Roummel F. Marcia

119 papers A 1B 7C 11Misc 11Journal 46Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fractional Order Federated Learning for Battery Electric Vehicle Energy Consumption Modeling. CoRR Mohammad Partohaghighi, Roummel F. Marcia, Bruce J. West, YangQuan Chen
2026	J	`jnl`	Fractional-Order Federated Learning. CoRR Mohammad Partohaghighi, Roummel F. Marcia, YangQuan Chen
2026	J	`jnl`	Roughness-Informed Federated Learning. CoRR Mohammad Partohaghighi, Roummel F. Marcia, Bruce J. West, YangQuan Chen
2026	J	`jnl`	Roughness-informed differential privacy. Expert Syst. Appl. Mohammad Partohaghighi, Roummel F. Marcia, Bruce J. West, YangQuan Chen
2026	J	`jnl`	Statistical Roughness-Informed Machine Unlearning. CoRR Mohammad Partohaghighi, Roummel F. Marcia, Bruce J. West, YangQuan Chen
2026	J	`jnl`	When Gradient Clipping Becomes a Control Mechanism for Differential Privacy in Deep Learning. CoRR Mohammad Partohaghighi, Roummel F. Marcia, Bruce J. West, YangQuan Chen
2025	J	`jnl`	Effective Dimension Aware Fractional-Order Stochastic Gradient Descent for Convex Optimization Problems. CoRR Mohammad Partohaghighi, Roummel F. Marcia, YangQuan Chen
2025	J	`jnl`	Inverse Eigenvalue Difference Problems for Quantum Dots. Numer. Linear Algebra Appl. Boaz Ilan, Roummel F. Marcia, Michael Scheibner, Kyle Wright
2025	J	`jnl`	More Optimal Fractional-Order Stochastic Gradient Descent for Non-Convex Optimization Problems. CoRR Mohammad Partohaghighi, Roummel F. Marcia, YangQuan Chen
2025	—	`conf`	Noise Model Statistics Regularization for Deep Learning Biomedical Imaging. MeMeA Yu Lu, Roummel F. Marcia
2025	—	`conf`	Overdispersion Parameter Estimation For Negative Binomial Optimization For Low-Photon Imaging. CAMSAP Yu Lu, Roummel F. Marcia
2025	—	`conf`	Signal Reconstructions for ECG-Transmembrane Voltage Potentials Using Transformers. ISBI Jocelyn Ornelas Munoz, Gbocho M. Terasaki, Aditya Ranganath, Omar DeGuchy, Roummel F. Marcia
2025	—	`conf`	Symmetric Rank-One Quasi-Newton Methods for Deep Learning Using Cubic Regularization. CAMSAP Aditya Ranganath, Mukesh Singhal, Roummel F. Marcia
2025	J	`jnl`	Symmetric Rank-One Quasi-Newton Methods for Deep Learning Using Cubic Regularization. CoRR Aditya Ranganath, Mukesh Singhal, Roummel F. Marcia
2024	J	`jnl`	Alternating Direction Method of Multipliers for Negative Binomial Model with The Weighted Difference of Anisotropic and Isotropic Total Variation. CoRR Yu Lu, Kevin Bui, Roummel F. Marcia
2024	A	`conf`	Alternating Direction Method of Multipliers for Negative Binomial Model with the Weighted Difference of Anisotropic and Isotropic Total Variation. ICME Yu Lu, Kevin Bui, Roummel F. Marcia
2024	—	`conf`	Contrastive Pre-Training and Multiple Instance Learning for Predicting Tumor Microsatellite Instability. EMBC Ronald Nap, Mohammed Aburidi, Roummel F. Marcia
2024	—	`conf`	Negative Binomial Matrix Completion. MLSP Yu Lu, Kevin Bui, Roummel F. Marcia
2024	J	`jnl`	Negative Binomial Matrix Completion. CoRR Yu Lu, Kevin Bui, Roummel F. Marcia
2024	—	`conf`	Optimal Transport-Based Network Alignment: Graph Classification of Small Molecule Structure-Activity Relationships in Biology. EMBC Mohammed Aburidi, Roummel F. Marcia
