research
∙
04/25/2023
Unsupervised Domain Transfer for Science: Exploring Deep Learning Methods for Translation between LArTPC Detector Simulations with Differing Response Models
Deep learning (DL) techniques have broad applications in science, especi...
share
research
∙
03/28/2023
Rethinking CycleGAN: Improving Quality of GANs for Unpaired Image-to-Image Translation
An unpaired image-to-image (I2I) translation technique seeks to find a m...
research
∙
06/07/2022
Perturbative methods for mostly monotonic probabilistic satisfiability problems
The probabilistic satisfiability of a logical expression is a fundamenta...
research
∙
03/04/2022
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation
Image-to-image translation has broad applications in art, design, and sc...
research
∙
02/23/2022
A Bayesian Deep Learning Approach to Near-Term Climate Prediction
Since model bias and associated initialization shock are serious shortco...
research
∙
11/09/2021
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder
Real-time data collection and analysis in large experimental facilities ...
research
∙
08/27/2021
Feature Importance in a Deep Learning Climate Emulator
We present a study using a class of post-hoc local explanation methods i...
research
∙
05/21/2019
