeGuchy, Fabian Santiago, Mario Banuelos, Roummel F. Marcia |
| 2018 | ICASSP | Negative Binomial Optimization for Biomedical Structural Variant Signal Reconstruction. | Mario Banuelos, Suzanne Sindi, Roummel F. Marcia |
| 2018 | ICMLA | Improving L-BFGS Initialization for Trust-Region Methods in Deep Learning. | Jacob Rafati, Roummel F. Marcia |
| 2016 | ICASSP | Sparse signal recovery methods for variant detection in next-generation sequencing data. | Mario Banuelos, Rubi Almanza, Lasith Adhikari, Suzanne Sindi, Roummel F. Marcia |
| 2016 | ICASSP | Analysis of p-norm regularized subproblem minimization for sparse photon-limited image recovery. | Aramayis Orkusyan, Lasith Adhikari, Joanna Valenzuela, Roummel F. Marcia |
| 2016 | ICIP | Bounded sparse photon-limited image recovery. | Lasith Adhikari, Roummel F. Marcia |
| 2016 | ISITA | Nonconvex sparse poisson intensity reconstruction for time-dependent bioluminescence tomography. | Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia |
| 2016 | ISITA | Trust-region methods for nonconvex sparse recovery optimization. | Jennifer B. Erway, Robert J. Plemmons, Lasith Adhikari, Roummel F. Marcia |
| 2015 | ICASSP | Nonconvex relaxation for Poisson intensity reconstruction. | Lasith Adhikari, Roummel F. Marcia |
| 2015 | ICIP | Nonconvex reconstruction for low-dimensional fluorescence molecular tomographic poisson observations. | Lasith Adhikari, Dianwen Zhu, Changqing Li, Roummel F. Marcia |
| 2013 | ACSSC | Shifted limited-memory DFP systems. | Jennifer B. Erway, Vibhor Jain, Roummel F. Marcia |
| 2012 | ICASSP | Compressive video recovery with upper and lower bound constraints. | David R. Jones, Rachel O. Schlick, Roummel F. Marcia |
| 2011 | ICASSP | Bounded gradient projection methods for sparse signal recovery. | James Hernandez, Zachary T. Harmany, Daniel Thompson, Roummel F. Marcia |
| 2011 | ICASSP | Sparse video recovery using Linearly Constrained Gradient Projection. | Daniel Thompson, Zachary T. Harmany, Roummel F. Marcia |
| 2010 | ICIP | Gradient projection for linearly constrained convex optimization in sparse signal recovery. | Zachary T. Harmany, Daniel Thompson, Rebecca Willett, Roummel F. Marcia |
| 2010 | ICIP | Poisson image reconstruction with total variation regularization. | Rebecca Willett, Zachary T. Harmany, Roummel F. Marcia |
| 2009 | ISIT | Sequential probability assignment via online convex programming using exponential families. | Maxim Raginsky, Roummel F. Marcia, Jorge G. Silva, Rebecca M. Willett |
| 2008 | ICASSP | Compressive coded aperture superresolution image reconstruction. | Roummel F. Marcia, Rebecca Willett |
| 2008 | ICIP | Fast disambiguation of superimposed images for increased field of view. | Roummel F. Marcia, Changsoon Kim, Jungsang Kim, David J. Brady, Rebecca Willett |