Roummel F. Marcia

According to our database, Roummel F. Marcia authored at least 97 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Shape-changing trust-region methods using multipoint symmetric secant matrices.

Johannes J. Brust, Jennifer B. Erway, Roummel F. Marcia

Optim. Methods Softw., 2024

Sparse Signal Reconstruction for Overdispersed Low-photon Count Biomedical Imaging Using ℓ Total Variation.

Yu Lu, Roummel F. Marcia

CoRR, 2024

Wasserstein-Based Similarity Constrained Matrix Factorization for Drug-Drug Interaction Prediction.

Sarah Malone, Mohammed Aburidi, Roummel F. Marcia

Proceedings of the IEEE Workshop on Signal Processing Systemsm, 2024

Negative Binomial Matrix Completion.

Yu Lu, Kevin Bui, Roummel F. Marcia

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Sparse Signal Reconstruction for Overdispersed Low-Photon Count Biomedical Imaging Using ℓp Total Variation.

Yu Lu, Roummel F. Marcia

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Alternating Direction Method of Multipliers for Negative Binomial Model with the Weighted Difference of Anisotropic and Isotropic Total Variation.

Yu Lu, Kevin Bui, Roummel F. Marcia

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Contrastive Pre-Training and Multiple Instance Learning for Predicting Tumor Microsatellite Instability.

Ronald Nap, Mohammed Aburidi, Roummel F. Marcia

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Sparse Negative Binomial Signal Recovery for Genomic Variant Prediction in Diploid Species.

Jocelyn Ornelas Munoz, Erica M. Rutter, Mario Banuelos, Suzanne S. Sindi, Roummel F. Marcia

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Optimal Transport-Based Network Alignment: Graph Classification of Small Molecule Structure-Activity Relationships in Biology.

Mohammed Aburidi, Roummel F. Marcia

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Topological Adversarial Attacks on Graph Neural Networks Via Projected Meta Learning.

Mohammed Aburidi, Roummel F. Marcia

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2023

Genetic Variant Detection Over Generations: Sparsity-Constrained Optimization Using Block-Coordinate Descent.

Mohammed Aburidi, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

Optimal Transport and Contrastive-Based Clustering for Annotation-Free Tissue Analysis in Histopathology Images.

Mohammed Aburidi, Roummel F. Marcia

Proceedings of the International Conference on Machine Learning and Applications, 2023

CLOT: Contrastive Learning-Driven and Optimal Transport-Based Training for Simultaneous Clustering.

Mohammed Aburidi, Roummel F. Marcia

Proceedings of the IEEE International Conference on Image Processing, 2023

Negative Binomial Optimization for Low-Count Overdispersed Sparse Signal Reconstruction.

Yu Lu, Roummel F. Marcia

Proceedings of the 31st European Signal Processing Conference, 2023

Parameterized Inverse Eigenvalue Problem for Quantum Sensing.

Kyle Wright, Roummel F. Marcia, Michael Scheibner, Boaz Ilan

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Decoding the Hidden: Direct Image Classification Using Coded Aperture Imaging.

Jocelyn Ornelas Munoz, Erica M. Rutter, Roummel F. Marcia

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Overdispersed Photon-Limited Sparse Signal Recovery Using Nonconvex Regularization.

Yu Lu, Roummel F. Marcia

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Sparse Overdispersed Photon-Limited Signal Recovery with Upper and Lower Bounds.

Yu Lu, Roummel F. Marcia

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022

Algorithm 1030: SC-SR1: MATLAB Software for Limited-memory SR1 Trust-region Methods.

Johannes Brust, Oleg Burdakov, Jennifer B. Erway, Roummel F. Marcia

ACM Trans. Math. Softw., December, 2022

Large-Scale Optimization with Linear Equality Constraints Using Reduced Compact Representation.

Johannes J. Brust, Roummel F. Marcia, Cosmin G. Petra, Michael A. Saunders

SIAM J. Sci. Comput., 2022

Novel Adversarial Defense Techniques for White-Box Attacks.