2024	C	`conf`	Quasi-Adam: Accelerating Adam Using Quasi-Newton Approximations. ICMLA Aditya Ranganath, Irabiel Romero Ruiz, Mukesh Singhal, Roummel F. Marcia
2024	J	`jnl`	Shape-changing trust-region methods using multipoint symmetric secant matrices. Optim. Methods Softw. Johannes J. Brust, Jennifer B. Erway, Roummel F. Marcia
2024	—	`conf`	Sparse Negative Binomial Signal Recovery for Genomic Variant Prediction in Diploid Species. EMBC Jocelyn Ornelas Munoz, Erica M. Rutter, Mario Banuelos, Suzanne S. Sindi, Roummel F. Marcia
2024	—	`conf`	Sparse Signal Reconstruction for Overdispersed Low-Photon Count Biomedical Imaging Using ℓp Total Variation. ISBI Yu Lu, Roummel F. Marcia
2024	J	`jnl`	Sparse Signal Reconstruction for Overdispersed Low-photon Count Biomedical Imaging Using ℓ Total Variation. CoRR Yu Lu, Roummel F. Marcia
2024	—	`conf`	Topological Adversarial Attacks on Graph Neural Networks Via Projected Meta Learning. EAIS Mohammed Aburidi, Roummel F. Marcia
2024	—	`conf`	Wasserstein-Based Similarity Constrained Matrix Factorization for Drug-Drug Interaction Prediction. SiPS Sarah Malone, Mohammed Aburidi, Roummel F. Marcia
2023	B	`conf`	CLOT: Contrastive Learning-Driven and Optimal Transport-Based Training for Simultaneous Clustering. ICIP Mohammed Aburidi, Roummel F. Marcia
2023	—	`conf`	Decoding the Hidden: Direct Image Classification Using Coded Aperture Imaging. CAMSAP Jocelyn Ornelas Munoz, Erica M. Rutter, Roummel F. Marcia
2023	—	`conf`	Genetic Variant Detection Over Generations: Sparsity-Constrained Optimization Using Block-Coordinate Descent. MeMeA Mohammed Aburidi, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia
2023	—	`conf`	Negative Binomial Optimization for Low-Count Overdispersed Sparse Signal Reconstruction. EUSIPCO Yu Lu, Roummel F. Marcia
2023	C	`conf`	Optimal Transport and Contrastive-Based Clustering for Annotation-Free Tissue Analysis in Histopathology Images. ICMLA Mohammed Aburidi, Roummel F. Marcia
2023	—	`conf`	Overdispersed Photon-Limited Sparse Signal Recovery Using Nonconvex Regularization. CAMSAP Yu Lu, Roummel F. Marcia
2023	—	`conf`	Parameterized Inverse Eigenvalue Problem for Quantum Sensing. CAMSAP Kyle Wright, Roummel F. Marcia, Michael Scheibner, Boaz Ilan
2023	—	`conf`	Sparse Overdispersed Photon-Limited Signal Recovery with Upper and Lower Bounds. CAMSAP Yu Lu, Roummel F. Marcia
2022	J	`jnl`	Algorithm 1030: SC-SR1: MATLAB Software for Limited-memory SR1 Trust-region Methods. ACM Trans. Math. Softw. Johannes Brust, Oleg Burdakov, Jennifer B. Erway, Roummel F. Marcia
2022	C	`conf`	Interpretability of ReLU for Inversion. ICMLA Boaz Ilan, Aditya Ranganath, Jacqueline Alvarez, Shilpa Khatri, Roummel F. Marcia
2022	J	`jnl`	Large-Scale Optimization with Linear Equality Constraints Using Reduced Compact Representation. SIAM J. Sci. Comput. Johannes J. Brust, Roummel F. Marcia, Cosmin G. Petra, Michael A. Saunders
2022	C	`conf`	Machine Learning for Classifying Images with Motion Blur. ICMLA Rogelio E. Garcia, Jacqueline Alvarez, Roummel F. Marcia
2022	C	`conf`	Novel Adversarial Defense Techniques for White-Box Attacks. ICMLA Jason Van Tuinen, Aditya Ranganath, Goran Konjevod, Mukesh Singhal, Roummel F. Marcia
