hawkes process

CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration JMLR 2026 How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs UAI 2026 Suggest-Verify-Revise: A Three-Stage Document-Level Event Causality Identification with Narrative Consistency ACL 2026 A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior ACL 2025 Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model MLHC 2025 Community-Aware Variational Autoencoder for Continuous Dynamic Networks AAAI 2025 Dynamic Higher-Order Relations and Event-Driven Temporal Modeling for Stock Price Forecasting IJCAI 2025 Flow-Based Delayed Hawkes Process UAI 2025 Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs COLING 2025 Nonparametric estimation of Hawkes processes with RKHSs AISTATS 2025 Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction AAAI 2025 Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis ICML 2025 Scalable and Adaptive Variational Bayes Methods for Hawkes Processes JMLR 2025 UNHaP: Unmixing Noise from Hawkes Processes AISTATS 2025 Conjugate Bayesian Two-step Change Point Detection for Hawkes Process NeurIPS 2024 Exciting Mood Changes: A Time-aware Hierarchical Transformer for Change Detection Modelling ACL 2024 Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length JMLR 2024 Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations AAAI 2024 HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs NAACL 2024 Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes AISTATS 2024 Provable local learning rule by expert aggregation for a Hawkes network AISTATS 2024 Virtual-Event-Based Posterior Sampling and Inference for Neyman-Scott Processes JMLR 2024 Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes AAAI 2023 Detection of Short-Term Temporal Dependencies in Hawkes Processes with Heterogeneous Background Dynamics UAI 2023 FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels ICML 2023