Roummel F. Marcia

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 58

Top Topics

Negative Binomial

Top Venues

Publications

Mohammed Aburidi, Roummel F. Marcia
Topological Adversarial Attacks on Graph Neural Networks Via Projected Meta Learning. EAIS (2024)
Yu Lu, Roummel F. Marcia
Sparse Overdispersed Photon-Limited Signal Recovery with Upper and Lower Bounds. CAMSAP (2023)
Yu Lu, Roummel F. Marcia
Negative Binomial Optimization for Low-Count Overdispersed Sparse Signal Reconstruction. EUSIPCO (2023)
Mohammed Aburidi, Roummel F. Marcia
CLOT: Contrastive Learning-Driven and Optimal Transport-Based Training for Simultaneous Clustering. ICIP (2023)
Mohammed Aburidi, Roummel F. Marcia
Optimal Transport and Contrastive-Based Clustering for Annotation-Free Tissue Analysis in Histopathology Images. ICMLA (2023)
Yu Lu, Roummel F. Marcia
Overdispersed Photon-Limited Sparse Signal Recovery Using Nonconvex Regularization. CAMSAP (2023)
Kyle Wright, Roummel F. Marcia, Michael Scheibner, Boaz Ilan
Parameterized Inverse Eigenvalue Problem for Quantum Sensing. CAMSAP (2023)
Mohammed Aburidi, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia
Genetic Variant Detection Over Generations: Sparsity-Constrained Optimization Using Block-Coordinate Descent. MeMeA (2023)
Jocelyn Ornelas Munoz, Erica M. Rutter, Roummel F. Marcia
Decoding the Hidden: Direct Image Classification Using Coded Aperture Imaging. CAMSAP (2023)
Jason Van Tuinen, Aditya Ranganath, Goran Konjevod, Mukesh Singhal, Roummel F. Marcia
Novel Adversarial Defense Techniques for White-Box Attacks. ICMLA (2022)
Johannes Brust, Oleg Burdakov, Jennifer B. Erway, Roummel F. Marcia
Algorithm 1030: SC-SR1: MATLAB Software for Limited-memory SR1 Trust-region Methods. ACM Trans. Math. Softw. 48 (4) (2022)
Johannes J. Brust, Roummel F. Marcia, Cosmin G. Petra, Michael A. Saunders
Large-Scale Optimization with Linear Equality Constraints Using Reduced Compact Representation. SIAM J. Sci. Comput. 44 (1) (2022)
Rogelio E. Garcia, Jacqueline Alvarez, Roummel F. Marcia
Machine Learning for Classifying Images with Motion Blur. ICMLA (2022)
Boaz Ilan, Aditya Ranganath, Jacqueline Alvarez, Shilpa Khatri, Roummel F. Marcia
Interpretability of ReLU for Inversion. ICMLA (2022)
Aditya Ranganath, Omar DeGuchy, Fabian Santiago, Mukesh Singhal, Roummel F. Marcia
Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image Denoising. ICMLA (2022)
Alex Ho, Jacqueline Alvarez, Roummel F. Marcia
Convolution Padding in Recurrent Neural Networks for Image Denoising with Limited Data. ACSCC (2021)
Aditya Ranganath, Omar DeGuchy, Mukesh Singhal, Roummel F. Marcia
Multi-Stage Gaussian Noise Reduction with Recurrent Neural Networks. ACSCC (2021)
Aditya Ranganath, Omar DeGuchy, Mukesh Singhal, Roummel F. Marcia
Second-Order Trust-Region Optimization for Data-Limited Inference. EUSIPCO (2021)
Andrew Lazar, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia
Novel structural variant genome detection in extended pedigrees through negative binomial optimization. ACSCC (2021)
Johannes J. Brust, Roummel F. Marcia, Cosmin G. Petra, Michael A. Saunders
Large-scale Optimization with Linear Equality Constraints using Reduced Compact Representation. CoRR (2021)
Ashley De Luna, Roummel F. Marcia
Data-Limited Deep Learning Methods for Mild Cognitive Impairment Classification in Alzheimer's Disease Patients. EMBC (2021)
Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi
Genomic Signal Processing for Variant Detection in Diploid Parent-Child Trios. EUSIPCO (2020)
Jacqueline Alvarez, Omar DeGuchy, Roummel F. Marcia
Image Classification in Synthetic Aperture Radar Using Reconstruction from Learned Inverse Scattering. IGARSS (2020)