2022	C	`conf`	Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image Denoising. ICMLA Aditya Ranganath, Omar DeGuchy, Fabian Santiago, Mukesh Singhal, Roummel F. Marcia
2021	—	`conf`	Convolution Padding in Recurrent Neural Networks for Image Denoising with Limited Data. ACSCC Alex Ho, Jacqueline Alvarez, Roummel F. Marcia
2021	—	`conf`	Data-Limited Deep Learning Methods for Mild Cognitive Impairment Classification in Alzheimer's Disease Patients. EMBC Ashley De Luna, Roummel F. Marcia
2021	J	`jnl`	Large-scale Optimization with Linear Equality Constraints using Reduced Compact Representation. CoRR Johannes J. Brust, Roummel F. Marcia, Cosmin G. Petra, Michael A. Saunders
2021	—	`conf`	Multi-Stage Gaussian Noise Reduction with Recurrent Neural Networks. ACSCC Aditya Ranganath, Omar DeGuchy, Mukesh Singhal, Roummel F. Marcia
2021	—	`conf`	Novel structural variant genome detection in extended pedigrees through negative binomial optimization. ACSCC Andrew Lazar, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia
2021	—	`conf`	Second-Order Trust-Region Optimization for Data-Limited Inference. EUSIPCO Aditya Ranganath, Omar DeGuchy, Mukesh Singhal, Roummel F. Marcia
2020	—	`conf`	A Neural Network Approach for Anomaly Detection in Genomic Signals. APSIPA Erica Sawyer, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi
2020	J	`jnl`	Computationally Efficient Decompositions of Oblique Projection Matrices. SIAM J. Matrix Anal. Appl. Johannes Brust, Roummel F. Marcia, Cosmin G. Petra
2020	C	`conf`	Deep Convolutional Autoencoders for Deblurring and Denoising Low-Resolution Images. ISITA Michael Fernando Mendez Jimenez, Omar DeGuchy, Roummel F. Marcia
2020	Misc	`conf`	Detecting novel genomic structural variants through negative binomial optimization. ACSSC Andrew Lazar, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia
2020	—	`conf`	Genomic Signal Processing for Variant Detection in Diploid Parent-Child Trios. EUSIPCO Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi
2020	C	`conf`	Image Classification in Synthetic Aperture Radar Using Reconstruction from Learned Inverse Scattering. IGARSS Jacqueline Alvarez, Omar DeGuchy, Roummel F. Marcia
2020	—	`conf`	Related Inference: A Supervised Learning Approach to Detect Signal Variation in Genome Data. EUSIPCO Mario Banuelos, Omar DeGuchy, Suzanne Sindi, Roummel F. Marcia
2020	J	`jnl`	Trust-region algorithms for training responses: machine learning methods using indefinite Hessian approximations. Optim. Methods Softw. Jennifer B. Erway, Joshua D. Griffin, Roummel F. Marcia, Riadh Omheni
2019	J	`jnl`	A dense initialization for limited-memory quasi-Newton methods. Comput. Optim. Appl. Johannes Brust, Oleg Burdakov, Jennifer B. Erway, Roummel F. Marcia
2019	Misc	`conf`	Deep Neural Networks for Low-resolution Photon-limited Imaging. ICASSP Omar DeGuchy, Fabian Santiago, Mario Banuelos, Roummel F. Marcia
2019	—	`conf`	Fine Tuning Sparsity Penalties to Improve Structural Variant Detection. BIBM Xiaolong Chen, Hansell Perez, Melissa Spence, Roummel F. Marcia, Suzanne Sindi
2019	J	`jnl`	Large-scale quasi-Newton trust-region methods with low-dimensional linear equality constraints. Comput. Optim. Appl. Johannes Brust, Roummel F. Marcia, Cosmin G. Petra
