Co-occurring keywords · papers mentioning both
Papers
Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models
IJCAI 2023
Prompt-augmented Temporal Point Process for Streaming Event Sequence
NeurIPS 2023
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process
ICML 2023
Discovering Interpretable Data-to-Sequence Generators
AAAI 2022
EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention
EMNLP 2022
Generating Temporally-ordered Event Sequences via Event Optimal Transport
COLING 2022
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
NeurIPS 2022
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
AAAI 2022
Summary Markov Models for Event Sequences
IJCAI 2022
Transformer Embeddings of Irregularly Spaced Events and Their Participants
ICLR 2022
A Variational Inference Approach to Learning Multivariate Wold Processes
AISTATS 2021
Conditional Generation of Temporally-ordered Event Sequences
ACL 2021
Detecting Anomalous Event Sequences with Temporal Point Processes
NeurIPS 2021
Event Outlier Detection in Continuous Time
ICML 2021
Neural Temporal Point Processes: A Review
IJCAI 2021
A Variational Point Process Model for Social Event Sequences
AAAI 2020
Causal Inference of Script Knowledge
EMNLP 2020
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
ICML 2020
Self-Attentive Hawkes Process
ICML 2020
Transformer Hawkes Process
ICML 2020
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process
AAAI 2020
Learning Hawkes Processes from a handful of events
NeurIPS 2019
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling
NeurIPS 2019
Meta Learning with Relational Information for Short Sequences
NeurIPS 2019
Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes
NeurIPS 2019