Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series
Fuente:
arXiv
Guardado en:
| Autores principales: | Zerkouk, Meriem, Mihoubi, Miloud, Chikhaoui, Belkacem |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Contextual Attention-Based Multimodal Fusion of LLM and CNN for Sentiment Analysis
por: Zerkouk, Meriem, et al.
Publicado: (2025)
por: Zerkouk, Meriem, et al.
Publicado: (2025)
SentiDrop: A Multi Modal Machine Learning model for Predicting Dropout in Distance Learning
por: Zerkouk, Meriem, et al.
Publicado: (2025)
por: Zerkouk, Meriem, et al.
Publicado: (2025)
A Comprehensive Review of AI-based Intelligent Tutoring Systems: Applications and Challenges
por: Zerkouk, Meriem, et al.
Publicado: (2025)
por: Zerkouk, Meriem, et al.
Publicado: (2025)
Beyond classical and contemporary models: a transformative AI framework for student dropout prediction in distance learning using RAG, Prompt engineering, and Cross-modal fusion
por: Mihoubi, Miloud, et al.
Publicado: (2025)
por: Mihoubi, Miloud, et al.
Publicado: (2025)
Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery
por: Susanti, Yuni, et al.
Publicado: (2025)
por: Susanti, Yuni, et al.
Publicado: (2025)
Causal Predictive Optimization and Generation for Business AI
por: Zhao, Liyang, et al.
Publicado: (2025)
por: Zhao, Liyang, et al.
Publicado: (2025)
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting
por: Zhou, Xin, et al.
Publicado: (2024)
por: Zhou, Xin, et al.
Publicado: (2024)
Sparse Autoencoders for Sequential Recommendation Models: Interpretation and Flexible Control
por: Klenitskiy, Anton, et al.
Publicado: (2025)
por: Klenitskiy, Anton, et al.
Publicado: (2025)
CSQL: Mapping Documents into Causal Databases
por: Mahadevan, Sridhar
Publicado: (2026)
por: Mahadevan, Sridhar
Publicado: (2026)
Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling
por: Xing, Jinming, et al.
Publicado: (2024)
por: Xing, Jinming, et al.
Publicado: (2024)
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events
por: Yang, Xiaojie, et al.
Publicado: (2024)
por: Yang, Xiaojie, et al.
Publicado: (2024)
Causal Micro-Narratives
por: Heddaya, Mourad, et al.
Publicado: (2024)
por: Heddaya, Mourad, et al.
Publicado: (2024)
Embedding-Aware Feature Discovery: Bridging Latent Representations and Interpretable Features in Event Sequences
por: Sakhno, Artem, et al.
Publicado: (2026)
por: Sakhno, Artem, et al.
Publicado: (2026)
Causal Structure Representation Learning of Confounders in Latent Space for Recommendation
por: Xu, Hangtong, et al.
Publicado: (2023)
por: Xu, Hangtong, et al.
Publicado: (2023)
Temporal Information Retrieval via Time-Specifier Model Merging
por: Han, SeungYoon, et al.
Publicado: (2025)
por: Han, SeungYoon, et al.
Publicado: (2025)
Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection
por: Cho, Dongchan, et al.
Publicado: (2025)
por: Cho, Dongchan, et al.
Publicado: (2025)
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
por: Zhao, Chu, et al.
Publicado: (2024)
por: Zhao, Chu, et al.
Publicado: (2024)
CausalCite: A Causal Formulation of Paper Citations
por: Kumar, Ishan, et al.
Publicado: (2023)
por: Kumar, Ishan, et al.
Publicado: (2023)
CausalRec: A CausalBoost Attention Model for Sequential Recommendation
por: Hou, Yunbo, et al.
Publicado: (2025)
por: Hou, Yunbo, et al.
Publicado: (2025)
CAMEF: Causal-Augmented Multi-Modality Event-Driven Financial Forecasting by Integrating Time Series Patterns and Salient Macroeconomic Announcements
por: Zhang, Yang, et al.
Publicado: (2025)
por: Zhang, Yang, et al.
Publicado: (2025)
An Efficient Recommendation Model Based on Knowledge Graph Attention-Assisted Network (KGATAX)
por: Wu, Zhizhong
Publicado: (2024)
por: Wu, Zhizhong
Publicado: (2024)
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry
por: Rewicki, Ferdinand, et al.
