hongyuanmei / neural-hawkes-particle-smoothing
Source code of the neural Hawkes particle smoothing (ICML 2019)
☆42Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for neural-hawkes-particle-smoothing
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 6 years ago
- Modeling the asynchronous event sequence via Recurrent Point Process☆61Updated 6 years ago
- Recurrent Marked Temporal Point Processes☆56Updated 3 years ago
- ☆88Updated last year
- code for "Fully Neural Network based Model for General Temporal Point Processes"☆60Updated 3 years ago
- Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)☆55Updated last month
- Source code of The Neural Hawkes Process (NIPS 2017)☆214Updated 3 years ago
- Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)☆81Updated 3 years ago
- ☆21Updated 2 years ago
- ☆75Updated 6 years ago
- A short course on temporal point process and modeling irregular time series☆21Updated 4 years ago
- PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.☆13Updated 5 years ago
- A Point Process Toolbox Based on PyTorch☆130Updated 4 years ago
- A PyTorch Implementation of Neural Hawkes Process. Redefined.☆32Updated 4 years ago
- A toolbox of Hawkes processes☆110Updated 6 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆55Updated last year
- Code for Transformer Hawkes Process, ICML 2020.☆177Updated 7 months ago
- Feature Interaction Interpretability via Interaction Detection☆34Updated last year
- ☆57Updated 4 years ago
- Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018☆77Updated 5 years ago
- Variational Autoencoders for Marked Point Processes☆14Updated 4 years ago
- ☆29Updated 2 years ago
- A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.☆55Updated 5 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Updated 11 months ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Updated 4 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆74Updated 3 years ago
- A Spatio-temporal point process simulator.☆45Updated last year
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 2 years ago
- WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems☆35Updated 5 years ago