Jason Van Tuinen, Aditya Ranganath, Goran Konjevod, Mukesh Singhal, Roummel F. Marcia

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

Interpretability of ReLU for Inversion.

Boaz Ilan, Aditya Ranganath, Jacqueline Alvarez, Shilpa Khatri, Roummel F. Marcia

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

Machine Learning for Classifying Images with Motion Blur.

Rogelio E. Garcia, Jacqueline Alvarez, 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

Data-Limited Deep Learning Methods for Mild Cognitive Impairment Classification in Alzheimer's Disease Patients.

Ashley De Luna, Roummel F. Marcia

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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

Novel structural variant genome detection in extended pedigrees through negative binomial optimization.

Andrew Lazar, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia

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

Convolution Padding in Recurrent Neural Networks for Image Denoising with Limited Data.

Alex Ho, Jacqueline Alvarez, Roummel F. Marcia

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

2020

Computationally Efficient Decompositions of Oblique Projection Matrices.

Johannes Brust, Roummel F. Marcia, Cosmin G. Petra

SIAM J. Matrix Anal. Appl., 2020

Trust-region algorithms for training responses: machine learning methods using indefinite Hessian approximations.

Jennifer B. Erway, Joshua D. Griffin, Roummel F. Marcia, Riadh Omheni

Optim. Methods Softw., 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

Genomic Signal Processing for Variant Detection in Diploid Parent-Child Trios.

Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi

Proceedings of the 28th European Signal Processing Conference, 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

A Neural Network Approach for Anomaly Detection in Genomic Signals.

Erica Sawyer, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

Detecting novel genomic structural variants through negative binomial optimization.

Andrew Lazar, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Quasi-Newton Optimization Methods For Deep Learning Applications.

Jacob Rafati, Roummel F. Marcia

CoRR, 2019

Large-scale quasi-Newton trust-region methods with low-dimensional linear equality constraints.

Johannes Brust, Roummel F. Marcia, Cosmin G. Petra

Comput. Optim. Appl., 2019

A dense initialization for limited-memory quasi-Newton methods.

Johannes Brust, Oleg Burdakov, Jennifer B. Erway, Roummel F. Marcia

Comput. Optim. Appl., 2019

Predicting Novel and Inherited Variants in Parent-Child Trios.

Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 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

Fine Tuning Sparsity Penalties to Improve Structural Variant Detection.

Xiaolong Chen, Hansell Perez, Melissa Spence, Roummel F. Marcia, Suzanne Sindi

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 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

Quasi-Newton Optimization in Deep Q-Learning for Playing ATARI Games.

Jacob Rafati, Roummel F. Marcia

CoRR, 2018

Improving L-BFGS Initialization for Trust-Region Methods in Deep Learning.

Jacob Rafati, Roummel F. Marcia

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Negative Binomial Optimization for Biomedical Structural Variant Signal Reconstruction.

Mario Banuelos, Suzanne Sindi, Roummel F. Marcia

Proceedings of the 2018 IEEE International Conference on Acoustics, 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

Structural Variant Prediction in Extended Pedigrees Through Sparse Negative Binomial Genome Signal Recovery.

Mario Banuelos, Suzanne Sindi, Roummel F. Marcia

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Detecting Novel Structural Variants In Genomes By Leveraging Parent-Child Relatedness.

Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

On solving L-SR1 trust-region subproblems.

Johannes Brust, Jennifer B. Erway, Roummel F. Marcia

Comput. Optim. Appl., 2017

Nonconvex Regularization-Based Sparse Recovery and Demixing With Application to Color Image Inpainting.

Fei Wen, Lasith Adhikari, Ling Pei, Roummel F. Marcia, Peilin Liu, Robert C. Qiu

IEEE Access, 2017

Nonconvex regularization for sparse genomic variant signal detection.

