| Mean-field inference of Hawkes point processes | Nov 4, 2015 | Point Processesvalid | —Unverified | 0 |
| Utility maximization in pure-jump models driven by marked point processes and nonlinear wealth dynamics | Sep 21, 2015 | Point Processes | —Unverified | 0 |
| Non-stationary filtered shot noise processes and applications to neuronal membranes | Sep 13, 2015 | Point Processes | —Unverified | 0 |
| Efficient Sampling for k-Determinantal Point Processes | Sep 4, 2015 | DiversityPoint Processes | —Unverified | 0 |
| Fixed-point algorithms for learning determinantal point processes | Aug 4, 2015 | Point Processes | —Unverified | 0 |
| Inference for determinantal point processes without spectral knowledge | Jul 4, 2015 | Point ProcessesVariational Inference | —Unverified | 0 |
| Point Process Modelling of Rumour Dynamics in Social Media | Jul 1, 2015 | EpidemiologyMulti-Task Learning | —Unverified | 0 |
| Microscopic approach of a time elapsed neural model | Jun 8, 2015 | modelPoint Processes | —Unverified | 0 |
| Fast Mixing for Discrete Point Processes | Jun 6, 2015 | Point Processes | —Unverified | 0 |
| Block-Wise MAP Inference for Determinantal Point Processes with Application to Change-Point Detection | Mar 20, 2015 | Change Point DetectionDiversity | —Unverified | 0 |
| Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning | Mar 11, 2015 | Dimensionality ReductionPoint Processes | —Unverified | 0 |
| Modeling networks of spiking neurons as interacting processes with memory of variable length | Feb 23, 2015 | Point Processes | —Unverified | 0 |
| From MAP to Marginals: Variational Inference in Bayesian Submodular Models | Dec 1, 2014 | Point ProcessesVariational Inference | —Unverified | 0 |
| Diversifying Sparsity Using Variational Determinantal Point Processes | Nov 23, 2014 | Diversityfeature selection | —Unverified | 0 |
| Large-Margin Determinantal Point Processes | Nov 6, 2014 | Diversityparameter estimation | —Unverified | 0 |
| Expectation-Maximization for Learning Determinantal Point Processes | Nov 4, 2014 | DiversityPoint Processes | —Unverified | 0 |
| Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet | Nov 4, 2014 | Object RecognitionPoint Processes | CodeCode Available | 1 |
| Variational Inference for Gaussian Process Modulated Poisson Processes | Nov 2, 2014 | AstronomyBayesian Inference | —Unverified | 0 |
| Notes on using Determinantal Point Processes for Clustering with Applications to Text Clustering | Oct 26, 2014 | ClusteringPoint Processes | —Unverified | 0 |
| Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes | Oct 24, 2014 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| How close are we to understanding image-based saliency? | Sep 26, 2014 | Point Processes | —Unverified | 0 |
| Tracking Dynamic Point Processes on Networks | Aug 29, 2014 | Point Processes | —Unverified | 0 |
| Efficient Bayesian Nonparametric Modelling of Structured Point Processes | Jul 25, 2014 | Point Processes | —Unverified | 0 |
| Graphical structure of conditional independencies in determinantal point processes | Jun 21, 2014 | BIG-bench Machine LearningPoint Processes | —Unverified | 0 |
| Learning the Parameters of Determinantal Point Process Kernels | Feb 20, 2014 | DiversityPoint Processes | —Unverified | 0 |