Mario Banuelos, Omar DeGuchy, Suzanne Sindi, Roummel F. Marcia
Related Inference: A Supervised Learning Approach to Detect Signal Variation in Genome Data. EUSIPCO (2020)
Erica Sawyer, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi
A Neural Network Approach for Anomaly Detection in Genomic Signals. APSIPA (2020)
Jennifer B. Erway, Joshua D. Griffin, Roummel F. Marcia, Riadh Omheni
Trust-region algorithms for training responses: machine learning methods using indefinite Hessian approximations. Optim. Methods Softw. 35 (3) (2020)
Johannes Brust, Roummel F. Marcia, Cosmin G. Petra
Computationally Efficient Decompositions of Oblique Projection Matrices. SIAM J. Matrix Anal. Appl. 41 (2) (2020)
Andrew Lazar, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia
Detecting novel genomic structural variants through negative binomial optimization. ACSSC (2020)
Michael Fernando Mendez Jimenez, Omar DeGuchy, Roummel F. Marcia
Deep Convolutional Autoencoders for Deblurring and Denoising Low-Resolution Images. ISITA (2020)
Jacob Rafati, Roummel F. Marcia
Quasi-Newton Optimization Methods For Deep Learning Applications. CoRR (2019)
Xiaolong Chen, Hansell Perez, Melissa Spence, Roummel F. Marcia, Suzanne Sindi
Fine Tuning Sparsity Penalties to Improve Structural Variant Detection. BIBM (2019)
Omar DeGuchy, Fabian Santiago, Mario Banuelos, Roummel F. Marcia
Deep Neural Networks for Low-resolution Photon-limited Imaging. ICASSP (2019)
Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi
Predicting Novel and Inherited Variants in Parent-Child Trios. MeMeA (2019)
Johannes Brust, Roummel F. Marcia, Cosmin G. Petra
Large-scale quasi-Newton trust-region methods with low-dimensional linear equality constraints. Comput. Optim. Appl. 74 (3) (2019)
Johannes Brust, Oleg Burdakov, Jennifer B. Erway, Roummel F. Marcia
A dense initialization for limited-memory quasi-Newton methods. Comput. Optim. Appl. 74 (1) (2019)
Mario Banuelos, Suzanne Sindi, Roummel F. Marcia
Negative Binomial Optimization for Biomedical Structural Variant Signal Reconstruction. ICASSP (2018)
Jennifer B. Erway, Joshua D. Griffin, Roummel F. Marcia, Riadh Omheni
Trust-Region Algorithms for Training Responses: Machine Learning Methods Using Indefinite Hessian Approximations. CoRR (2018)
Omar DeGuchy, Jennifer B. Erway, Roummel F. Marcia
Compact representation of the full Broyden class of quasi-Newton updates. Numer. Linear Algebra Appl. 25 (5) (2018)
Jacob Rafati, Roummel F. Marcia
Improving L-BFGS Initialization for Trust-Region Methods in Deep Learning. ICMLA (2018)
Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi
Detecting Novel Structural Variants In Genomes By Leveraging Parent-Child Relatedness. BIBM (2018)
Jacob Rafati, Omar DeGuchy, Roummel F. Marcia
Trust-Region Minimization Algorithm for Training Responses (TRMinATR): The Rise of Machine Learning Techniques. EUSIPCO (2018)
Mario Banuelos, Suzanne Sindi, Roummel F. Marcia
Structural Variant Prediction in Extended Pedigrees Through Sparse Negative Binomial Genome Signal Recovery. EMBC (2018)
Jacob Rafati, Roummel F. Marcia
Quasi-Newton Optimization in Deep Q-Learning for Playing ATARI Games. CoRR (2018)
Omar DeGuchy, Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia
Photon-Limited fluorescence lifetime imaging microscopy signal recovery with known bounds. CAMSAP (2017)
Fei Wen, Lasith Adhikari, Ling Pei, Roummel F. Marcia, Peilin Liu, Robert C. Qiu
Nonconvex Regularization Based Sparse Recovery and Demixing with Application to Color Image Inpainting. CoRR (2017)
Mario Banuelos, Lasith Adhikari, Rubi Almanza, Andrew Fujikawa, Jonathan Sahagun, Katharine Sanderson, Melissa Spence, Suzanne Sindi, Roummel F. Marcia
