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Papers
Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning
ICLR 2025
Towards Universal Debiasing for Language Models-based Tabular Data Generation
EMNLP 2025
Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion
AAAI 2025
Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent
ACL 2025
WavShape: Information-Theoretic Speech Representation Learning for Fair and Privacy-Aware Audio Processing
Interspeech 2025
What to align in multimodal contrastive learning?
ICLR 2025
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
NeurIPS 2024
A Mutual Information Perspective on Federated Contrastive Learning
ICLR 2024
An Independence-promoting Loss for Music Generation with Language Models
ICML 2024
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation
ACL 2024
An Information Theoretic Approach to Interaction-Grounded Learning
ICML 2024
Approximating mutual information of high-dimensional variables using learned representations
NeurIPS 2024
A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks
AAAI 2024
A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis
NeurIPS 2024
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
NeurIPS 2024
Bottleneck-Minimal Indexing for Generative Document Retrieval
ICML 2024
Cauchy-Schwarz Divergence Information Bottleneck for Regression
ICLR 2024
Cognitive Information Bottleneck: Extracting Minimal Sufficient Cognitive Language Processing Signals
COLING 2024
Context versus Prior Knowledge in Language Models
ACL 2024
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities
CVPR 2024
COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation
ACL 2024
CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning
ICLR 2024
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
ICML 2024
Deep Orthogonal Hypersphere Compression for Anomaly Detection
ICLR 2024
Differentiable Information Bottleneck for Deterministic Multi-view Clustering
CVPR 2024