Mario Banuelos, Lasith Adhikari, Rubi Almanza, Andrew Fujikawa, Jonathan Sahagun, Katharine Sanderson, Melissa Spence, Suzanne Sindi, Roummel F. Marcia

Proceedings of the 2017 IEEE International Symposium on Medical Measurements and Applications, 2017

Sparse diploid spatial biosignal recovery for genomic variation detection.

Mario Banuelos, Lasith Adhikari, Rubi Almanza, Andrew Fujikawa, Jonathan Sahagun, Katharine Sanderson, Melissa Spence, Suzanne Sindi, Roummel F. Marcia

Proceedings of the 2017 IEEE International Symposium on Medical Measurements and Applications, 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

2016

Group-sparse subspace clustering with missing data.

Daniel L. Pimentel-Alarcón, Laura Balzano, Roummel F. Marcia, Robert D. Nowak, Rebecca Willett

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Sparse genomic structural variant detection: Exploiting parent-child relatedness for signal recovery.

Mario Banuelos, Rubi Almanza, Lasith Adhikari, Roummel F. Marcia, Suzanne Sindi

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Trust-region methods for nonconvex sparse recovery optimization.

Jennifer B. Erway, Robert J. Plemmons, Lasith Adhikari, Roummel F. Marcia

Proceedings of the 2016 International Symposium on Information Theory and Its Applications, 2016

Nonconvex sparse poisson intensity reconstruction for time-dependent bioluminescence tomography.

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

Proceedings of the 2016 International Symposium on Information Theory and Its Applications, 2016

Bounded sparse photon-limited image recovery.

Lasith Adhikari, Roummel F. Marcia

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Analysis of p-norm regularized subproblem minimization for sparse photon-limited image recovery.

Aramayis Orkusyan, Lasith Adhikari, Joanna Valenzuela, Roummel F. Marcia

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Sparse signal recovery methods for variant detection in next-generation sequencing data.

Mario Banuelos, Rubi Almanza, Lasith Adhikari, Suzanne Sindi, Roummel F. Marcia

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Sparse reconstruction for fluorescence lifetime imaging microscopy with poisson noise.

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

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Constrained variant detection with SPaRC: Sparsity, parental relatedness, and coverage.

Mario Banuelos, Rubi Almanza, Lasith Adhikari, Roummel F. Marcia, Suzanne Sindi

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

On Efficiently Computing the Eigenvalues of Limited-Memory Quasi-Newton Matrices.

Jennifer B. Erway, Roummel F. Marcia

SIAM J. Matrix Anal. Appl., 2015

Nonconvex reconstruction for low-dimensional fluorescence molecular tomographic poisson observations.

Lasith Adhikari, Dianwen Zhu, Changqing Li, Roummel F. Marcia

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Nonconvex relaxation for Poisson intensity reconstruction.

Lasith Adhikari, Roummel F. Marcia

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

p-th Power total variation regularization in photon-limited imaging via iterative reweighting.

Lasith Adhikari, Roummel F. Marcia

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Algorithm 943: MSS: MATLAB Software for L-BFGS Trust-Region Subproblems for Large-Scale Optimization.

Jennifer B. Erway, Roummel F. Marcia

ACM Trans. Math. Softw., 2014

Shifted L-BFGS systems.

Jennifer B. Erway, Vibhor Jain, Roummel F. Marcia

Optim. Methods Softw., 2014

2013

Compressive Coded Aperture Keyed Exposure Imaging with Optical Flow Reconstruction.

Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett

CoRR, 2013

Dual-scale masks for spatio-temporal compressive imaging.

Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Shifted limited-memory DFP systems.

Jennifer B. Erway, Vibhor Jain, Roummel F. Marcia

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012

Sequential Anomaly Detection in the Presence of Noise and Limited Feedback.

Maxim Raginsky, Rebecca M. Willett, Corinne Horn, Jorge G. Silva, Roummel F. Marcia

IEEE Trans. Inf. Theory, 2012

This is SPIRAL-TAP: Sparse Poisson Intensity Reconstruction ALgorithms - Theory and Practice.

Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett

IEEE Trans. Image Process., 2012

Compressive video recovery with upper and lower bound constraints.

David R. Jones, Rachel O. Schlick, Roummel F. Marcia

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Performance Bounds for Expander-Based Compressed Sensing in Poisson Noise.

Maxim Raginsky, Sina Jafarpour, Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett, A. Robert Calderbank

IEEE Trans. Signal Process., 2011

A backward stability analysis of diagonal pivoting methods for solving unsymmetric tridiagonal systems without interchanges.

Jennifer B. Erway, Roummel F. Marcia

Numer. Linear Algebra Appl., 2011

Sparse video recovery using Linearly Constrained Gradient Projection.

Daniel Thompson, Zachary T. Harmany, Roummel F. Marcia

Proceedings of the IEEE International Conference on Acoustics, 2011

Bounded gradient projection methods for sparse signal recovery.

James Hernandez, Zachary T. Harmany, Daniel Thompson, Roummel F. Marcia

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Compressed sensing performance bounds under Poisson noise.

Maxim Raginsky, Rebecca Willett, Zachary T. Harmany, Roummel F. Marcia

IEEE Trans. Signal Process., 2010

Sparsity-regularized photon-limited imaging.

Zachary T. Harmany, Roummel F. Marcia, Rebecca Willett

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Poisson image reconstruction with total variation regularization.

Rebecca Willett, Zachary T. Harmany, Roummel F. Marcia

Proceedings of the International Conference on Image Processing, 2010

Gradient projection for linearly constrained convex optimization in sparse signal recovery.

Zachary T. Harmany, Daniel Thompson, Rebecca Willett, Roummel F. Marcia

Proceedings of the International Conference on Image Processing, 2010

SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging.

Zachary T. Harmany, Roummel F. Marcia, Rebecca Willett

Proceedings of the Computational Imaging VIII, 2010

2009

Sequential anomaly detection in the presence of noise and limited feedback

Maxim Raginsky, Roummel F. Marcia, Jorge G. Silva, Rebecca Willett

CoRR, 2009

Sequential probability assignment via online convex programming using exponential families.

Maxim Raginsky, Roummel F. Marcia, Jorge G. Silva, Rebecca M. Willett

Proceedings of the IEEE International Symposium on Information Theory, 2009

Compressive coded aperture imaging.

Roummel F. Marcia, Zachary T. Harmany, Rebecca Willett

Proceedings of the Computational Imaging VII, 2009

2008

Fast disambiguation of superimposed images for increased field of view.

Roummel F. Marcia, Changsoon Kim, Jungsang Kim, David J. Brady, Rebecca Willett

Proceedings of the International Conference on Image Processing, 2008

Compressive coded aperture superresolution image reconstruction.

Roummel F. Marcia, Rebecca Willett

Proceedings of the IEEE International Conference on Acoustics, 2008

Compressive coded aperture video reconstruction.

Roummel F. Marcia, Rebecca M. Willett

Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007

Global optimization in protein docking using clustering, underestimation and semidefinite programming.

Roummel F. Marcia, Julie C. Mitchell, Stephen J. Wright

Optim. Methods Softw., 2007

Multi-funnel optimization using Gaussian underestimation.

Roummel F. Marcia, Julie C. Mitchell, J. Ben Rosen

J. Glob. Optim., 2007

2006

A simplified pivoting strategy for symmetric tridiagonal matrices.

James R. Bunch, Roummel F. Marcia

Numer. Linear Algebra Appl., 2006

2005

A pivoting strategy for symmetric tridiagonal matrices.

James R. Bunch, Roummel F. Marcia

Numer. Linear Algebra Appl., 2005

Iterative Convex Quadratic Approximation for Global Optimization in Protein Docking.

Roummel F. Marcia, Julie C. Mitchell, J. Ben Rosen

Comput. Optim. Appl., 2005

2004

Convex Quadratic Approximation.

J. Ben Rosen, Roummel F. Marcia

Comput. Optim. Appl., 2004