Shujian Yu
Shujian Yu,
Sigurd Eivindson Løkse,
Robert Jenssen,
Jose Principe
:
Cauchy-Schwarz Divergence Information Bottleneck for Regression
International Conference on Learning Representations 2024 FULLTEKST
Shuo Ye,
Shujian Yu,
Yu Wang,
Xinge You
:
R2-trans: Fine-grained visual categorization with redundancy reduction
Image and Vision Computing 2024 DOI
Changkyu Choi,
Shujian Yu,
Michael Christian Kampffmeyer,
Arnt-Børre Salberg,
Nils Olav Handegard,
Robert Jenssen
:
DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing 2024 DOI
Kaizhong Zheng,
Shujian Yu,
Liangjun Chen,
Lujuan Dang,
Badong Chen
:
BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping
Feiya Lv,
Shujian Yu,
Huawei Ye,
Jinsong Zhao,
Chenglin Wen
:
Incipient fault detection and isolation with Cauchy–Schwarz divergence: A probabilistic approach
Kaizhong Zheng,
Shujian Yu,
Badong Chen
:
CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis
Neural Networks 2024 DOI
Qi Zhang,
Mingfei Lu,
Shujian Yu,
Jingmin Xin,
Badong Chen
:
Discovering common information in multi-view data
Information Fusion 2024 DOI
Kaizhong Zheng,
Shujian Yu,
Baojuan Li,
Robert Jenssen,
Badong Chen
:
BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information Bottleneck
IEEE Transactions on Neural Networks and Learning Systems 2024 DOI
Kristoffer Wickstrøm,
Sigurd Eivindson Løkse,
Michael Kampffmeyer,
Shujian Yu,
José C. Príncipe,
Robert Jenssen
:
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy
Yuxin Dong,
Tieliang Gong,
Shujian Yu,
Chen Li
:
Optimal Randomized Approximations for Matrix-Based Rényi's Entropy
IEEE Transactions on Information Theory 2023 DOI
Tieliang Gong,
Yuxin Dong,
Shujian Yu,
Bo Dong
:
Computationally Efficient Approximations for Matrix-Based Rényi's Entropy
IEEE Transactions on Signal Processing 2023 DOI
Ane Blazquez-Garcia,
Kristoffer Knutsen Wickstrøm,
Shujian Yu,
Karl Øyvind Mikalsen,
Ahcene Boubekki,
Angel Conde
et al.:
Selective Imputation for Multivariate Time Series Datasets with Missing Values
Shuo Ye,
Shujian Yu,
Wenjin Hou,
Yu Wang,
Xinge You
:
Coping with change: Learning invariant and minimum sufficient representations for fine-grained visual categorization
Computer Vision and Image Understanding 2023 DOI
Wanqi Zhou,
Shujian Yu,
Badong Chen
:
Causality detection with matrix-based transfer entropy
Information Sciences 2022 DOI
Qiang Li,
Greg Ver Steeg,
Shujian Yu,
Jesus Malo
:
Functional Connectome of the Human Brain with Total Correlation
Shujian Yu,
Francesco Alesiani,
Wenzhe Yin,
Robert Jenssen,
Jose C. Principe
:
Principle of Relevant Information for Graph Sparsification
Francesco Alesiani,
Shujian Yu,
Xi Yu
:
Gated information bottleneck for generalization in sequential environments
Knowledge and Information Systems 2022 DOI
Robert Jenssen,
Shujian Yu
:
Discrepancies to incorporate
knowledge
2024
Changkyu Choi,
Shujian Yu,
Michael Kampffmeyer,
Arnt-Børre Salberg,
Nils Olav Handegard,
Suaiba Amina Salahuddin
et al.:
Explaining Marine Acoustic Target Classification in Multi-channel Echosounder Data using Self-attention Mask, Information-Bottleneck, and Mask Prior
2022
Daniel Johansen Trosten,
Kristoffer Wickstrøm,
Shujian Yu,
Sigurd Eivindson Løkse,
Robert Jenssen,
Michael Kampffmeyer
:
Deep Clustering with the Cauchy-Schwarz Divergence
2022
Shujian Yu
:
Information-Theoretic Apprchs for Interpretable Brain Network-based Psychiatric Diagnosis
2022
The 50 latest publications is shown on this page. See all publications in Cristin here →