Carianne Martinez

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Multimodal Data

Trained Neural Networks

Manually Generated

Top Venues

Preregister@NeurIPS

Publications

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) (2023)
Elise Walker, Jonas A. Actor, Carianne Martinez, Nathaniel Trask
Causal disentanglement of multimodal data. CoRR (2023)
Nathaniel Trask, Carianne Martinez, Kookjin Lee, Brad Boyce
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery. CoRR (2022)
Nathaniel Trask, Amelia Henriksen, Carianne Martinez, Eric C. Cyr
Hierarchical partition of unity networks: fast multilevel training. MSML (2022)
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 (2021)
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 (2020)
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)
Padraic Cashin, Carianne Martinez, Westley Weimer, Stephanie Forrest
Understanding Automatically-Generated Patches Through Symbolic Invariant Differences. ASE (2019)
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 (2019)
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)