Search Results for author: Nouamane Laanait

Found 5 papers, 1 papers with code

Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data

no code implementations21 Feb 2021 Massimiliano Lupo Pasini, Vittorio Gabbi, Junqi Yin, Simona Perotto, Nouamane Laanait

We propose a distributed approach to train deep convolutional generative adversarial neural network (DC-CGANs) models.

Exascale Deep Learning for Scientific Inverse Problems

no code implementations24 Sep 2019 Nouamane Laanait, Joshua Romero, Junqi Yin, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Borisevich, Alex Sergeev, Michael Matheson

We introduce novel communication strategies in synchronous distributed Deep Learning consisting of decentralized gradient reduction orchestration and computational graph-aware grouping of gradient tensors.

Materials Imaging

USID and Pycroscopy -- Open frameworks for storing and analyzing spectroscopic and imaging data

1 code implementation22 Mar 2019 Suhas Somnath, Chris R. Smith, Nouamane Laanait, Rama K. Vasudevan, Anton Ievlev, Alex Belianinov, Andrew R. Lupini, Mallikarjun Shankar, Sergei V. Kalinin, Stephen Jesse

The second is Pycroscopy, which provides algorithms for scientific analysis of nanoscale imaging and spectroscopy modalities and is built on top of pyUSID and USID.

Data Analysis, Statistics and Probability

Reconstruction of 3-D Atomic Distortions from Electron Microscopy with Deep Learning

no code implementations19 Feb 2019 Nouamane Laanait, Qian He, Albina Y. Borisevich

Deep learning has demonstrated superb efficacy in processing imaging data, yet its suitability in solving challenging inverse problems in scientific imaging has not been fully explored.

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