Co-occurring keywords · papers mentioning both
Papers
Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching
AAAI 2026
METP: Multi-Granularity Integration of External Covariates for Temporal Point Processes
AAAI 2026
ST-TPP: Learning Semi-Transductive Temporal Point Processes with Gromov-Wasserstein Barycentric Regularization
AAAI 2026
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes
AAAI 2025
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks
AAAI 2025
Differentiable Adversarial Attacks for Marked Temporal Point Processes
AAAI 2025
Evolving Minds: Logic-Informed Inference from Temporal Action Patterns
ICML 2025
ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPP
AAAI 2025
Flow-Based Delayed Hawkes Process
UAI 2025
Kairos: Redefining Event and Time Prediction with Language Modeling
ACML 2025
Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes
IJCAI 2025
Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs
AAAI 2025
On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes
JMLR 2025
Retrieval of Temporal Event Sequences from Textual Descriptions
NAACL 2025
TPP-Gaze: Modelling Gaze Dynamics in Space and Time with Neural Temporal Point Processes
WACV 2025
XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications
AAAI 2025
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs
AAAI 2024
DAG-Informed Structure Learning from Multi-Dimensional Point Processes
JMLR 2024
EasyTPP: Towards Open Benchmarking Temporal Point Processes
ICLR 2024
Learning multivariate temporal point processes via the time-change theorem
AISTATS 2024
Probabilistic Modeling for Sequences of Sets in Continuous-Time
AISTATS 2024
Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation
AISTATS 2024
Add and Thin: Diffusion for Temporal Point Processes
NeurIPS 2023
Automatic Integration for Fast and Interpretable Neural Point Processes
L4DC 2023
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
AAAI 2023