Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Conditional Generative Moment-Matching Networks
Conditional Generative Adversarial Nets
Generative Adversarial Networks
On GANs and GMMs
Learning Deep Generative Models With Doubly Stochastic Gradient MCMC
High Quality Bidirectional Generative Adversarial Networks.
A Theory of Generative ConvNet
Learning Deep Generative Models with Doubly Stochastic MCMC
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
NONPARAMETRIC APPROACHES FOR TRAINING DEEP GENERATIVE NETWORKS
Better Generative Models for Sequential Data Problems: Bidirectional Recurrent Mixture Density Networks
Training generative neural networks via Maximum Mean Discrepancy optimization
Twin Networks: Matching the Future for Sequence Generation
Generative Modeling of Convolutional Neural Networks
Towards Principled Methods for Training Generative Adversarial Networks
Semi-supervised Conditional GANs
Stacked Generative Adversarial Networks
On Unifying Deep Generative Models
How Generative Adversarial Networks and Their Variants Work: An Overview
Least Squares Generative Adversarial Networks
Learning Generative ConvNet with Continuous Latent Factors by Alternating Back-Propagation
Interpretable Convolutional Neural Networks via Feedforward Design
Direct model predictive control of five-level dual flying capacitor active neutral point clamped converters with modified sphere decoding
Learning to Represent Words in Context with Multilingual Supervision
Learning Hierarchical Features for Scene Labeling
External characteristics of the boost-converter with Cockroft-Walton voltage multiplier