Saved in:
| Main Authors: | Ma, Zhaozhao, Yu, Shujian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.22102 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cauchy-Schwarz Divergence Information Bottleneck for Regression
by: Yu, Shujian, et al.
Published: (2024)
by: Yu, Shujian, 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)
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
by: Mancisidor, Rogelio A, et al.
Published: (2025)
by: Mancisidor, Rogelio A, et al.
Published: (2025)
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)
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)
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)
Multimodal Functional Maximum Correlation for Emotion Recognition
by: Zheng, Deyang, et al.
Published: (2025)
by: Zheng, Deyang, et al.
Published: (2025)
Explainable Reinforcement Learning via Temporal Policy Decomposition
by: Ruggeri, Franco, et al.
Published: (2025)
by: Ruggeri, Franco, et al.
Published: (2025)
Discovering Common Information in Multi-view Data
by: Zhang, Qi, et al.
Published: (2024)
by: Zhang, Qi, et al.
Published: (2024)
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)
Post-processing for Fair Regression via Explainable SVD
by: Zuo, Zhiqun, et al.
Published: (2025)
by: Zuo, Zhiqun, et al.
Published: (2025)
Towards Uniformity and Alignment for Multimodal Representation Learning
by: Yin, Wenzhe, et al.
Published: (2026)
by: Yin, Wenzhe, et al.
Published: (2026)
Deep Deterministic Nonlinear ICA via Total Correlation Minimization with Matrix-Based Entropy Functional
by: Li, Qiang, et al.
Published: (2025)
by: Li, Qiang, et al.
Published: (2025)
ELEMENT: Episodic and Lifelong Exploration via Maximum Entropy
by: Li, Hongming, et al.
Published: (2024)
by: Li, Hongming, 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)
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)
SPINEX_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration
by: Naser, MZ, et al.
Published: (2024)
by: Naser, MZ, et al.
Published: (2024)
Deep Dynamic Probabilistic Canonical Correlation Analysis
by: Tang, Shiqin, et al.
Published: (2025)
by: Tang, Shiqin, et al.
Published: (2025)
DPLM-2: A Multimodal Diffusion Protein Language Model
by: Wang, Xinyou, et al.
Published: (2024)
by: Wang, Xinyou, et al.
Published: (2024)
Conformal Prediction for Multimodal Regression
by: Bose, Alexis, et al.
Published: (2024)
by: Bose, Alexis, et al.
Published: (2024)
Thinking with Deltas: Incentivizing Reinforcement Learning via Differential Visual Reasoning Policy
by: Gao, Shujian, et al.
Published: (2026)
by: Gao, Shujian, et al.
Published: (2026)
Multivariate Bayesian Last Layer for Regression with Uncertainty Quantification and Decomposition
by: Wang, Han, et al.
Published: (2024)
by: Wang, Han, et al.
Published: (2024)
A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms
by: Ning, Catherine, et al.
Published: (2026)
by: Ning, Catherine, et al.
Published: (2026)
TimeSliver : Symbolic-Linear Decomposition for Explainable Time Series Classification
by: Pandey, Akash, et al.
Published: (2026)
by: Pandey, Akash, et al.
Published: (2026)
Noise-Augmented $\ell_0$ Regularization of Tensor Regression with Tucker Decomposition
by: Yan, Tian, et al.
Published: (2023)
by: Yan, Tian, et al.
Published: (2023)
Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
by: Bénard, Clément
Published: (2025)
by: Bénard, Clément
Published: (2025)
Multimodal Explainability via Latent Shift applied to COVID-19 stratification
by: Guarrasi, Valerio, et al.
Published: (2022)
by: Guarrasi, Valerio, et al.
Published: (2022)
Jacobian Regularizer-based Neural Granger Causality
by: Zhou, Wanqi, et al.
Published: (2024)
by: Zhou, Wanqi, et al.
Published: (2024)
PIME: Prototype-based Interpretable MCTS-Enhanced Brain Network Analysis for Disorder Diagnosis
by: Zhang, Kunyu, et al.
Published: (2026)
by: Zhang, Kunyu, et al.
Published: (2026)
Robust Regression over Averaged Uncertainty
by: Bertsimas, Dimitris, et al.
Published: (2023)
by: Bertsimas, Dimitris, et al.
Published: (2023)
Rethinking Explainability in the Era of Multimodal AI
by: Agarwal, Chirag
Published: (2025)
by: Agarwal, Chirag
Published: (2025)
Interpretable Diffusion via Information Decomposition
by: Kong, Xianghao, et al.
Published: (2023)
by: Kong, Xianghao, et al.
Published: (2023)
SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry
by: Fu, Rong, et al.
Published: (2026)
by: Fu, Rong, et al.
Published: (2026)
DLM-One: Diffusion Language Models for One-Step Sequence Generation
by: Chen, Tianqi, et al.
Published: (2025)
by: Chen, Tianqi, et al.
Published: (2025)
Auditing Language Model Unlearning via Information Decomposition
by: Goel, Anmol, et al.
Published: (2026)
by: Goel, Anmol, et al.
Published: (2026)
Beyond Additivity: Sparse Isotonic Shapley Regression toward Nonlinear Explainability
by: She, Jialai
Published: (2025)
by: She, Jialai
Published: (2025)
Explainable Reinforcement Learning via a Causal World Model
by: Yu, Zhongwei, et al.
Published: (2023)
by: Yu, Zhongwei, et al.
Published: (2023)
Optimized scheduling of electricity-heat cooperative system considering wind energy consumption and peak shaving and valley filling
by: Ye, Jin, et al.
Published: (2025)
by: Ye, Jin, et al.
Published: (2025)
Skill-CMIB: Multimodal Agent Skill for Consistent Action via Conditional Multimodal Information Bottleneck
by: Huang, Zihan, et al.
Published: (2026)
by: Huang, Zihan, et al.
Published: (2026)
Unified Multimodal Vessel Trajectory Prediction with Explainable Navigation Intention
by: Zhang, Rui, et al.
Published: (2025)
by: Zhang, Rui, et al.
Published: (2025)
Similar Items
-
Cauchy-Schwarz Divergence Information Bottleneck for Regression
by: Yu, Shujian, et al.
Published: (2024) -
InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis
by: Tang, Shiqin, et al.
Published: (2025) -
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
by: Mancisidor, Rogelio A, et al.
Published: (2025) -
MvHo-IB: Multi-View Higher-Order Information Bottleneck for Brain Disorder Diagnosis
by: Zhang, Kunyu, et al.
Published: (2025) -
Modeling Higher-Order Brain Interactions via a Multi-View Information Bottleneck Framework for fMRI-based Psychiatric Diagnosis
by: Zhang, Kunyu, et al.
Published: (2026)