Publicado: (2024)
por: Rewicki, Ferdinand, et al.
Publicado: (2024)
Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning
por: Dong, Hao, et al.
Publicado: (2025)
por: Dong, Hao, et al.
Publicado: (2025)
Uncovering Causal Drivers of Energy Efficiency for Industrial Process in Foundry via Time-Series Causal Inference
por: Ma, Zhipeng, et al.
Publicado: (2025)
por: Ma, Zhipeng, et al.
Publicado: (2025)
Causal Discovery in Recommender Systems: Example and Discussion
por: Cavenaghi, Emanuele, et al.
Publicado: (2024)
por: Cavenaghi, Emanuele, et al.
Publicado: (2024)
BGM-HAN: A Hierarchical Attention Network for Accurate and Fair Decision Assessment on Semi-Structured Profiles
por: Liu, Junhua, et al.
Publicado: (2025)
por: Liu, Junhua, et al.
Publicado: (2025)
Learning Retrieval Models with Sparse Autoencoders
por: Formal, Thibault, et al.
Publicado: (2026)
por: Formal, Thibault, et al.
Publicado: (2026)
AttentionDep: Domain-Aware Attention for Explainable Depression Severity Assessment
por: Ibrahimov, Yusif, et al.
Publicado: (2025)
por: Ibrahimov, Yusif, et al.
Publicado: (2025)
DeepEvidence: Empowering Biomedical Discovery with Deep Knowledge Graph Research
por: Wang, Zifeng, et al.
Publicado: (2025)
por: Wang, Zifeng, et al.
Publicado: (2025)
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint
por: Chopra, Harshita, et al.
Publicado: (2024)
por: Chopra, Harshita, et al.
Publicado: (2024)
TIGER: Temporally Improved Graph Entity Linker
por: Zhang, Pengyu, et al.
Publicado: (2024)
por: Zhang, Pengyu, et al.
Publicado: (2024)
Multi-Item-Query Attention for Stable Sequential Recommendation
por: Xu, Mingshi, et al.
Publicado: (2025)
por: Xu, Mingshi, et al.
Publicado: (2025)
CSRv2: Unlocking Ultra-Sparse Embeddings
por: Guo, Lixuan, et al.
Publicado: (2026)
por: Guo, Lixuan, et al.
Publicado: (2026)
SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval
por: Li, Zihao, et al.
Publicado: (2024)
por: Li, Zihao, et al.
Publicado: (2024)
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
por: Ji, Luo, et al.
Publicado: (2024)
por: Ji, Luo, et al.
Publicado: (2024)
When LLM Reward Design Fails: Diagnostic-Driven Refinement for Sparse Structured RL
por: Wang, Youting, et al.
Publicado: (2026)
por: Wang, Youting, et al.
Publicado: (2026)
No More K-means: Single-Stage Sparse Coding for Efficient Multi-Vector Retrieval
por: Guo, Lixuan, et al.
Publicado: (2026)
por: Guo, Lixuan, et al.
Publicado: (2026)
CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems
por: Khalafaoui, Yasser, et al.
Publicado: (2024)
por: Khalafaoui, Yasser, et al.
Publicado: (2024)
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
por: Shin, Yehjin, et al.
Publicado: (2023)
por: Shin, Yehjin, et al.
Publicado: (2023)
Position-Aware Sequential Attention for Accurate Next Item Recommendations
por: Nabiev, Timur, et al.
Publicado: (2026)
por: Nabiev, Timur, et al.
Publicado: (2026)
Ejemplares similares
-
Contextual Attention-Based Multimodal Fusion of LLM and CNN for Sentiment Analysis
por: Zerkouk, Meriem, et al.
Publicado: (2025) -
SentiDrop: A Multi Modal Machine Learning model for Predicting Dropout in Distance Learning
por: Zerkouk, Meriem, et al.
Publicado: (2025) -
A Comprehensive Review of AI-based Intelligent Tutoring Systems: Applications and Challenges
por: Zerkouk, Meriem, et al.
Publicado: (2025) -
Beyond classical and contemporary models: a transformative AI framework for student dropout prediction in distance learning using RAG, Prompt engineering, and Cross-modal fusion
por: Mihoubi, Miloud, et al.
Publicado: (2025) -
Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery
por: Susanti, Yuni, et al.
Publicado: (2025)