3 papers
math.OC2026
Using Laplace Transform To Optimize the Hallucination of Generation Models
Cheng Kang, Xinye Chen, Daniel Novak +1
To explore the feasibility of avoiding the confident error (or hallucination) of generation models (GMs), we formalise the system of GMs as a class of stochastic dynamical systems…
cs.CV2026
Adversarial Batch Representation Augmentation for Batch Correction in High-Content Cellular Screening
Lei Tong, Xujing Yao, Adam Corrigan +6
High-Content Screening routinely generates massive volumes of cell painting images for phenotypic profiling. However, technical variations across experimental executions inevitably…
cs.AI2023
Based on What We Can Control Artificial Neural Networks
Cheng Kang, Xujing Yao
How can the stability and efficiency of Artificial Neural Networks (ANNs) be ensured through a systematic analysis method? This paper seeks to address that query. While numerous fa…