Segmentation Certainty Through Uncertainty: Uncertainty-Refined Binary Volumetric Segmentation Under Multifactor Domain Shift. - Carianne Martinez; Kevin M. Potter; Matthew D. Smith 002; Emily A. Donahue; Lincoln Collins; John P. Korbin; Scott A. Roberts (CVPR Workshops, 2019)

Understanding Automatically-Generated Patches Through Symbolic Invariant Differences. - Padraic Cashin; Carianne Martinez; Westley Weimer; Stephanie Forrest (ASE, 2019)

We Know Where We Don't Know: 3D Bayesian CNNs for Uncertainty Quantification of Binary Segmentations for Material Simulations. - Tyler LaBonte; Carianne Martinez; Scott A. Roberts (CoRR, 2019)

Confronting Domain Shift in Trained Neural Networks. - Carianne Martinez; David A. Najera-Flores; Adam R. Brink; D. Dane Quinn; Eleni N. Chatzi; Stephanie Forrest (Preregister@NeurIPS, 2020)

Quantifying the Unknown: Impact of Segmentation Uncertainty on Image-Based Simulations. - Michael C. Krygier; Tyler LaBonte; Carianne Martinez; Chance Norris; Krish Sharma; Lincoln N. Collins; Partha P. Mukherjee; Scott A. Roberts (CoRR, 2020)

WiCV 2020: The Seventh Women In Computer Vision Workshop. - Hazel Doughty; Nour Karessli; Kathryn Leonard; Boyi Li; Carianne Martinez; Azadeh Mobasher; Arsha Nagrani; Srishti Yadav (CoRR, 2021)

Hierarchical partition of unity networks: fast multilevel training. - Nathaniel Trask; Amelia Henriksen; Carianne Martinez; Eric C. Cyr (MSML, 2022)

Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery. - Nathaniel Trask; Carianne Martinez; Kookjin Lee; Brad Boyce (CoRR, 2022)

Causal disentanglement of multimodal data. - Elise Walker; Jonas A. Actor; Carianne Martinez; Nathaniel Trask (CoRR, 2023)

Deep sequential neural network models improve stratification of suicide attempt risk among US veterans. - 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 (J. Am. Medical Informatics Assoc., 2023)

Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation. - Kevin M. Potter; Carianne Martinez; Reina Pradhan; Samantha J. Brozak; Steven Sleder; Lauren Wheeler (CoRR, 2024)