Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learningby…
Controllable Game Level Generation: Assessing the Effect of Negative Examples in GAN Modelsby Mahsa Bazzaz,…
Scaling-based Data Augmentation for Generative Models and its Theoretical Extensionby Yoshitaka Koike, Takumi Nakagawa, Hiroki…
Robust Estimation for Kernel Exponential Families with Smoothed Total Variation Distancesby Takafumi Kanamori, Kodai Yokoyama,…
Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradientby Yintai Ma,…
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networksby Zohreh Aghababaeyan, Manel…
Dual Space Training for GANs: A Pathway to Efficient and Creative Generative Modelsby Beka ModrekiladzeFirst…
Improving Insurance Catastrophic Data with Resampling and GAN Methodsby Norbert Dzadz, Maciej RomaniukFirst submitted to…
CFTS-GAN: Continual Few-Shot Teacher Student for Generative Adversarial Networksby Munsif Ali, Leonardo Rossi, Massimo BertozziFirst…
Diffusing States and Matching Scores: A New Framework for Imitation Learningby Runzhe Wu, Yiding Chen,…