Devasta mamă Ușoară a note on the evaluation of generative models teren principal Merita Blestemat
A framework to compare music generative models using automatic evaluation metrics extended to rhythm. | Songs, code and datasets to replicate the research and the specific results of the paper
Shape-Based Generative Modeling for de Novo Drug Design | Journal of Chemical Information and Modeling
On the evaluation of generative models in music | SpringerLink
A note on the evaluation of generative models | Papers With Code
De Novo Molecule Design Using Molecular Generative Models Constrained by Ligand–Protein Interactions | Journal of Chemical Information and Modeling
Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks | Nature Communications
Event generation and statistical sampling for physics with deep generative models and a density information buffer | Nature Communications
Generative Models for De Novo Drug Design | Journal of Medicinal Chemistry
Protein design and variant prediction using autoregressive generative models | Nature Communications
On the evaluation of generative models in music | SpringerLink
Generative Adversarial Networks with Python
Deep Generative Models | by Prakash Pandey | Towards Data Science
Conditional Molecular Design with Deep Generative Models | Journal of Chemical Information and Modeling
Frontiers | Deep Generative Models for Materials Discovery and Machine Learning-Accelerated Innovation
On the evaluation of generative models in music | Music Informatics Group
PDF] A note on the evaluation of generative models | Semantic Scholar
On the evaluation of generative models in music | SpringerLink
A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences - ScienceDirect
PDF) On the evaluation of generative models in music
Electronics | Free Full-Text | Review on Generative Adversarial Networks: Focusing on Computer Vision and Its Applications
A deep generative model enables automated structure elucidation of novel psychoactive substances | Nature Machine Intelligence
Protein sequence design with deep generative models - ScienceDirect
arXiv:1511.01844v3 [stat.ML] 24 Apr 2016
Future Internet | Free Full-Text | Evaluation of Deep Convolutional Generative Adversarial Networks for Data Augmentation of Chest X-ray Images