Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing Data. - Vincent Dumont; Verónica Rodríguez Tribaldos; Jonathan Ajo-Franklin; Kesheng Wu (IEEE BigData, 2020)

Deep Learning on Real Geophysical Data: A Case Study for Distributed Acoustic Sensing Research. - Vincent Dumont; Verónica Rodríguez Tribaldos; Jonathan Ajo-Franklin; Kesheng Wu (CoRR, 2020)

HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization. - Vincent Dumont; Casey Garner; Anuradha Trivedi; Chelsea Jones; Vidya Ganapati; Juliane Mueller 002; Talita Perciano; Mariam Kiran; Marc Day (MLHPC@SC, 2021)

Hyperparameter Optimization of Generative Adversarial Network Models for High-Energy Physics Simulations. - Vincent Dumont; Xiangyang Ju; Juliane Mueller 002 (CoRR, 2022)

A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography. - Rey Mendoza; Minh Nguyen; Judith Weng Zhu; Vincent Dumont; Talita Perciano; Juliane Mueller 002; Vidya Ganapati (CoRR, 2022)