Cristina Garcia-Cardona

40 papers B 4C 1Misc 1Journal 29Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A General Framework for Group Sparsity in Hyperspectral Unmixing Using Endmember Bundles. J. Math. Imaging Vis. Gokul Bhusal, Yifei Lou, Cristina Garcia-Cardona, Ekaterina Merkurjev
2026	J	`jnl`	Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis. Briefings Bioinform. Alexander Partin, Priyanka Vasanthakumari, Oleksandr Narykov, Andreas Wilke, Natasha Koussa, Sara E. Jones, Yitan Zhu, Jamie C. Overbeek, Rajeev Jain, Gayara Demini Fernando, Cesar Sanchez-Villalobos, Cristina Garcia-Cardona, Jamaludin Mohd-Yusof, Nicholas Chia, Justin M. Wozniak, Souparno Ghosh, Ranadip Pal, Thomas S. Brettin, M. Ryan Weil, Rick L. Stevens
2025	J	`jnl`	A General Framework for Group Sparsity in Hyperspectral Unmixing Using Endmember Bundles. CoRR Gokul Bhusal, Yifei Lou, Cristina Garcia-Cardona, Ekaterina Merkurjev
2025	J	`jnl`	An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry. CoRR Tianle Wang, Jorge Ramirez, Cristina Garcia-Cardona, Thomas Proffen, Shantenu Jha, Sudip K. Seal
2025	J	`jnl`	Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis. CoRR Alexander Partin, Priyanka Vasanthakumari, Oleksandr Narykov, Andreas Wilke, Natasha Koussa, Sara E. Jones, Yitan Zhu, Jamie C. Overbeek, Rajeev Jain, Gayara Demini Fernando, Cesar Sanchez-Villalobos, Cristina Garcia-Cardona, Jamaludin Mohd-Yusof, Nicholas Chia, Justin M. Wozniak, Souparno Ghosh, Ranadip Pal, Thomas S. Brettin, M. Ryan Weil, Rick L. Stevens
2025	J	`jnl`	Deep Parameter Interpolation for Scalar Conditioning. CoRR Chicago Y. Park, Michael T. McCann, Cristina Garcia-Cardona, Brendt Wohlberg, Ulugbek S. Kamilov
2025	J	`jnl`	Plug-and-Play Image Restoration with Flow Matching: A Continuous Viewpoint. CoRR Fan Jia, Yuhao Huang, Shih-Hsin Wang, Cristina Garcia-Cardona, Andrea L. Bertozzi, Bao Wang
2025	J	`jnl`	Random Walks With Tweedie: A Unified View of Score-Based Diffusion Models [In the Spotlight]. IEEE Signal Process. Mag. Chicago Y. Park, Michael T. McCann, Cristina Garcia-Cardona, Brendt Wohlberg, Ulugbek S. Kamilov
2024	B	`conf`	An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry. IEEE Big Data Tianle Wang, Jorge Ramirez, Cristina Garcia-Cardona, Thomas Proffen, Shantenu Jha, Sudip K. Seal
2024	J	`jnl`	Plug-and-Play Priors as a Score-Based Method. CoRR Chicago Y. Park, Yuyang Hu, Michael T. McCann, Cristina Garcia-Cardona, Brendt Wohlberg, Ulugbek S. Kamilov
2024	J	`jnl`	Random Walks with Tweedie: A Unified Framework for Diffusion Models. CoRR Chicago Y. Park, Michael T. McCann, Cristina Garcia-Cardona, Brendt Wohlberg, Ulugbek S. Kamilov
2024	J	`jnl`	Reinforcement learning for block decomposition of planar CAD models. Eng. Comput. Benjamin C. DiPrete, Rao V. Garimella, Cristina Garcia-Cardona, Navamita Ray
2023	B	`conf`	A Deep Learning Pipeline for Optimizing Large-scale Phase Field Simulations. IEEE Big Data Ramakrishnan Kannan, Cristina Garcia-Cardona, Balasubramaniam Radhakrishnan, Sudip K. Seal
2023	—	`conf`	A Parallel Machine Learning Workflow for Neutron Scattering Data Analysis. IPDPS Workshops Tianle Wang, Sudip K. Seal, Ramakrishnan Kannan, Cristina Garcia-Cardona, Thomas Proffen, Shantenu Jha
2023	J	`jnl`	PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction. CoRR Weijie Gan, Qiuchen Zhai, Michael Thompson McCann, Cristina Garcia-Cardona, Ulugbek S. Kamilov, Brendt Wohlberg
2023	J	`jnl`	Reinforcement Learning for Block Decomposition of CAD Models. CoRR Benjamin C. DiPrete, Rao V. Garimella, Cristina Garcia-Cardona, Navamita Ray
2022	J	`jnl`	A cross-study analysis of drug response prediction in cancer cell lines. Briefings Bioinform. Fangfang Xia, Jonathan E. Allen, Prasanna Balaprakash, Thomas S. Brettin, Cristina Garcia-Cardona, Austin Clyde, Judith D. Cohn, James H. Doroshow, Xiaotian Duan, Veronika Dubinkina, Yvonne A. Evrard, Ya Ju Fan, Jason Gans, Stewart He, Pinyi Lu, Sergei Maslov, Alexander Partin, Maulik Shukla, Eric A. Stahlberg, Justin M. Wozniak, Hyun Seung Yoo, George F. Zaki, Yitan Zhu, Rick Stevens
