no code implementations • 29 Jan 2024 • Lu Chen, Siyu Lou, Benhao Huang, Quanshi Zhang
Faithfully summarizing the knowledge encoded by a deep neural network (DNN) into a few symbolic primitive patterns without losing much information represents a core challenge in explainable AI.
1 code implementation • 25 Jan 2024 • Siyu Lou, Chengchun Liu, Yuntian Chen, Fanyang Mo
Thin-layer chromatography (TLC) is a crucial technique in molecular polarity analysis.
no code implementations • 14 Sep 2023 • Mengge Du, Longfeng Nie, Siyu Lou, Yuntian Chenc, Dongxiao Zhang
The embedding phase integrates the initially identified PDE from the discovering process as a physical constraint into the predictive model for robust training.
1 code implementation • 4 Apr 2023 • Lu Chen, Siyu Lou, Keyan Zhang, Jin Huang, Quanshi Zhang
The HarsanyiNet is designed on the theoretical foundation that the Shapley value can be reformulated as the redistribution of Harsanyi interactions encoded by the network.
1 code implementation • 25 Feb 2023 • Qihan Ren, Huiqi Deng, Yunuo Chen, Siyu Lou, Quanshi Zhang
In this paper, we focus on mean-field variational Bayesian Neural Networks (BNNs) and explore the representation capacity of such BNNs by investigating which types of concepts are less likely to be encoded by the BNN.
no code implementations • 25 Mar 2022 • Siyu Lou, Xuenan Xu, Mengyue Wu, Kai Yu
Using pre-trained audio features and a descriptor-based aggregation method, we build our contextual audio-text retrieval system.