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Found 4 papers, 3 papers with code
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models
Modern generative models achieve excellent quality in a variety of tasks including image or text generation and chemical molecule modeling.
Flow Plugin Network for conditional generation
Generative models have gained many researchers' attention in the last years resulting in models such as StyleGAN for human face generation or PointFlow for the 3D point cloud generation.
TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression
The tree-based ensembles are known for their outstanding performance in classification and regression problems characterized by feature vectors represented by mixed-type variables from various ranges and domains.
Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows
It may be solved by Personalized Natural Language Processing (PNLP), where the model exploits additional information about the reader to make more accurate predictions.
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