Methods

Cognitive Geographies of Catastrophe Narratives: Georeferenced Interview Transcriptions as Language Resource for Models of Forced Displacement COLING 2025 COGRASP: Co-Occurrence Graph Based Stock Price Forecasting IJCAI 2025 Complete Characterization for Adjustment in Summary Causal Graphs of Time Series UAI 2025 Comprehensive Review of Neural Differential Equations for Time Series Analysis IJCAI 2025 Computation-Aware Kalman Filtering and Smoothing AISTATS 2025 Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting IJCAI 2025 Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting ICML 2025 Conditional Information Bottleneck-Based Multivariate Time Series Forecasting IJCAI 2025 Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics EMNLP 2025 Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models UAI 2025 Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification AAAI 2025 Counterfactual Explanations of Time Varying Rankings (Student Abstract) AAAI 2025 Counting Graphlets of Size k under Local Differential Privacy AISTATS 2025 CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness IJCAI 2025 CrisisTS: Coupling Social Media Textual Data and Meteorological Time Series for Urgency Classification ACL 2025 Cross-MoE: An Efficient Temporal Prediction Framework Integrating Textual Modality EMNLP 2025 CrowdMAC: Masked Crowd Density Completion for Robust Crowd Density Forecasting WACV 2025 CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting AAAI 2025 Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction IJCAI 2025 DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries IJCAI 2025 Deep Learning for Multivariate Time Series Imputation: A Survey IJCAI 2025 DeepSN: A Sheaf Neural Framework for Influence Maximization AAAI 2025 DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting IJCAI 2025 Differentiable Adversarial Attacks for Marked Temporal Point Processes AAAI 2025 Diffusion Guided Propagation Augmentation for Popularity Prediction IJCAI 2025