Carianne Martinez | DeepAI

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Featured Co-authors

Arsha Nagrani
43 publications
Nathaniel Trask
20 publications
Kookjin Lee
18 publications
Hazel Doughty
13 publications
Boyi Li
12 publications
Kathryn Leonard
8 publications
Nour Karessli
7 publications
Tyler LaBonte
3 publications
Scott A. Roberts
3 publications
Srishti Yadav
3 publications
Lincoln N. Collins
2 publications

research

∙ 02/07/2022

Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery

We introduce physics-informed multimodal autoencoders (PIMA) - a variati...

0 Nathaniel Trask, et al. ∙

research

∙ 01/11/2021

WiCV 2020: The Seventh Women In Computer Vision Workshop

In this paper we present the details of Women in Computer Vision Worksho...

2 Hazel Doughty, et al. ∙

research

∙ 12/17/2020

Quantifying the Unknown: Impact of Segmentation Uncertainty on Image-Based Simulations

Image-based simulation, the use of 3D images to calculate physical quant...

0 Michael C. Krygier, et al. ∙

research

∙ 10/23/2019

We Know Where We Don't Know: 3D Bayesian CNNs for Uncertainty Quantification of Binary Segmentations for Material Simulations

Deep learning has been applied with great success to the segmentation of...

31 Tyler LaBonte, et al. ∙