2022	J	`jnl`	Scientific Computational Imaging Code (SCICO). J. Open Source Softw. Thilo Balke, Fernando Davis, Cristina Garcia-Cardona, Soumendu Majee, Michael T. McCann, Luke Pfister, Brendt Wohlberg
2021	J	`jnl`	Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. Francis J. Alexander, James Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishnaiah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon
2020	—	`conf`	Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach. IEEE BigData Cristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Sudip K. Seal
2020	J	`jnl`	Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture. CoRR Cristina Garcia-Cardona, M. Giselle Fernández-Godino, Daniel O'Malley, Tanmoy Bhattacharya
2019	—	`conf`	Learning to Predict Material Structure from Neutron Scattering Data. IEEE BigData Cristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Katharine Page, Sudip K. Seal
2018	J	`jnl`	CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research. BMC Bioinform. Justin M. Wozniak, Rajeev Jain, Prasanna Balaprakash, Jonathan Ozik, Nicholson T. Collier, John Bauer, Fangfang Xia, Thomas S. Brettin, Rick Stevens, Jamaludin Mohd-Yusof, Cristina Garcia-Cardona, Brian Van Essen, Matthew Baughman
2018	Misc	`conf`	Convolutional Dictionary Learning for Multi-Channel Signals. ACSSC Cristina Garcia-Cardona, Brendt Wohlberg
2018	J	`jnl`	Convolutional Dictionary Learning: A Comparative Review and New Algorithms. IEEE Trans. Computational Imaging Cristina Garcia-Cardona, Brendt Wohlberg
2018	J	`jnl`	First- and Second-Order Methods for Online Convolutional Dictionary Learning. SIAM J. Imaging Sci. Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin
2018	J	`jnl`	Predicting tumor cell line response to drug pairs with deep learning. BMC Bioinform. Fangfang Xia, Maulik Shukla, Thomas S. Brettin, Cristina Garcia-Cardona, Judith D. Cohn, Jonathan E. Allen, Sergei Maslov, Susan L. Holbeck, James H. Doroshow, Yvonne A. Evrard, Eric A. Stahlberg, Rick L. Stevens
2018	—	`conf`	Tomographic Reconstruction Via 3D Convolutional Dictionary Learning. IVMSP Erik Skau, Cristina Garcia-Cardona
2017	J	`jnl`	Convolutional Dictionary Learning. CoRR Cristina Garcia-Cardona, Brendt Wohlberg
2017	J	`jnl`	Online Convolutional Dictionary Learning. CoRR Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin
2017	J	`jnl`	Online Convolutional Dictionary Learning. CoRR Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin
2017	B	`conf`	Online convolutional dictionary learning. ICIP Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin
2017	B	`conf`	Subproblem coupling in convolutional dictionary learning. ICIP Cristina Garcia-Cardona, Brendt Wohlberg
2014	J	`jnl`	Diffuse interface methods for multiclass segmentation of high-dimensional data. Appl. Math. Lett. Ekaterina Merkurjev, Cristina Garcia-Cardona, Andrea L. Bertozzi, Arjuna Flenner, Allon G. Percus
2014	J	`jnl`	Multiclass Data Segmentation Using Diffuse Interface Methods on Graphs. IEEE Trans. Pattern Anal. Mach. Intell. Cristina Garcia-Cardona, Ekaterina Merkurjev, Andrea L. Bertozzi, Arjuna Flenner, Allon G. Percus
2013	C	`conf`	Multiclass Diffuse Interface Models for Semi-supervised Learning on Graphs. ICPRAM Cristina Garcia-Cardona, Arjuna Flenner, Allon G. Percus
2013	J	`jnl`	Multiclass Semi-Supervised Learning on Graphs using Ginzburg-Landau Functional Minimization. CoRR Cristina Garcia-Cardona, Arjuna Flenner, Allon G. Percus
2013	—	`conf`	Multiclass Semi-supervised Learning on Graphs Using Ginzburg-Landau Functional Minimization. ICPRAM (Selected Papers) Cristina Garcia-Cardona, Arjuna Flenner, Allon G. Percus
2013	J	`jnl`	Spectral Clustering with Epidemic Diffusion CoRR Laura M. Smith, Kristina Lerman, Cristina Garcia-Cardona, Allon G. Percus, Rumi Ghosh
2012	J	`jnl`	Multiclass Diffuse Interface Models for Semi-Supervised Learning on Graphs CoRR Cristina Garcia-Cardona, Arjuna Flenner, Allon G. Percus