Cristina Garcia-Cardona

According to our database, Cristina Garcia-Cardona authored at least 25 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reinforcement learning for block decomposition of planar CAD models.

Benjamin C. DiPrete, Rao V. Garimella, Cristina Garcia-Cardona, Navamita Ray

Eng. Comput., October, 2024

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

Reinforcement Learning for Block Decomposition of CAD Models.

Benjamin C. DiPrete, Rao V. Garimella, Cristina Garcia-Cardona, Navamita Ray

CoRR, 2023

A Parallel Machine Learning Workflow for Neutron Scattering Data Analysis.

Tianle Wang, Sudip K. Seal, Ramakrishnan Kannan, Cristina Garcia-Cardona, Thomas Proffen, Shantenu Jha

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

A Deep Learning Pipeline for Optimizing Large-scale Phase Field Simulations.

Ramakrishnan Kannan, Cristina Garcia-Cardona, Balasubramaniam Radhakrishnan, Sudip K. Seal

Proceedings of the IEEE International Conference on Big Data, 2023

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., October, 2022

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, 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

Briefings Bioinform., 2022

2021

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, 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

Int. J. High Perform. Comput. Appl., 2021

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

CoRR, 2020

Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach.

Cristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Sudip K. Seal

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Learning to Predict Material Structure from Neutron Scattering Data.

Cristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Katharine Page, Sudip K. Seal

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Convolutional Dictionary Learning: A Comparative Review and New Algorithms.

Cristina Garcia-Cardona, Brendt Wohlberg

IEEE Trans. Computational Imaging, 2018

First- and Second-Order Methods for Online Convolutional Dictionary Learning.

Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin

SIAM J. Imaging Sci., 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

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, Matthew Baughman

BMC Bioinform., 2018

Tomographic Reconstruction Via 3D Convolutional Dictionary Learning.

Erik Skau, Cristina Garcia-Cardona

Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018

Convolutional Dictionary Learning for Multi-Channel Signals.

Cristina Garcia-Cardona, Brendt Wohlberg

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Convolutional Dictionary Learning.

Cristina Garcia-Cardona, Brendt Wohlberg

CoRR, 2017

Online convolutional dictionary learning.

Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Subproblem coupling in convolutional dictionary learning.

Cristina Garcia-Cardona, Brendt Wohlberg

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

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

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

2013

Spectral Clustering with Epidemic Diffusion

Laura M. Smith, Kristina Lerman, Cristina Garcia-Cardona, Allon G. Percus, Rumi Ghosh

CoRR, 2013

Multiclass Diffuse Interface Models for Semi-supervised Learning on Graphs.

Cristina Garcia-Cardona, Arjuna Flenner, Allon G. Percus

Proceedings of the ICPRAM 2013, 2013

Multiclass Semi-supervised Learning on Graphs Using Ginzburg-Landau Functional Minimization.

Cristina Garcia-Cardona, Arjuna Flenner, Allon G. Percus

Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013