3 papers
cs.LG2026
GRAIL: Post-hoc Compensation by Linear Reconstruction for Compressed Networks
Wenwu Tang, Dong Wang, Lothar Thiele +1
Structured deep model compression methods are hardware-friendly and substantially reduce memory and inference costs. However, under aggressive compression, the resulting accuracy d…
math.NA2026
A weighted quantile filter based framework for interface optimal design problems
Sihao Cheng, Ziming Shao, Dong Wang
We present a robust and efficient numerical framework based on a median filter scheme for solving a broad class of interface optimal design problems, from image segmentation to top…
cond-mat.soft2025
Deep learning-based computational method for soft matter dynamics: Deep Onsager-Machlup method
Zhihao Li, Boyi Zou, Haiqin Wang +3
A deep learning-based computational method is proposed for soft matter dynamics -- the deep Onsager-Machlup method (DOMM). It combines the brute forces of deep neural networks (DNN…