| DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals | Dec 8, 2021 | Dictionary LearningEEG | —Unverified | 0 |
| Self-Adaptable Point Processes with Nonparametric Time Decays | Dec 1, 2021 | Point Processes | —Unverified | 0 |
| Learning to Select Exogenous Events for Marked Temporal Point Process | Dec 1, 2021 | parameter estimationPoint Processes | —Unverified | 0 |
| Continuous-time edge modelling using non-parametric point processes | Dec 1, 2021 | AttributeGaussian Processes | —Unverified | 0 |
| Causal Inference for Event Pairs in Multivariate Point Processes | Dec 1, 2021 | Causal InferencePoint Processes | —Unverified | 0 |
| Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes | Nov 29, 2021 | Point Processesvalid | —Unverified | 0 |
| Computational Complexity of Normalizing Constants for the Product of Determinantal Point Processes | Nov 28, 2021 | Open-Ended Question AnsweringPoint Processes | —Unverified | 0 |
| Gaussian Determinantal Processes: a new model for directionality in data | Nov 19, 2021 | Dimensionality ReductionPoint Processes | —Unverified | 0 |
| Counterfactual Temporal Point Processes | Nov 15, 2021 | counterfactualPoint Processes | CodeCode Available | 1 |
| Learning Neural Models for Continuous-Time Sequences | Nov 13, 2021 | Point Processes | —Unverified | 0 |
| Deep Neyman-Scott Processes | Nov 6, 2021 | Point Processes | CodeCode Available | 0 |
| LOS Coverage Area in Vehicular Networks with Cox distributed Roadside Units and Relays | Oct 26, 2021 | Point Processes | —Unverified | 0 |
| Incremental Learning for Animal Pose Estimation using RBF k-DPP | Oct 26, 2021 | Animal Pose EstimationIncremental Learning | —Unverified | 0 |
| Local Independence Testing for Point Processes | Oct 25, 2021 | Point Processes | CodeCode Available | 0 |
| Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes | Oct 22, 2021 | Bayesian OptimizationDiversity | —Unverified | 0 |
| Sensing Cox Processes via Posterior Sampling and Positive Bases | Oct 21, 2021 | Experimental DesignPoint Processes | CodeCode Available | 0 |
| Variance reduction in stochastic methods for large-scale regularised least-squares problems | Oct 15, 2021 | Point Processes | CodeCode Available | 0 |
| LazyPPL: laziness and types in non-parametric probabilistic programs | Oct 8, 2021 | ClusteringGaussian Processes | —Unverified | 0 |
| Row-clustering of a Point Process-valued Matrix | Oct 4, 2021 | ClusteringPoint Processes | CodeCode Available | 0 |
| Learning mixture of neural temporal point processes for event sequence clustering | Sep 29, 2021 | ClusteringPoint Processes | —Unverified | 0 |
| On the Expressiveness, Predictability and Interpretability of Neural Temporal Point Processes | Sep 29, 2021 | Point Processes | —Unverified | 0 |
| Explaining Point Processes by Learning Interpretable Temporal Logic Rules | Sep 29, 2021 | Point Processes | —Unverified | 0 |
| Extracting Attentive Social Temporal Excitation for Sequential Recommendation | Sep 28, 2021 | Collaborative FilteringGraph Embedding | —Unverified | 0 |
| Joint Estimation and Inference for Multi-Experiment Networks of High-Dimensional Point Processes | Sep 23, 2021 | Point Processes | CodeCode Available | 0 |
| CoviHawkes: Temporal Point Process and Deep Learning based Covid-19 forecasting for India | Sep 8, 2021 | Point Processes | —Unverified | 0 |