CosmoSIS: Modular cosmological parameter estimation. - Joe Zuntz; Marc F. Paterno; Elise Jennings; Douglas H. Rudd; Alessandro Manzotti; Scott Dodelson; Sarah Bridle; Saba Sehrish; Jim Kowalkowski (Astron. Comput., 2015)

astroABC : An Approximate Bayesian Computation Sequential Monte Carlo sampler for cosmological parameter estimation. - Elise Jennings; Maeve Madigan (Astron. Comput., 2017)

A Generalized Statistics-Based Model for Predicting Network-Induced Variability. - Sudheer Chunduri; Elise Jennings; Kevin Harms; Christopher Knight 001; Scott Parker (PMBS@SC, 2019)

Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping. - Wushi Dong; Nicola J. Ferrier; Narayanan Kasthuri; Peter Littlewood; Murat Keçeli; Rafael Vescovi; Hanyu Li; Corey Adams; Elise Jennings; Samuel Flender; Thomas D. Uram; Venkatram Vishwanath (DLS@SC, 2019)

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. - Gabrielle Allen; Igor Andreoni; Etienne Bachelet; G. Bruce Berriman; Federica B. Bianco; Rahul Biswas; Matias Carrasco Kind; Kyle Chard; Minsik Cho; Philip S. Cowperthwaite; Zachariah B. Etienne; Daniel George; et al. (CoRR, 2019)

Enabling real-time multi-messenger astrophysics discoveries with deep learning. - Eliu A. Huerta; Gabrielle Allen; Igor Andreoni; Javier Mauricio Antelis; Etienne Bachelet; G. Bruce Berriman; Federica B. Bianco; Rahul Biswas; Matias Carrasco Kind; Kyle Chard; Minsik Cho; Philip S. Cowperthwaite; et al. (CoRR, 2019)

Deploying deep learning in OpenFOAM with TensorFlow. - Romit Maulik; Himanshu Sharma; Saumil Patel; Bethany Lusch; Elise Jennings (CoRR, 2020)

Bayesian neural networks at scale: a performance analysis and pruning study. - Himanshu Sharma; Elise Jennings (J. Supercomput., 2021)

A Kubernetes 'Bridge' operator between cloud and external resources. - Boris Lublinsky; Elise Jennings; Viktória Spisaková (CoRR, 2022)

$$ : A Quantum Emulation Workbench for Benchmark Construction and Application Development. - Elise Jennings; Martin Rüfenacht; Stefan Kister (Euro-Par Workshops (1), 2024)

A Framework and Methodology for Performance Prediction of HPC Workloads. - Júlia Orteu; Marc Clascà; Jesús Labarta; Elise Jennings; Stefan Andersson; Marta Garcia-Gasulla (PPAM (3), 2024)