Nonconvex regularization for sparse genomic variant signal detection. MeMeA (2017)
Johannes Brust, Jennifer B. Erway, Roummel F. Marcia
On solving L-SR1 trust-region subproblems. Comput. Optim. Appl. 66 (2) (2017)
Mario Banuelos, Lasith Adhikari, Rubi Almanza, Andrew Fujikawa, Jonathan Sahagun, Katharine Sanderson, Melissa Spence, Suzanne Sindi, Roummel F. Marcia
Sparse diploid spatial biosignal recovery for genomic variation detection. MeMeA (2017)
Fei Wen, Lasith Adhikari, Ling Pei, Roummel F. Marcia, Peilin Liu, Robert C. Qiu
Nonconvex Regularization-Based Sparse Recovery and Demixing With Application to Color Image Inpainting. IEEE Access 5 (2017)
Aramayis Orkusyan, Lasith Adhikari, Joanna Valenzuela, Roummel F. Marcia
Analysis of p-norm regularized subproblem minimization for sparse photon-limited image recovery. ICASSP (2016)
Mario Banuelos, Rubi Almanza, Lasith Adhikari, Roummel F. Marcia, Suzanne Sindi
Constrained variant detection with SPaRC: Sparsity, parental relatedness, and coverage. EMBC (2016)
Jennifer B. Erway, Robert J. Plemmons, Lasith Adhikari, Roummel F. Marcia
Trust-region methods for nonconvex sparse recovery optimization. ISITA (2016)
Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia
Sparse reconstruction for fluorescence lifetime imaging microscopy with poisson noise. GlobalSIP (2016)
Mario Banuelos, Rubi Almanza, Lasith Adhikari, Suzanne Sindi, Roummel F. Marcia
Sparse signal recovery methods for variant detection in next-generation sequencing data. ICASSP (2016)
Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia
Nonconvex sparse poisson intensity reconstruction for time-dependent bioluminescence tomography. ISITA (2016)
Mario Banuelos, Rubi Almanza, Lasith Adhikari, Roummel F. Marcia, Suzanne Sindi
Sparse genomic structural variant detection: Exploiting parent-child relatedness for signal recovery. SSP (2016)
Lasith Adhikari, Roummel F. Marcia
Bounded sparse photon-limited image recovery. ICIP (2016)
Daniel L. Pimentel-Alarcón, Laura Balzano, Roummel F. Marcia, Robert D. Nowak, Rebecca Willett
Group-sparse subspace clustering with missing data. SSP (2016)
Jennifer B. Erway, Roummel F. Marcia
On Efficiently Computing the Eigenvalues of Limited-Memory Quasi-Newton Matrices. SIAM J. Matrix Anal. Appl. 36 (3) (2015)
Lasith Adhikari, Dianwen Zhu, Changqing Li, Roummel F. Marcia
Nonconvex reconstruction for low-dimensional fluorescence molecular tomographic poisson observations. ICIP (2015)
Lasith Adhikari, Roummel F. Marcia
Nonconvex relaxation for Poisson intensity reconstruction. ICASSP (2015)
Lasith Adhikari, Roummel F. Marcia
p-th Power total variation regularization in photon-limited imaging via iterative reweighting. EUSIPCO (2015)
Jennifer B. Erway, Roummel F. Marcia
Algorithm 943: MSS: MATLAB Software for L-BFGS Trust-Region Subproblems for Large-Scale Optimization. ACM Trans. Math. Softw. 40 (4) (2014)
Jennifer B. Erway, Vibhor Jain, Roummel F. Marcia
Shifted L-BFGS systems. Optim. Methods Softw. 29 (5) (2014)
Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett
Dual-scale masks for spatio-temporal compressive imaging. GlobalSIP (2013)
Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett
Compressive Coded Aperture Keyed Exposure Imaging with Optical Flow Reconstruction. CoRR (2013)
Jennifer B. Erway, Vibhor Jain, Roummel F. Marcia
Shifted limited-memory DFP systems. ACSSC (2013)
Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett
This is SPIRAL-TAP: Sparse Poisson Intensity Reconstruction ALgorithms - Theory and Practice. IEEE Trans. Image Process. 21 (3) (2012)
Maxim Raginsky, Rebecca M. Willett, Corinne Horn, Jorge G. Silva, Roummel F. Marcia
