6 papers
One-Step Generative Modeling via Unbalanced Optimal Transport
Yirong Shen, Mengfei Xia, Junpeng Jing +2
Drifting models enable one-step generation by amortizing distribution transport into training, but this efficiency places greater demands on the transport field estimated at each u…
Latent-CURE for Breast Cancer Diagnosis
Weiyi Zhao, Xiaoyu Tan, Lu Gan +2
Multimodal Large Models have significantly advanced automated breast ultrasound diagnosis. However, most existing frameworks utilize opaque, end-to-end paradigms prioritizing globa…
SRUG: A Fusion-Driven Generator Network for Medical Image Translation
Xihe Qiu, Yang Dai, Xiaoyu Tan +4
MRI sequence synthesis aims to recover missing image contrast while preserving patient-specific anatomy. The choice of generation mechanism affects both optimization and the way so…
Information Theoretic Learning for Diffusion Models with Warm Start
Yirong Shen, Lu Gan, Cong Ling
Generative models that maximize model likelihood have gained traction in many practical settings. Among them, perturbation based approaches underpin many strong likelihood estimati…
Generalized Score Matching: Bridging -Divergence and Statistical Estimation Under Correlated Noise
Yirong Shen, Lu Gan, Cong Ling
Relative Fisher information, also known as score matching, is a recently introduced learning method for parameter estimation. Fundamental relations between relative entropy and sco…
Semi-Supervised Learning via Swapped Prediction for Communication Signal Recognition
Weidong Wang, Hongshu Liao, Lu Gan
Deep neural networks have been widely used in communication signal recognition and achieved remarkable performance, but this superiority typically depends on using massive examples…