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Carianne Martinez
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2020 – today
- 2024
- [i6]Kevin M. Potter, Carianne Martinez, Reina Pradhan, Samantha Brozak, Steven Sleder, Lauren Wheeler:
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation. CoRR abs/2409.12815 (2024) - 2023
- [j1]Carianne Martinez, Drew Levin
, Jessica Jones, Patrick D. Finley, Benjamin H. McMahon, Sayera Dhaubhadel, Judith Cohn, David W. Oslin, Nathan A. Kimbrel, Jean C. Beckham:
Deep sequential neural network models improve stratification of suicide attempt risk among US veterans. J. Am. Medical Informatics Assoc. 31(1): 220-230 (2023) - [i5]Elise Walker, Jonas A. Actor, Carianne Martinez, Nathaniel Trask:
Causal disentanglement of multimodal data. CoRR abs/2310.18471 (2023) - 2022
- [c4]Nathaniel Trask, Amelia Henriksen, Carianne Martinez, Eric C. Cyr:
Hierarchical partition of unity networks: fast multilevel training. MSML 2022: 271-286 - [i4]Nathaniel Trask, Carianne Martinez, Kookjin Lee, Brad Boyce:
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery. CoRR abs/2202.03242 (2022) - 2021
- [i3]Hazel Doughty, Nour Karessli, Kathryn Leonard, Boyi Li, Carianne Martinez, Azadeh Mobasher, Arsha Nagrani, Srishti Yadav:
WiCV 2020: The Seventh Women In Computer Vision Workshop. CoRR abs/2101.03787 (2021) - 2020
- [c3]Carianne Martinez, David A. Najera-Flores, Adam R. Brink, D. Dane Quinn, Eleni N. Chatzi, Stephanie Forrest:
Confronting Domain Shift in Trained Neural Networks. Preregister@NeurIPS 2020: 176-192 - [i2]Michael C. Krygier, Tyler LaBonte, Carianne Martinez, Chance Norris, Krish Sharma, Lincoln N. Collins, Partha P. Mukherjee, Scott A. Roberts:
Quantifying the Unknown: Impact of Segmentation Uncertainty on Image-Based Simulations. CoRR abs/2012.09913 (2020)
2010 – 2019
- 2019
- [c2]Carianne Martinez, Kevin M. Potter, Matthew D. Smith, Emily A. Donahue, Lincoln Collins, John P. Korbin, Scott A. Roberts:
Segmentation Certainty Through Uncertainty: Uncertainty-Refined Binary Volumetric Segmentation Under Multifactor Domain Shift. CVPR Workshops 2019: 484-486 - [c1]Padraic Cashin, Carianne Martinez, Westley Weimer, Stephanie Forrest
Understanding Automatically-Generated Patches Through Symbolic Invariant Differences. ASE 2019: 411-414 - [i1]Tyler LaBonte, Carianne Martinez, Scott A. Roberts:
We Know Where We Don't Know: 3D Bayesian CNNs for Uncertainty Quantification of Binary Segmentations for Material Simulations. CoRR abs/1910.10793 (2019)
Coauthor Index
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last updated on 2024-10-22 20:15 CEST by the dblp team
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