Sequential Anomaly Detection in the Presence of Noise and Limited Feedback. IEEE Trans. Inf. Theory 58 (8) (2012)
David R. Jones, Rachel O. Schlick, Roummel F. Marcia
Compressive video recovery with upper and lower bound constraints. ICASSP (2012)
Maxim Raginsky, Sina Jafarpour, Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett, A. Robert Calderbank
Performance Bounds for Expander-Based Compressed Sensing in Poisson Noise. IEEE Trans. Signal Process. 59 (9) (2011)
Daniel Thompson, Zachary T. Harmany, Roummel F. Marcia
Sparse video recovery using Linearly Constrained Gradient Projection. ICASSP (2011)
Jennifer B. Erway, Roummel F. Marcia
A backward stability analysis of diagonal pivoting methods for solving unsymmetric tridiagonal systems without interchanges. Numer. Linear Algebra Appl. 18 (1) (2011)
James Hernandez, Zachary T. Harmany, Daniel Thompson, Roummel F. Marcia
Bounded gradient projection methods for sparse signal recovery. ICASSP (2011)
Zachary T. Harmany, Roummel F. Marcia, Rebecca Willett
Sparsity-regularized photon-limited imaging. ISBI (2010)
Zachary T. Harmany, Roummel F. Marcia, Rebecca Willett
SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging. Computational Imaging (2010)
Rebecca Willett, Zachary T. Harmany, Roummel F. Marcia
Poisson image reconstruction with total variation regularization. ICIP (2010)
Zachary T. Harmany, Daniel Thompson, Rebecca Willett, Roummel F. Marcia
Gradient projection for linearly constrained convex optimization in sparse signal recovery. ICIP (2010)
Maxim Raginsky, Rebecca Willett, Zachary T. Harmany, Roummel F. Marcia
Compressed sensing performance bounds under Poisson noise. IEEE Trans. Signal Process. 58 (8) (2010)
Maxim Raginsky, Sina Jafarpour, Zachary T. Harmany, Roummel F. Marcia, Rebecca Willett, A. Robert Calderbank
Performance bounds for expander-based compressed sensing in Poisson noise CoRR (2010)
Roummel F. Marcia, Zachary T. Harmany, Rebecca Willett
Compressive coded aperture imaging. Computational Imaging (2009)
Maxim Raginsky, Zachary T. Harmany, Roummel F. Marcia, Rebecca Willett
Compressed sensing performance bounds under Poisson noise CoRR (2009)
Maxim Raginsky, Roummel F. Marcia, Jorge G. Silva, Rebecca Willett
Sequential anomaly detection in the presence of noise and limited feedback CoRR (2009)
Maxim Raginsky, Roummel F. Marcia, Jorge G. Silva, Rebecca M. Willett
Sequential probability assignment via online convex programming using exponential families. ISIT (2009)
Roummel F. Marcia, Rebecca Willett
Compressive coded aperture superresolution image reconstruction. ICASSP (2008)
Roummel F. Marcia, Rebecca M. Willett
Compressive coded aperture video reconstruction. EUSIPCO (2008)
Roummel F. Marcia, Changsoon Kim, Jungsang Kim, David J. Brady, Rebecca Willett
Fast disambiguation of superimposed images for increased field of view. ICIP (2008)
Roummel F. Marcia, Julie C. Mitchell, Stephen J. Wright
Global optimization in protein docking using clustering, underestimation and semidefinite programming. Optim. Methods Softw. 22 (5) (2007)
Roummel F. Marcia, Julie C. Mitchell, J. Ben Rosen
Multi-funnel optimization using Gaussian underestimation. J. Glob. Optim. 39 (1) (2007)
James R. Bunch, Roummel F. Marcia
A simplified pivoting strategy for symmetric tridiagonal matrices. Numer. Linear Algebra Appl. 13 (10) (2006)
James R. Bunch, Roummel F. Marcia
A pivoting strategy for symmetric tridiagonal matrices. Numer. Linear Algebra Appl. 12 (9) (2005)
Roummel F. Marcia, Julie C. Mitchell, J. Ben Rosen
Iterative Convex Quadratic Approximation for Global Optimization in Protein Docking. Comput. Optim. Appl. 32 (3) (2005)
J. Ben Rosen, Roummel F. Marcia
Convex Quadratic Approximation. Comput. Optim. Appl. 28 (2) (2004)