Saved in:
| Main Authors: | Zou, Xiandong, Li, Jia, Yuan, Xiaotong, Zhou, Pan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.25262 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Note on Martingale Theory and Applications
by: Zou, Xiandong
Published: (2026)
by: Zou, Xiandong
Published: (2026)
Learning Fair Graph Representations with Multi-view Information Bottleneck
by: Liu, Chuxun, et al.
Published: (2025)
by: Liu, Chuxun, et al.
Published: (2025)
Dynamic Graph Information Bottleneck
by: Yuan, Haonan, et al.
Published: (2024)
by: Yuan, Haonan, et al.
Published: (2024)
Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
by: Xiong, Jiafeng, et al.
Published: (2025)
by: Xiong, Jiafeng, et al.
Published: (2025)
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck
by: Shou, Yuntao, et al.
Published: (2024)
by: Shou, Yuntao, et al.
Published: (2024)
Discovering the Representation Bottleneck of Graph Neural Networks
by: Wu, Fang, et al.
Published: (2022)
by: Wu, Fang, et al.
Published: (2022)
Will More Expressive Graph Neural Networks do Better on Generative Tasks?
by: Zou, Xiandong, et al.
Published: (2023)
by: Zou, Xiandong, et al.
Published: (2023)
A Distance Metric Learning Model Based On Variational Information Bottleneck
by: Zhang, YaoDan, et al.
Published: (2024)
by: Zhang, YaoDan, et al.
Published: (2024)
Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning
by: Sun, Ao, et al.
Published: (2024)
by: Sun, Ao, et al.
Published: (2024)
Conda: Column-Normalized Adam for Training Large Language Models Faster
by: Wang, Junjie, et al.
Published: (2025)
by: Wang, Junjie, et al.
Published: (2025)
MemFly: On-the-Fly Memory Optimization via Information Bottleneck
by: Zhang, Zhenyuan, et al.
Published: (2026)
by: Zhang, Zhenyuan, et al.
Published: (2026)
Enhancing Adversarial Transferability via Information Bottleneck Constraints
by: Qi, Biqing, et al.
Published: (2024)
by: Qi, Biqing, et al.
Published: (2024)
TimeX++: Learning Time-Series Explanations with Information Bottleneck
by: Liu, Zichuan, et al.
Published: (2024)
by: Liu, Zichuan, et al.
Published: (2024)
nGPT: Normalized Transformer with Representation Learning on the Hypersphere
by: Loshchilov, Ilya, et al.
Published: (2024)
by: Loshchilov, Ilya, et al.
Published: (2024)
TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks
by: Feng, Ninghui, et al.
Published: (2024)
by: Feng, Ninghui, et al.
Published: (2024)
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck
by: Li, Shuangjie, et al.
Published: (2024)
by: Li, Shuangjie, et al.
Published: (2024)
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
by: Mao, Wenyu, et al.
Published: (2024)
by: Mao, Wenyu, et al.
Published: (2024)
Learning to Intervene on Concept Bottlenecks
by: Steinmann, David, et al.
Published: (2023)
by: Steinmann, David, et al.
Published: (2023)
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
by: Federici, Marco, et al.
Published: (2023)
by: Federici, Marco, et al.
Published: (2023)
Glocal Information Bottleneck for Time Series Imputation
by: Yang, Jie, et al.
Published: (2025)
by: Yang, Jie, et al.
Published: (2025)
Causally-Aware Information Bottleneck for Domain Adaptation
by: Javidian, Mohammad Ali
Published: (2026)
by: Javidian, Mohammad Ali
Published: (2026)
Interpretable Prototype-based Graph Information Bottleneck
by: Seo, Sangwoo, et al.
Published: (2023)
by: Seo, Sangwoo, et al.
Published: (2023)
Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning
by: Zhou, Yang, et al.
Published: (2025)
by: Zhou, Yang, et al.
Published: (2025)
IIB-LPO: Latent Policy Optimization via Iterative Information Bottleneck
by: Deng, Huilin, et al.
Published: (2026)
by: Deng, Huilin, et al.
Published: (2026)
Generative Distribution Prediction: A Unified Approach to Multimodal Learning
by: Tian, Xinyu, et al.
Published: (2025)
by: Tian, Xinyu, et al.
Published: (2025)
XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision
by: Myara, Alexandre, et al.
Published: (2026)
by: Myara, Alexandre, et al.
Published: (2026)
Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection
by: Chen, Yutong, et al.
Published: (2024)
by: Chen, Yutong, et al.
Published: (2024)
SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding
by: Zhou, Yangxuan, et al.
Published: (2025)
by: Zhou, Yangxuan, et al.
Published: (2025)
Incremental Residual Concept Bottleneck Models
by: Shang, Chenming, et al.
Published: (2024)
by: Shang, Chenming, et al.
Published: (2024)
Breaking the Context Bottleneck on Long Time Series Forecasting
by: Ma, Chao, et al.
Published: (2024)
by: Ma, Chao, et al.
Published: (2024)
A Human-Inspired Decoupled Architecture for Efficient Audio Representation Learning
by: Kawano, Harunori, et al.
Published: (2026)
by: Kawano, Harunori, et al.
Published: (2026)
AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer
by: Yuan, Jinhui, et al.
Published: (2024)
by: Yuan, Jinhui, et al.
Published: (2024)
RED: Effective Trajectory Representation Learning with Comprehensive Information
by: Zhou, Silin, et al.
Published: (2024)
by: Zhou, Silin, et al.
Published: (2024)
DDTime: Dataset Distillation with Spectral Alignment and Information Bottleneck for Time-Series Forecasting
by: Li, Yuqi, et al.
Published: (2025)
by: Li, Yuqi, et al.
Published: (2025)
Exploring Dynamic Properties of Backdoor Training Through Information Bottleneck
by: Liu, Xinyu, et al.
Published: (2025)
by: Liu, Xinyu, et al.
Published: (2025)
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases
by: Han, Ling, et al.
Published: (2024)
by: Han, Ling, et al.
Published: (2024)
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
by: Zhang, Xinyu, et al.
Published: (2024)
by: Zhang, Xinyu, et al.
Published: (2024)
Heterogeneous Information-Bottleneck Coordination Graphs for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2026)
by: Duan, Wei, et al.
Published: (2026)
Learning Concept Bottleneck Models from Mechanistic Explanations
by: De Santis, Antonio, et al.
Published: (2026)
by: De Santis, Antonio, et al.
Published: (2026)
Is Value Learning Really the Main Bottleneck in Offline RL?
by: Park, Seohong, et al.
Published: (2024)
by: Park, Seohong, et al.
Published: (2024)
Similar Items
-
Note on Martingale Theory and Applications
by: Zou, Xiandong
Published: (2026) -
Learning Fair Graph Representations with Multi-view Information Bottleneck
by: Liu, Chuxun, et al.
Published: (2025) -
Dynamic Graph Information Bottleneck
by: Yuan, Haonan, et al.
Published: (2024) -
Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
by: Xiong, Jiafeng, et al.
Published: (2025) -
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck
by: Shou, Yuntao, et al.
Published: (2024)