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Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework | Nature Machine Intelligence
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Attribution-Driven Explanation of the Deep Neural Network Model via Conditional Microstructure Image Synthesis | ACS Omega
Applied Sciences | Free Full-Text | A Deep Convolutional Generative Adversarial Networks-Based Method for Defect Detection in Small Sample Industrial Parts Images
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Molecular Generative Model Based on an Adversarially Regularized Autoencoder | Journal of Chemical Information and Modeling
Structure-Based de Novo Molecular Generator Combined with Artificial Intelligence and Docking Simulations | Journal of Chemical Information and Modeling
Machine intelligence for chemical reaction space - Schwaller - 2022 - WIREs Computational Molecular Science - Wiley Online Library
Deep learning model to predict complex stress and strain fields in hierarchical composites | Science Advances
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Generative adversarial networks unlock new methods for cognitive science: Trends in Cognitive Sciences