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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
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
Shape-Based Generative Modeling for de Novo Drug Design | Journal of Chemical Information and Modeling

On the evaluation of generative models in music | SpringerLink
On the evaluation of generative models in music | SpringerLink

A note on the evaluation of generative models | Papers With Code
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
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
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
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
Generative Models for De Novo Drug Design | Journal of Medicinal Chemistry

Protein design and variant prediction using autoregressive generative models  | Nature Communications
Protein design and variant prediction using autoregressive generative models | Nature Communications

On the evaluation of generative models in music | SpringerLink
On the evaluation of generative models in music | SpringerLink

Generative Adversarial Networks with Python
Generative Adversarial Networks with Python

Deep Generative Models | by Prakash Pandey | Towards Data Science
Deep Generative Models | by Prakash Pandey | Towards Data Science

Conditional Molecular Design with Deep Generative Models | Journal of  Chemical Information and Modeling
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
Frontiers | Deep Generative Models for Materials Discovery and Machine Learning-Accelerated Innovation

On the evaluation of generative models in music | Music Informatics Group
On the evaluation of generative models in music | Music Informatics Group

PDF] A note on the evaluation of generative models | Semantic Scholar
PDF] A note on the evaluation of generative models | Semantic Scholar

On the evaluation of generative models in music | SpringerLink
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
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
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
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
A deep generative model enables automated structure elucidation of novel psychoactive substances | Nature Machine Intelligence

Protein sequence design with deep generative models - ScienceDirect
Protein sequence design with deep generative models - ScienceDirect

arXiv:1511.01844v3 [stat.ML] 24 Apr 2016
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
Future Internet | Free Full-Text | Evaluation of Deep Convolutional Generative Adversarial Networks for Data Augmentation of Chest X-ray Images