2019	—	`conf`	Predicting Novel and Inherited Variants in Parent-Child Trios. MeMeA Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi
2019	J	`jnl`	Quasi-Newton Optimization Methods For Deep Learning Applications. CoRR Jacob Rafati, Roummel F. Marcia
2018	J	`jnl`	Compact representation of the full Broyden class of quasi-Newton updates. Numer. Linear Algebra Appl. Omar DeGuchy, Jennifer B. Erway, Roummel F. Marcia
2018	—	`conf`	Detecting Novel Structural Variants In Genomes By Leveraging Parent-Child Relatedness. BIBM Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi
2018	C	`conf`	Improving L-BFGS Initialization for Trust-Region Methods in Deep Learning. ICMLA Jacob Rafati, Roummel F. Marcia
2018	Misc	`conf`	Negative Binomial Optimization for Biomedical Structural Variant Signal Reconstruction. ICASSP Mario Banuelos, Suzanne Sindi, Roummel F. Marcia
2018	J	`jnl`	Quasi-Newton Optimization in Deep Q-Learning for Playing ATARI Games. CoRR Jacob Rafati, Roummel F. Marcia
2018	—	`conf`	Structural Variant Prediction in Extended Pedigrees Through Sparse Negative Binomial Genome Signal Recovery. EMBC Mario Banuelos, Suzanne Sindi, Roummel F. Marcia
2018	J	`jnl`	Trust-Region Algorithms for Training Responses: Machine Learning Methods Using Indefinite Hessian Approximations. CoRR Jennifer B. Erway, Joshua D. Griffin, Roummel F. Marcia, Riadh Omheni
2018	—	`conf`	Trust-Region Minimization Algorithm for Training Responses (TRMinATR): The Rise of Machine Learning Techniques. EUSIPCO Jacob Rafati, Omar DeGuchy, Roummel F. Marcia
2017	J	`jnl`	Nonconvex Regularization Based Sparse Recovery and Demixing with Application to Color Image Inpainting. CoRR Fei Wen, Lasith Adhikari, Ling Pei, Roummel F. Marcia, Peilin Liu, Robert C. Qiu
2017	J	`jnl`	Nonconvex Regularization-Based Sparse Recovery and Demixing With Application to Color Image Inpainting. IEEE Access Fei Wen, Lasith Adhikari, Ling Pei, Roummel F. Marcia, Peilin Liu, Robert C. Qiu
2017	—	`conf`	Nonconvex regularization for sparse genomic variant signal detection. MeMeA Mario Banuelos, Lasith Adhikari, Rubi Almanza, Andrew Fujikawa, Jonathan Sahagun, Katharine Sanderson, Melissa Spence, Suzanne Sindi, Roummel F. Marcia
2017	J	`jnl`	On solving L-SR1 trust-region subproblems. Comput. Optim. Appl. Johannes Brust, Jennifer B. Erway, Roummel F. Marcia
2017	—	`conf`	Photon-Limited fluorescence lifetime imaging microscopy signal recovery with known bounds. CAMSAP Omar DeGuchy, Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia
2017	—	`conf`	Sparse diploid spatial biosignal recovery for genomic variation detection. MeMeA Mario Banuelos, Lasith Adhikari, Rubi Almanza, Andrew Fujikawa, Jonathan Sahagun, Katharine Sanderson, Melissa Spence, Suzanne Sindi, Roummel F. Marcia
2016	Misc	`conf`	Analysis of p-norm regularized subproblem minimization for sparse photon-limited image recovery. ICASSP Aramayis Orkusyan, Lasith Adhikari, Joanna Valenzuela, Roummel F. Marcia
2016	B	`conf`	Bounded sparse photon-limited image recovery. ICIP Lasith Adhikari, Roummel F. Marcia
2016	—	`conf`	Constrained variant detection with SPaRC: Sparsity, parental relatedness, and coverage. EMBC Mario Banuelos, Rubi Almanza, Lasith Adhikari, Roummel F. Marcia, Suzanne Sindi
