Nouamane Laanait

11 papers B 1Misc 2Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	How quantum computing can enhance biomarker discovery. Patterns Frederik F. Flöther, Daniel Blankenberg, Maria Demidik, Karl Jansen, Raga Krishnakumar, Rajiv Krishnakumar, Nouamane Laanait, Laxmi Parida, Carl Y. Saab, Filippo Utro
2023	Misc	`conf`	Evaluating Robust Entanglement on a Trapped Ion Platform. QCE 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
2022	Misc	`conf`	Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks. NSDI Joshua Romero, Junqi Yin, Nouamane Laanait, Bing Xie, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson
2021	J	`jnl`	Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data. CoRR Massimiliano Lupo Pasini, Vittorio Gabbi, Junqi Yin, Simona Perotto, Nouamane Laanait
2021	J	`jnl`	Scalable balanced training of conditional generative adversarial neural networks on image data. J. Supercomput. Massimiliano Lupo Pasini, Vittorio Gabbi, Junqi Yin, Simona Perotto, Nouamane Laanait
2020	B	`conf`	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. SMC 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, Jibo Sanyal, Anne Berres, Olivera Kotevska, Folami Alamudun, Keith Gray, Max Grossman, Anar Yusifov, Ioana Danciu, Gil Alterovitz, Dasha Herrmannova
2019	J	`jnl`	Exascale Deep Learning for Scientific Inverse Problems. CoRR Nouamane Laanait, Joshua Romero, Junqi Yin, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson
2019	J	`jnl`	Reconstruction of 3-D Atomic Distortions from Electron Microscopy with Deep Learning. CoRR Nouamane Laanait, Qian He, Albina Y. Borisevich
2019	—	`conf`	Strategies to Deploy and Scale Deep Learning on the Summit Supercomputer. DLS@SC Junqi Yin, Shubhankar Gahlot, Nouamane Laanait, Ketan Maheshwari, Jack Morrison, Sajal Dash, Mallikarjun Shankar
2019	—	`conf`	Towards Native Execution of Deep Learning on a Leadership-Class HPC System. IPDPS Workshops Srikanth B. Yoginath, Md. Maksudul Alam, Arvind Ramanathan, Debsindhu Bhowmik, Nouamane Laanait, Kalyan S. Perumalla
2017	—	`conf`	A programming framework for neuromorphic systems with emerging technologies. NANOCOM Catherine D. Schuman, James S. Plank, Garrett S. Rose, Gangotree Chakma, Austin Wyer, Grant Bruer, Nouamane Laanait