longitudinal data

Bayesian Causal Discovery in Directed Cyclic Graphs with Closed-Form Lag Bayes Factors UAI 2026 Embedding Network Autoregression for Time Series Analysis and Causal Peer Effect Inference JMLR 2026 A Three-Tier LLM Framework for Forecasting Student Engagement from Qualitative Longitudinal Data CoNLL 2025 Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies ICLR 2025 ConText-LE: Cross-Distribution Generalization for Longitudinal Experiential Data via Narrative-Based LLM Representations EMNLP 2025 Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables JMLR 2025 Nonparametric Bayesian Multi-Facet Clustering for Longitudinal Data UAI 2025 Transformer-Based Analysis of Adaptive and Maladaptive Self-States in Longitudinal Social Media Data NAACL 2025 A Linear Algebraic Framework for Counterfactual Generation ICLR 2024 Daily auditory environments in French-speaking infants: A longitudinal dataset ACL 2024 Functional Graph Convolutional Networks: A Unified Multi-task and Multi-modal Learning Framework to Facilitate Health and Social-Care Insights IJCAI 2024 Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data AAAI 2024 Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders AAAI 2024 ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference ICLR 2024 Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan ICCV 2023 Capturing Changes in Mood Over Time in Longitudinal Data Using Ensemble Methodologies NAACL 2022 Causal Transformer for Estimating Counterfactual Outcomes ICML 2022 Detecting Moments of Change and Suicidal Risks in Longitudinal User Texts Using Multi-task Learning NAACL 2022 Emotionally-Informed Models for Detecting Moments of Change and Suicide Risk Levels in Longitudinal Social Media Data NAACL 2022 Leveraging Time Irreversibility with Order-Contrastive Pre-training AISTATS 2022 SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Venous Thromboembolism (VTE) prediction MLHC 2022 A variational approximation for analyzing the dynamics of panel data UAI 2021 Learning Riemannian metric for disease progression modeling NeurIPS 2021 Longitudinal Deep Kernel Gaussian Process Regression AAAI 2021 Longitudinal Variational Autoencoder AISTATS 2021