2016	—	`conf`	Group-sparse subspace clustering with missing data. SSP Daniel L. Pimentel-Alarcón, Laura Balzano, Roummel F. Marcia, Robert D. Nowak, Rebecca Willett
2016	C	`conf`	Nonconvex sparse poisson intensity reconstruction for time-dependent bioluminescence tomography. ISITA Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia
2016	—	`conf`	Sparse genomic structural variant detection: Exploiting parent-child relatedness for signal recovery. SSP Mario Banuelos, Rubi Almanza, Lasith Adhikari, Roummel F. Marcia, Suzanne Sindi
2016	—	`conf`	Sparse reconstruction for fluorescence lifetime imaging microscopy with poisson noise. GlobalSIP Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia
2016	Misc	`conf`	Sparse signal recovery methods for variant detection in next-generation sequencing data. ICASSP Mario Banuelos, Rubi Almanza, Lasith Adhikari, Suzanne Sindi, Roummel F. Marcia
2016	C	`conf`	Trust-region methods for nonconvex sparse recovery optimization. ISITA Jennifer B. Erway, Robert J. Plemmons, Lasith Adhikari, Roummel F. Marcia
2015	B	`conf`	Nonconvex reconstruction for low-dimensional fluorescence molecular tomographic poisson observations. ICIP Lasith Adhikari, Dianwen Zhu, Changqing Li, Roummel F. Marcia
2015	Misc	`conf`	Nonconvex relaxation for Poisson intensity reconstruction. ICASSP Lasith Adhikari, Roummel F. Marcia
2015	J	`jnl`	On Efficiently Computing the Eigenvalues of Limited-Memory Quasi-Newton Matrices. SIAM J. Matrix Anal. Appl. Jennifer B. Erway, Roummel F. Marcia
2015	—	`conf`	p-th Power total variation regularization in photon-limited imaging via iterative reweighting. EUSIPCO Lasith Adhikari, Roummel F. Marcia
2014	J	`jnl`	Algorithm 943: MSS: MATLAB Software for L-BFGS Trust-Region Subproblems for Large-Scale Optimization. ACM Trans. Math. Softw. Jennifer B. Erway, Roummel F. Marcia
2014	J	`jnl`	Shifted L-BFGS systems. Optim. Methods Softw. Jennifer B. Erway, Vibhor Jain, Roummel F. Marcia
2013	J	`jnl`	Compressive Coded Aperture Keyed Exposure Imaging with Optical Flow Reconstruction. CoRR Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett
2013	—	`conf`	Dual-scale masks for spatio-temporal compressive imaging. GlobalSIP Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett
2013	Misc	`conf`	Shifted limited-memory DFP systems. ACSSC Jennifer B. Erway, Vibhor Jain, Roummel F. Marcia
2012	Misc	`conf`	Compressive video recovery with upper and lower bound constraints. ICASSP David R. Jones, Rachel O. Schlick, Roummel F. Marcia
2012	J	`jnl`	Sequential Anomaly Detection in the Presence of Noise and Limited Feedback. IEEE Trans. Inf. Theory Maxim Raginsky, Rebecca M. Willett, Corinne Horn, Jorge G. Silva, Roummel F. Marcia
2012	J	`jnl`	This is SPIRAL-TAP: Sparse Poisson Intensity Reconstruction ALgorithms - Theory and Practice. IEEE Trans. Image Process. Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett
2011	J	`jnl`	A backward stability analysis of diagonal pivoting methods for solving unsymmetric tridiagonal systems without interchanges. Numer. Linear Algebra Appl. Jennifer B. Erway, Roummel F. Marcia
2011	Misc	`conf`	Bounded gradient projection methods for sparse signal recovery. ICASSP James Hernandez, Zachary T. Harmany, Daniel Thompson, Roummel F. Marcia
