A programming framework for neuromorphic systems with emerging technologies. - Catherine D. Schuman; James S. Plank; Garrett S. Rose; Gangotree Chakma; Austin Wyer; Grant Bruer; Nouamane Laanait (NANOCOM, 2017)

Towards Native Execution of Deep Learning on a Leadership-Class HPC System. - Srikanth B. Yoginath; Md. Maksudul Alam; Arvind Ramanathan; Debsindhu Bhowmik; Nouamane Laanait; Kalyan S. Perumalla (IPDPS Workshops, 2019)

Strategies to Deploy and Scale Deep Learning on the Summit Supercomputer. - Junqi Yin; Shubhankar Gahlot; Nouamane Laanait; Ketan Maheshwari; Jack Morrison; Sajal Dash; Mallikarjun Shankar (DLS@SC, 2019)

Reconstruction of 3-D Atomic Distortions from Electron Microscopy with Deep Learning. - Nouamane Laanait; Qian He; Albina Y. Borisevich (CoRR, 2019)

Exascale Deep Learning for Scientific Inverse Problems. - Nouamane Laanait; Joshua Romero; Junqi Yin; M. Todd Young; Sean Treichler; Vitalii Starchenko; Albina Y. Borisevich; Alex Sergeev; Michael A. Matheson (CoRR, 2019)

Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics. - Suzanne Parete-Koon; Peter F. Peterson; Garrett E. Granroth; Wenduo Zhou; Pravallika Devineni; Nouamane Laanait; Junqi Yin; Albina Y. Borisevich; Ketan Maheshwari; Melissa R. Allen-Dumas; Srinath Ravulaparthy; Kuldeep R. Kurte; et al. (SMC, 2020)

Scalable balanced training of conditional generative adversarial neural networks on image data. - Massimiliano Lupo Pasini; Vittorio Gabbi; Junqi Yin; Simona Perotto; Nouamane Laanait (J. Supercomput., 2021)

Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks. - Joshua Romero; Junqi Yin; Nouamane Laanait; Bing Xie; M. Todd Young; Sean Treichler; Vitalii Starchenko; Albina Y. Borisevich; Alex Sergeev; Michael A. Matheson (NSDI, 2022)

Evaluating Robust Entanglement on a Trapped Ion Platform. - Kathleen E. Hamilton; Titus Morris; Raphael C. Pooser; Kübra Yeter-Aydeniz; Luning Zhao; Nouamane Laanait; Harrison Cooley; Muhun Kang; George Barron; Sophia E. Economou; Akhil Francis; Alexander F. Kemper (QCE, 2023)

How quantum computing can enhance biomarker discovery. - Frederik F. Flöther; Daniel Blankenberg; Maria Demidik; Karl Jansen; Raga Krishnakumar; Rajiv Krishnakumar; Nouamane Laanait; Laxmi Parida; Carl Y. Saab; Filippo Utro (Patterns, 2025)