- Neural Jump Stochastic Differential Equations,NeurIPS, 2019 [Code]
- Neural Stochastic Differential Equations with Bayesian Jumps for Marked Temporal Point Process,under review
- DYREP: LEARNING REPRESENTATIONS OVER DYNAMIC GRAPHS, [Code] ,ICLR, 2019
- Fully Neural Network based Model for General Temporal Point Processes, [Code], Neurips 2019
- Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information, KDD 2019
- INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process, IJCAI 2018