2011	J	`jnl`	Performance Bounds for Expander-Based Compressed Sensing in Poisson Noise. IEEE Trans. Signal Process. Maxim Raginsky, Sina Jafarpour, Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett, A. Robert Calderbank
2011	Misc	`conf`	Sparse video recovery using Linearly Constrained Gradient Projection. ICASSP Daniel Thompson, Zachary T. Harmany, Roummel F. Marcia
2010	J	`jnl`	Compressed sensing performance bounds under Poisson noise. IEEE Trans. Signal Process. Maxim Raginsky, Rebecca Willett, Zachary T. Harmany, Roummel F. Marcia
2010	B	`conf`	Gradient projection for linearly constrained convex optimization in sparse signal recovery. ICIP Zachary T. Harmany, Daniel Thompson, Rebecca Willett, Roummel F. Marcia
2010	J	`jnl`	Performance bounds for expander-based compressed sensing in Poisson noise CoRR Maxim Raginsky, Sina Jafarpour, Zachary T. Harmany, Roummel F. Marcia, Rebecca Willett, A. Robert Calderbank
2010	B	`conf`	Poisson image reconstruction with total variation regularization. ICIP Rebecca Willett, Zachary T. Harmany, Roummel F. Marcia
2010	—	`conf`	SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging. Computational Imaging Zachary T. Harmany, Roummel F. Marcia, Rebecca Willett
2010	—	`conf`	Sparsity-regularized photon-limited imaging. ISBI Zachary T. Harmany, Roummel F. Marcia, Rebecca Willett
2009	J	`jnl`	Compressed sensing performance bounds under Poisson noise CoRR Maxim Raginsky, Zachary T. Harmany, Roummel F. Marcia, Rebecca Willett
2009	—	`conf`	Compressive coded aperture imaging. Computational Imaging Roummel F. Marcia, Zachary T. Harmany, Rebecca Willett
2009	J	`jnl`	Sequential anomaly detection in the presence of noise and limited feedback CoRR Maxim Raginsky, Roummel F. Marcia, Jorge G. Silva, Rebecca Willett
2009	B	`conf`	Sequential probability assignment via online convex programming using exponential families. ISIT Maxim Raginsky, Roummel F. Marcia, Jorge G. Silva, Rebecca M. Willett
2008	Misc	`conf`	Compressive coded aperture superresolution image reconstruction. ICASSP Roummel F. Marcia, Rebecca Willett
2008	—	`conf`	Compressive coded aperture video reconstruction. EUSIPCO Roummel F. Marcia, Rebecca M. Willett
2008	B	`conf`	Fast disambiguation of superimposed images for increased field of view. ICIP Roummel F. Marcia, Changsoon Kim, Jungsang Kim, David J. Brady, Rebecca Willett
2007	J	`jnl`	Global optimization in protein docking using clustering, underestimation and semidefinite programming. Optim. Methods Softw. Roummel F. Marcia, Julie C. Mitchell, Stephen J. Wright
2007	J	`jnl`	Multi-funnel optimization using Gaussian underestimation. J. Glob. Optim. Roummel F. Marcia, Julie C. Mitchell, J. Ben Rosen
2006	J	`jnl`	A simplified pivoting strategy for symmetric tridiagonal matrices. Numer. Linear Algebra Appl. James R. Bunch, Roummel F. Marcia
2005	J	`jnl`	A pivoting strategy for symmetric tridiagonal matrices. Numer. Linear Algebra Appl. James R. Bunch, Roummel F. Marcia
2005	J	`jnl`	Iterative Convex Quadratic Approximation for Global Optimization in Protein Docking. Comput. Optim. Appl. Roummel F. Marcia, Julie C. Mitchell, J. Ben Rosen
2004	J	`jnl`	Convex Quadratic Approximation. Comput. Optim. Appl. J. Ben Rosen, Roummel F. Marcia