Saved in:
| Main Authors: | Liu, Saixiong, Qian, Yuhua, Li, Jue, Cheng, Honghong, Li, Feijiang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.21792 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportion
by: Du, Liang, et al.
Published: (2024)
by: Du, Liang, et al.
Published: (2024)
Reducing Bias and Variance: Generative Semantic Guidance and Bi-Layer Ensemble for Image Clustering
by: Li, Feijiang, et al.
Published: (2026)
by: Li, Feijiang, et al.
Published: (2026)
Deep Embedding Clustering Driven by Sample Stability
by: Cheng, Zhanwen, et al.
Published: (2024)
by: Cheng, Zhanwen, et al.
Published: (2024)
Beyond Detection: A Comprehensive Benchmark and Study on Representation Learning for Fine-Grained Webshell Family Classification
by: Han, Feijiang
Published: (2025)
by: Han, Feijiang
Published: (2025)
Hybrid Local Causal Discovery
by: Ling, Zhaolong, et al.
Published: (2024)
by: Ling, Zhaolong, et al.
Published: (2024)
LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification
by: Gao, Hang, et al.
Published: (2025)
by: Gao, Hang, et al.
Published: (2025)
Shylock: Causal Discovery in Multivariate Time Series based on Hybrid Constraints
by: Li, Shuo, et al.
Published: (2025)
by: Li, Shuo, et al.
Published: (2025)
Event Causality Identification with Synthetic Control
by: Wang, Haoyu, et al.
Published: (2025)
by: Wang, Haoyu, et al.
Published: (2025)
A Survey of Event Causality Identification: Taxonomy, Challenges, Assessment, and Prospects
by: Cheng, Qing, et al.
Published: (2024)
by: Cheng, Qing, et al.
Published: (2024)
New Rules for Causal Identification with Background Knowledge
by: Wang, Tian-Zuo, et al.
Published: (2024)
by: Wang, Tian-Zuo, et al.
Published: (2024)
CausalReasoningBenchmark: A Real-World Benchmark for Disentangled Evaluation of Causal Identification and Estimation
by: Sawarni, Ayush, et al.
Published: (2026)
by: Sawarni, Ayush, et al.
Published: (2026)
Consistency of Neural Causal Partial Identification
by: Tan, Jiyuan, et al.
Published: (2024)
by: Tan, Jiyuan, et al.
Published: (2024)
From Local to Cluster: A Unified Framework for Causal Discovery with Latent Variables
by: Li, Zongyu
Published: (2026)
by: Li, Zongyu
Published: (2026)
Causal-Copilot: An Autonomous Causal Analysis Agent
by: Wang, Xinyue, et al.
Published: (2025)
by: Wang, Xinyue, et al.
Published: (2025)
Causal Identification in Time Series Models
by: Jahn, Erik, et al.
Published: (2025)
by: Jahn, Erik, et al.
Published: (2025)
Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning
by: Ling, Zhaolong, et al.
Published: (2021)
by: Ling, Zhaolong, et al.
Published: (2021)
CausalEval: Towards Better Causal Reasoning in Language Models
by: Yu, Longxuan, et al.
Published: (2024)
by: Yu, Longxuan, et al.
Published: (2024)
CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching
by: Wang, Yuzhe, et al.
Published: (2026)
by: Wang, Yuzhe, et al.
Published: (2026)
Causal Sensitivity Identification using Generative Learning
by: Bandyopadhyay, Soma, et al.
Published: (2025)
by: Bandyopadhyay, Soma, et al.
Published: (2025)
Optimal Experiments for Partial Causal Effect Identification
by: Maringgele, Tobias, et al.
Published: (2026)
by: Maringgele, Tobias, et al.
Published: (2026)
On the Complexity of Identification in Linear Structural Causal Models
by: Dörfler, Julian, et al.
Published: (2024)
by: Dörfler, Julian, et al.
Published: (2024)
Causal-Driven Feature Evaluation for Cross-Domain Image Classification
by: Cheng, Chen, et al.
