Author

Charles Walter

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#machine learning Preprint Sep 2026

EmbeddGAN: A Novel GAN Framework Using an Embedding Network and Gini Distance Correlation

Generative Adversarial Networks (GANs) have demonstrated strong performance in generating high-quality synthetic data. However, they are limited by no formal guarantees regarding convergence and the effectiveness of the learning process. In practice, this leads to training instability, mode collapse, and sensitivity to...

MaTais Caldwell, Yi-Xin Chen, Xin Dang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Restrict, Don't Retrain: Inference-Time VLM Guidance for Zero-Shot Aerial Segmentation

A single consumer-grade GPU running a vision-language model (VLM) is used to supply missing guidance on pixel-level segmentation, improving segmentation while producing structured, auditable evidence that drives the result and can be inspected on its own.

Teresa DiMeola, Charles Walter, Hong Xiao · 0 citations