Papers
Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning
Minqi Yu, Jinduo Liu, Junzhong Ji
Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
Hyungi Kim, Jisoo Mok, Dongjun Lee et al.
Causality-driven Spatio-temporal Generator for Multi-phase Contrast-enhanced CT Synthesis
Qikui Zhu, Hao Wu, Yanyan Zhang et al.
Causality-guided Prompt Learning for Vision-language Models via Visual Granulation
Mengyu Gao, Qiulei Dong
Causality-Inspired Disentanglement for Fair Graph Neural Networks
Guixian Zhang, Debo Cheng, Guan Yuan et al.
Causality Inspired Federated Learning for OOD Generalization
Jiayuan Zhang, Xuefeng Liu, Jianwei Niu et al.
Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification
Jiawen Zheng, Li Luo, Jiafan Zhuang et al.
Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting
Jiaming Ma, Zhiqing Cui, Binwu Wang et al.
CausalLink: An Interactive Evaluation Framework for Causal Reasoning
Jinyue Feng, Frank Rudzicz
Causal-LLM: A Unified One-Shot Framework for Prompt- and Data-Driven Causal Graph Discovery
Amartya Roy, N Devharish, Shreya Ganguly et al.
Causal Logistic Bandits with Counterfactual Fairness Constraints
Jiajun Chen, Jin Tian, Christopher John Quinn
Causally Consistent Normalizing Flow
Qingyang Zhou, Kangjie Lu, Meng Xu
Causally Modeling the Linguistic and Social Factors that Predict Email Response
Yinuo Xu, Hong Chen, Sushrita Rakshit et al.
Causally Motivated Sycophancy Mitigation for Large Language Models
Haoxi Li, Xueyang Tang, Jie ZHANG et al.
Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias
Yuen Chen, Vethavikashini Chithrra Raghuram, Justus Mattern et al.
CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks
Qi Chai, Zhang Zheng, Junlong Ren et al.
Causal Models for Growing Networks
Gecia Bravo-Hermsdorff, Kayvan Sadeghi, Lee M. Gunderson
Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar et al.
Causal PETS: Causality-Informed PET Synthesis from Multi-modal Data
Yujia Li, Han Li, S Kevin Zhou
Causal-PIK: Causality-based Physical Reasoning with a Physics-Informed Kernel
Carlota Parés Morlans, Michelle Yi, Claire Chen et al.
Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment
Congzhi Zhang, Linhai Zhang, Jialong Wu et al.
CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation
Nengbo Wang, Xiaotian Han, Jagdip Singh et al.
Causal reasoning in difference graphs
Charles K. Assaad
Causal Representation Learning from General Environments under Nonparametric Mixing
Ignavier Ng, Shaoan Xie, Xinshuai Dong et al.
Causal Representation Learning from Multimodal Biomedical Observations
Yuewen Sun, Lingjing Kong, Guangyi Chen et al.