Artificial intelligence for accelerating material science research and developmentChristophe RosselHeiko Wolf2022SPS Communications
In-Pocket 3D Graphs Enhance Ligand-Target Compatibility in Generative Small-Molecule CreationSeung Gu KangJeff Weberet al.2022arXiv
Analysis of Training and Seed Bias in Small Molecules Generated with a Conditional Graph-Based Variational Autoencoder─Insights for Practical AI-Driven Molecule GenerationSeung-Gu KangJoseph A. Morroneet al.2022J. Chem. Inf. Model.
A Systematic Survey on Deep Generative Models for Graph GenerationXiaojie GuoLiang Zhao2021IEEE TPAMI
Pattern detection in the activation space for identifying synthesized contentCelia CintasSkyler Speakmanet al.2021Pattern Recognition Letters
Self-Supervised Ground-Roll Noise Attenuation Using Self-Labeling and Paired Data SynthesisDário Augusto Borges OliveiraDaniil G. Seminet al.2021IEEE TGRS
Practical Adversarial Robustness in Deep Learning: Problems and SolutionsPin-Yu ChenSayak Paul2021CVPR 2021
Trends in deep learning for property-driven drug designJannis BornMatteo Manica2021Current Medicinal Chemistry
From disjoint sets to parallel data to train seq2seq models for sentiment transferPaulo CavalinMarisa Vasconceloset al.2020EMNLP 2020
Pushing the Limits of AMR Parsing with Self-LearningYoung-Suk LeeRamón Fernandez Astudilloet al.2020EMNLP 2020