Discovering Common Information in Multi-view Data
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Qi, Lu, Mingfei, Yu, Shujian, Xin, Jingmin, Chen, Badong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications
by: Lu, Mingfei, et al.
Published: (2024)
by: Lu, Mingfei, et al.
Published: (2024)
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis
by: Zheng, Kaizhong, et al.
Published: (2023)
by: Zheng, Kaizhong, et al.
Published: (2023)
Towards Comprehensive Information-theoretic Multi-view Learning
by: Shi, Long, et al.
Published: (2025)
by: Shi, Long, et al.
Published: (2025)
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck
by: Zheng, Kaizhong, et al.
Published: (2022)
by: Zheng, Kaizhong, et al.
Published: (2022)
Enhanced Latent Multi-view Subspace Clustering
by: Shi, Long, et al.
Published: (2023)
by: Shi, Long, et al.
Published: (2023)
Towards the Generalization of Multi-view Learning: An Information-theoretical Analysis
by: Wen, Wen, et al.
Published: (2025)
by: Wen, Wen, et al.
Published: (2025)
Tensor-based Graph Learning with Consistency and Specificity for Multi-view Clustering
by: Shi, Long, et al.
Published: (2024)
by: Shi, Long, et al.
Published: (2024)
Jacobian Regularizer-based Neural Granger Causality
by: Zhou, Wanqi, et al.
Published: (2024)
by: Zhou, Wanqi, et al.
Published: (2024)
Generalized Trusted Multi-view Classification Framework with Hierarchical Opinion Aggregation
by: Shi, Long, et al.
Published: (2024)
by: Shi, Long, et al.
Published: (2024)
MvHo-IB: Multi-View Higher-Order Information Bottleneck for Brain Disorder Diagnosis
by: Zhang, Kunyu, et al.
Published: (2025)
by: Zhang, Kunyu, et al.
Published: (2025)
RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural Enhancement and Aggregation
by: Chen, Junyu, et al.
Published: (2024)
by: Chen, Junyu, et al.
Published: (2024)
Explainable Multimodal Regression via Information Decomposition
by: Ma, Zhaozhao, et al.
Published: (2025)
by: Ma, Zhaozhao, et al.
Published: (2025)
D-CDLF: Decomposition of Common and Distinctive Latent Factors for Multi-view High-dimensional Data
by: Shu, Hai
Published: (2024)
by: Shu, Hai
Published: (2024)
Modeling Higher-Order Brain Interactions via a Multi-View Information Bottleneck Framework for fMRI-based Psychiatric Diagnosis
by: Zhang, Kunyu, et al.
Published: (2026)
by: Zhang, Kunyu, et al.
Published: (2026)
LeMON: Learning to Learn Multi-Operator Networks
by: Sun, Jingmin, et al.
Published: (2024)
by: Sun, Jingmin, et al.
Published: (2024)
InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis
by: Tang, Shiqin, et al.
Published: (2025)
by: Tang, Shiqin, et al.
Published: (2025)
Nonlinear subspace clustering by functional link neural networks
by: Shi, Long, et al.
Published: (2024)
by: Shi, Long, et al.
Published: (2024)
Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning
by: Shen, Jiangrong, et al.
Published: (2025)
by: Shen, Jiangrong, et al.
Published: (2025)
Fairness-Aware Multi-view Evidential Learning with Adaptive Prior
by: Chen, Haishun, et al.
Published: (2025)
by: Chen, Haishun, et al.
Published: (2025)
Active-Passive Federated Learning for Vertically Partitioned Multi-view Data
by: Liu, Jiyuan, et al.
Published: (2024)
by: Liu, Jiyuan, et al.
Published: (2024)
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
by: Chen, Tianqi, et al.
Published: (2024)
by: Chen, Tianqi, et al.
Published: (2024)
Restricted Minimum Error Entropy Criterion for Robust Classification
by: Li, Yuanhao, et al.
Published: (2019)
by: Li, Yuanhao, et al.
Published: (2019)
Continual Learning for fMRI-Based Brain Disorder Diagnosis via Functional Connectivity Matrices Generative Replay
by: Chen, Qianyu, et al.
Published: (2026)
by: Chen, Qianyu, et al.
Published: (2026)
Network Anomaly Traffic Detection via Multi-view Feature Fusion
by: Hao, Song, et al.
Published: (2024)
by: Hao, Song, et al.
Published: (2024)
Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation
by: Bai, Shuanghao, et al.
Published: (2025)
by: Bai, Shuanghao, et al.
Published: (2025)
A Deep Learning Framework for Multi-Operator Learning: Architectures and Approximation Theory
by: Weihs, Adrien, et al.
Published: (2025)
by: Weihs, Adrien, et al.
Published: (2025)
Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and Extrapolation
by: Sun, Jingmin, et al.
Published: (2024)
by: Sun, Jingmin, et al.
Published: (2024)
Discovering Latent Causal Graphs from Spatiotemporal Data
by: Wang, Kun, et al.
Published: (2024)
by: Wang, Kun, et al.
Published: (2024)
DLM-One: Diffusion Language Models for One-Step Sequence Generation
by: Chen, Tianqi, et al.
Published: (2025)
by: Chen, Tianqi, et al.
Published: (2025)
PI-MFM: Physics-informed multimodal foundation model for solving partial differential equations
by: Zhu, Min, et al.
Published: (2025)
by: Zhu, Min, et al.
Published: (2025)
Cauchy-Schwarz Divergence Information Bottleneck for Regression
by: Yu, Shujian, et al.
Published: (2024)
by: Yu, Shujian, et al.
Published: (2024)
Discovering Mathematical Equations with Diffusion Language Model
by: Han, Xiaoxu, et al.
Published: (2025)
by: Han, Xiaoxu, et al.
Published: (2025)
Robust Multi-agent Communication via Multi-view Message Certification
by: Yuan, Lei, et al.
Published: (2023)
by: Yuan, Lei, et al.
Published: (2023)
Randomized Advantage Transformation (RAT): Computing Natural Policy Gradients via Direct Backpropagation
by: Sun, Mingfei
Published: (2026)
by: Sun, Mingfei
Published: (2026)
Discovering Mixtures of Structural Causal Models from Time Series Data
by: Varambally, Sumanth, et al.
Published: (2023)
by: Varambally, Sumanth, et al.
Published: (2023)
Nonlinear Sparse Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data
by: Wu, Rong, et al.
Published: (2025)
by: Wu, Rong, et al.
Published: (2025)
Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering
by: Chao, Guoqing, et al.
Published: (2025)
by: Chao, Guoqing, et al.
Published: (2025)
PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering
by: Xue, Xuqian, et al.
Published: (2025)
by: Xue, Xuqian, et al.
Published: (2025)
Learning Fair Graph Representations with Multi-view Information Bottleneck
by: Liu, Chuxun, et al.
Published: (2025)
by: Liu, Chuxun, et al.
Published: (2025)
OVA-IB: One vs All Information Bottleneck for Multi-Modal Alignment
by: Li, Tianchao, et al.
Published: (2026)
by: Li, Tianchao, et al.
Published: (2026)
Similar Items
-
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications
by: Lu, Mingfei, et al.
Published: (2024) -
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis
by: Zheng, Kaizhong, et al.
Published: (2023) -
Towards Comprehensive Information-theoretic Multi-view Learning
by: Shi, Long, et al.
Published: (2025) -
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck
by: Zheng, Kaizhong, et al.
Published: (2022) -
Enhanced Latent Multi-view Subspace Clustering
by: Shi, Long, et al.
Published: (2023)