Published: (2026)
by: Cheng, Chen, et al.
Published: (2026)
Disentangled Representation Learning for Causal Inference with Instruments
by: Cheng, Debo, et al.
Published: (2024)
by: Cheng, Debo, et al.
Published: (2024)
CausalMMM: Learning Causal Structure for Marketing Mix Modeling
by: Gong, Chang, et al.
Published: (2024)
by: Gong, Chang, et al.
Published: (2024)
CausalRec: A CausalBoost Attention Model for Sequential Recommendation
by: Hou, Yunbo, et al.
Published: (2025)
by: Hou, Yunbo, et al.
Published: (2025)
Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network
by: Li, Haoran, et al.
Published: (2024)
by: Li, Haoran, et al.
Published: (2024)
Causality Without Causal Models
by: Halpern, Joseph Y., et al.
Published: (2025)
by: Halpern, Joseph Y., et al.
Published: (2025)
Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery
by: Ng, Woon Yee, et al.
Published: (2025)
by: Ng, Woon Yee, et al.
Published: (2025)
Causal Deep Learning
by: Berrevoets, Jeroen, et al.
Published: (2023)
by: Berrevoets, Jeroen, et al.
Published: (2023)
Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning
by: Wang, Xiangmeng, et al.
Published: (2026)
by: Wang, Xiangmeng, et al.
Published: (2026)
ThinknCheck: Grounded Claim Verification with Compact, Reasoning-Driven, and Interpretable Models
by: Rao, Delip, et al.
Published: (2026)
by: Rao, Delip, et al.
Published: (2026)
Cluster-Dags as Powerful Background Knowledge For Causal Discovery
by: de Vargas, Jan Marco Ruiz, et al.
Published: (2025)
by: de Vargas, Jan Marco Ruiz, et al.
Published: (2025)
Detecting and Measuring Confounding Using Causal Mechanism Shifts
by: Reddy, Abbavaram Gowtham, et al.
Published: (2024)
by: Reddy, Abbavaram Gowtham, et al.
Published: (2024)
Transformer-based Causal Language Models Perform Clustering
by: Wu, Xinbo, et al.
Published: (2024)
by: Wu, Xinbo, et al.
Published: (2024)
CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos
by: Li, Xuchen, et al.
Published: (2025)
by: Li, Xuchen, et al.
Published: (2025)
Algorithmic Identification of Essential Exogenous Nodes for Causal Sufficiency in Brain Networks
by: Bagheri, Abdolmahdi, et al.
Published: (2024)
by: Bagheri, Abdolmahdi, et al.
Published: (2024)
CausalMed: Causality-Based Personalized Medication Recommendation Centered on Patient health state
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
Disentangled Instrumental Variables for Causal Inference with Networked Observational Data
by: Huang, Zhirong, et al.
Published: (2026)
by: Huang, Zhirong, et al.
Published: (2026)
Causal-LLaVA: Causal Disentanglement for Mitigating Hallucination in Multimodal Large Language Models
by: Hu, Xinmiao, et al.
Published: (2025)
by: Hu, Xinmiao, et al.
Published: (2025)
s-ID: Causal Effect Identification in a Sub-Population
by: Abouei, Amir Mohammad, et al.
Published: (2023)
by: Abouei, Amir Mohammad, et al.
Published: (2023)
Similar Items
-
Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportion
by: Du, Liang, et al.
Published: (2024) -
Reducing Bias and Variance: Generative Semantic Guidance and Bi-Layer Ensemble for Image Clustering
by: Li, Feijiang, et al.
Published: (2026) -
Deep Embedding Clustering Driven by Sample Stability
by: Cheng, Zhanwen, et al.
Published: (2024) -
Beyond Detection: A Comprehensive Benchmark and Study on Representation Learning for Fine-Grained Webshell Family Classification
by: Han, Feijiang
Published: (2025) -
Hybrid Local Causal Discovery
by: Ling, Zhaolong, et al.
Published: (2024)