Multiclass Semi-supervised Learning on Graphs Using Ginzburg-Landau Functional Minimization. - Cristina Garcia-Cardona; Arjuna Flenner; Allon G. Percus (ICPRAM (Selected Papers), 2013)

Multiclass Diffuse Interface Models for Semi-supervised Learning on Graphs. - Cristina Garcia-Cardona; Arjuna Flenner; Allon G. Percus (ICPRAM, 2013)

Spectral Clustering with Epidemic Diffusion - Laura M. Smith; Kristina Lerman; Cristina Garcia-Cardona; Allon G. Percus; Rumi Ghosh (CoRR, 2013)

Diffuse interface methods for multiclass segmentation of high-dimensional data. - Ekaterina Merkurjev; Cristina Garcia-Cardona; Andrea L. Bertozzi; Arjuna Flenner; Allon G. Percus (Appl. Math. Lett., 2014)

Multiclass Data Segmentation Using Diffuse Interface Methods on Graphs. - Cristina Garcia-Cardona; Ekaterina Merkurjev; Andrea L. Bertozzi; Arjuna Flenner; Allon G. Percus (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Subproblem coupling in convolutional dictionary learning. - Cristina Garcia-Cardona; Brendt Wohlberg (ICIP, 2017)

Online convolutional dictionary learning. - Jialin Liu 003; Cristina Garcia-Cardona; Brendt Wohlberg; Wotao Yin (ICIP, 2017)

Convolutional Dictionary Learning. - Cristina Garcia-Cardona; Brendt Wohlberg (CoRR, 2017)

Convolutional Dictionary Learning for Multi-Channel Signals. - Cristina Garcia-Cardona; Brendt Wohlberg (ACSSC, 2018)

Tomographic Reconstruction Via 3D Convolutional Dictionary Learning. - Erik Skau; Cristina Garcia-Cardona (IVMSP, 2018)

CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research. - 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; et al. (BMC Bioinform., 2018)

Predicting tumor cell line response to drug pairs with deep learning. - 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 (BMC Bioinform., 2018)

First- and Second-Order Methods for Online Convolutional Dictionary Learning. - Jialin Liu 003; Cristina Garcia-Cardona; Brendt Wohlberg; Wotao Yin (SIAM J. Imaging Sci., 2018)

Convolutional Dictionary Learning: A Comparative Review and New Algorithms. - Cristina Garcia-Cardona; Brendt Wohlberg (IEEE Trans. Computational Imaging, 2018)

Learning to Predict Material Structure from Neutron Scattering Data. - Cristina Garcia-Cardona; Ramakrishnan Kannan; Travis Johnston; Thomas Proffen; Katharine Page; Sudip K. Seal (IEEE BigData, 2019)

Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach. - Cristina Garcia-Cardona; Ramakrishnan Kannan; Travis Johnston; Thomas Proffen; Sudip K. Seal (IEEE BigData, 2020)

Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture. - Cristina Garcia-Cardona; M. Giselle Fernández-Godino; Daniel O'Malley; Tanmoy Bhattacharya 001 (CoRR, 2020)

Co-design Center for Exascale Machine Learning Technologies (ExaLearn). - Francis J. Alexander; James A. Ang; Jenna A. Bilbrey; Jan Balewski; Tiernan Casey; Ryan Chard; Jong Choi 001; Sutanay Choudhury; Bert J. Debusschere; Anthony M. DeGennaro; Nikoli Dryden; J. Austin Ellis; et al. (Int. J. High Perform. Comput. Appl., 2021)

A cross-study analysis of drug response prediction in cancer cell lines. - 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; et al. (Briefings Bioinform., 2022)

Scientific Computational Imaging Code (SCICO). - Thilo Balke; Fernando Davis; Cristina Garcia-Cardona; Soumendu Majee; Michael T. McCann; Luke Pfister; Brendt Wohlberg (J. Open Source Softw., 2022)

A Deep Learning Pipeline for Optimizing Large-scale Phase Field Simulations. - Ramakrishnan Kannan; Cristina Garcia-Cardona; Balasubramaniam Radhakrishnan; Sudip K. Seal (IEEE Big Data, 2023)

A Parallel Machine Learning Workflow for Neutron Scattering Data Analysis. - Tianle Wang 001; Sudip K. Seal; Ramakrishnan Kannan; Cristina Garcia-Cardona; Thomas Proffen; Shantenu Jha (IPDPS Workshops, 2023)

Reinforcement Learning for Block Decomposition of CAD Models. - Benjamin C. DiPrete; Rao V. Garimella; Cristina Garcia-Cardona; Navamita Ray (CoRR, 2023)

PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction. - Weijie Gan; Qiuchen Zhai; Michael Thompson McCann; Cristina Garcia-Cardona; Ulugbek S. Kamilov; Brendt Wohlberg (CoRR, 2023)

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry. - Tianle Wang 001; Jorge Ramirez; Cristina Garcia-Cardona; Thomas Proffen; Shantenu Jha; Sudip K. Seal (IEEE Big Data, 2024)

Random Walks with Tweedie: A Unified Framework for Diffusion Models. - Chicago Y. Park; Michael T. McCann; Cristina Garcia-Cardona; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2024)

Plug-and-Play Priors as a Score-Based Method. - Chicago Y. Park; Yuyang Hu; Michael T. McCann; Cristina Garcia-Cardona; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2024)

Reinforcement learning for block decomposition of planar CAD models. - Benjamin C. DiPrete; Rao V. Garimella; Cristina Garcia-Cardona; Navamita Ray (Eng. Comput., 2024)

Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis. - 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; et al. (CoRR, 2025)

A General Framework for Group Sparsity in Hyperspectral Unmixing Using Endmember Bundles. - Gokul Bhusal; Yifei Lou; Cristina Garcia-Cardona; Ekaterina Merkurjev (CoRR, 2025)

Random Walks With Tweedie: A Unified View of Score-Based Diffusion Models [In the Spotlight]. - Chicago Y. Park; Michael T. McCann; Cristina Garcia-Cardona; Brendt Wohlberg; Ulugbek S. Kamilov (IEEE Signal Process. Mag., 2025)