| Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network | Jan 20, 2023 | Graph Neural NetworkKnowledge Graphs | CodeCode Available | 0 |
| Cox Point Processes for Multi Altitude LEO Satellite Networks | Jan 6, 2023 | Point Processes | —Unverified | 0 |
| Modeling Time-Series and Spatial Data for Recommendations and Other Applications | Dec 25, 2022 | Activity PredictionPoint Processes | —Unverified | 0 |
| Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks | Dec 12, 2022 | Point ProcessesPosition | —Unverified | 0 |
| A Novel Analytical Model for LEO and MEO Satellite Networks based on Cox Point Processes | Dec 7, 2022 | Point Processes | —Unverified | 0 |
| Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes | Dec 5, 2022 | Computational EfficiencyGraph Representation Learning | CodeCode Available | 0 |
| Scalable and adaptive variational Bayes methods for Hawkes processes | Dec 1, 2022 | Data AugmentationPoint Processes | —Unverified | 0 |
| Diverse Multi-Answer Retrieval with Determinantal Point Processes | Nov 29, 2022 | Open-Domain Question AnsweringPoint Processes | —Unverified | 0 |
| Spatio-temporal point processes with deep non-stationary kernels | Nov 21, 2022 | Computational EfficiencyPoint Processes | —Unverified | 0 |
| Beyond Hawkes: Neural Multi-event Forecasting on Spatio-temporal Point Processes | Nov 5, 2022 | Point Processes | CodeCode Available | 0 |
| A weak MLMC scheme for Lévy-copula-driven SDEs with applications to the pricing of credit, equity and interest rate derivatives | Nov 4, 2022 | Point Processes | CodeCode Available | 0 |
| A Faster Sampler for Discrete Determinantal Point Processes | Oct 31, 2022 | Point Processes | CodeCode Available | 0 |
| Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes | Oct 27, 2022 | DescriptivePoint Processes | CodeCode Available | 0 |
| FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels | Oct 10, 2022 | Computational EfficiencyPoint Processes | —Unverified | 0 |
| Arithmetic Average Density Fusion -- Part II: Unified Derivation for Unlabeled and Labeled RFS Fusion | Sep 21, 2022 | Point Processes | —Unverified | 0 |
| Uncovering Regions of Maximum Dissimilarity on Random Process Data | Sep 12, 2022 | Bayesian InferencePoint Processes | —Unverified | 0 |
| Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes | Sep 9, 2022 | counterfactualDecision Making | —Unverified | 0 |
| Cardinality-Regularized Hawkes-Granger Model | Aug 23, 2022 | Managementmodel | CodeCode Available | 0 |
| Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data | Aug 18, 2022 | Point Processes | CodeCode Available | 0 |
| Temporal Up-Sampling for Asynchronous Events | Aug 18, 2022 | object-detectionObject Detection | CodeCode Available | 0 |
| Learning Point Processes using Recurrent Graph Network | Aug 11, 2022 | Graph AttentionPoint Processes | —Unverified | 0 |
| Diversity Boosted Learning for Domain Generalization with Large Number of Domains | Jul 28, 2022 | DiversityDomain Generalization | —Unverified | 0 |
| DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization | Jul 26, 2022 | Point Processes | CodeCode Available | 0 |
| Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes | Jul 1, 2022 | Point Processes | CodeCode Available | 0 |
| Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes | Jun 23, 2022 | Point ProcessesVariational Inference | CodeCode Available | 0 |
