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)

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

PILArNet: Public Dataset for Particle Imaging Liquid Argon Detectors in High Energy Physics. - Corey Adams; Kazuhiro Terao; Taritree Wongjirad (CoRR, 2020)

Stream-AI-MD: streaming AI-driven adaptive molecular simulations for heterogeneous computing platforms. - Alexander Brace; Michael Salim; Vishal Subbiah; Heng Ma; Murali Emani; Anda Trifan; Austin R. Clyde; Corey Adams; Thomas D. Uram; Hyun Seung Yoo; Andew Hock; Jessica Liu; et al. (PASC, 2021)

Accelerating Scientific Applications With SambaNova Reconfigurable Dataflow Architecture. - Murali Emani; Venkatram Vishwanath; Corey Adams; Michael E. Papka; Rick Stevens; Laura Florescu; Sumti Jairath; William Liu; Tejas Nama; Arvind Sujeeth; Volodymyr V. Kindratenko; Anne C. Elster (Comput. Sci. Eng., 2021)

Cosmic Ray Background Removal With Deep Neural Networks in SBND. - R. Acciarri; Corey Adams; C. Andreopoulos; J. Asaadi; M. Babicz; C. Backhouse; W. Badgett; L. Bagby; D. Barker; V. Basque; M. C. Q. Bazetto; M. Betancourt; et al. (Frontiers Artif. Intell., 2021)

Demonstration of Portable Performance of Scientific Machine Learning on High Performance Computing Systems. - Khalid Hossain; Riccardo Balin; Corey Adams; Thomas D. Uram; Kalyan Kumaran; Venkatram Vishwanath; Tanima Dey; Subrata Goswami; Janghaeng Lee; Rebecca Ramer; Koichi Yamada (SC Workshops, 2023)