- Cause: Learning granger causality from event sequences using attribution methods, ICML, 2020, [code]
- Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks, AAAI, 2020
- List-wise Fairness Criterion for Point Processes, KDD, 2020
- Continuous-Time Dynamic Graph Learning via Neural Interaction Processes, CIKM, 2020
- List-wise Fairness Criterion for Point Processes, KDD, 2020
- A Variational Point Process Model for Social Event Sequences, AAAI, 2020
- Intensity-Free Learning of Temporal Point Processes, ICLR, 2020, [code]
- Transformer Hawkes Process, ICML, 2020,[code]
- Self-Attentive Hawkes Process, ICML, 2020, [code]
- Noise-Contrastive Estimation for Multivariate Point Processes, NeurIPS, 2022, [Code]
- User-Dependent Neural Sequence Models for Continuous-Time Event Data, NeurIPS, 2020, [Code]