| Variational Inference for Gaussian Process Modulated Poisson Processes | Nov 2, 2014 | AstronomyBayesian Inference | —Unverified | 0 | 0 |
| Variational Neural Temporal Point Process | Feb 17, 2022 | Point Processes | —Unverified | 0 | 0 |
| Variational Policy for Guiding Point Processes | Jan 30, 2017 | Point ProcessesVariational Inference | —Unverified | 0 | 0 |
| VBALD - Variational Bayesian Approximation of Log Determinants | Feb 21, 2018 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 | 0 |
| Wasserstein Learning of Determinantal Point Processes | Nov 19, 2020 | Point Processes | —Unverified | 0 | 0 |
| Weighted least-squares approximation with determinantal point processes and generalized volume sampling | Dec 21, 2023 | Point Processes | —Unverified | 0 | 0 |
| Zonotope hit-and-run for efficient sampling from projection DPPs | May 30, 2017 | DiversityPoint Processes | —Unverified | 0 | 0 |
| Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions | Jul 31, 2024 | Point Processesvalid | —Unverified | 0 | 0 |
| A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence | Aug 2, 2024 | Point Processes | —Unverified | 0 | 0 |
| SMART-RAG: Selection using Determinantal Matrices for Augmented Retrieval | Sep 21, 2024 | DiversityPoint Processes | —Unverified | 0 | 0 |
| 3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes | Oct 14, 2024 | Automated Theorem ProvingDiversity | —Unverified | 0 | 0 |
| A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior | Nov 7, 2024 | ClusteringDiversity | —Unverified | 0 | 0 |
| Adaptive Granularity in Tensors: A Quest for Interpretable Structure | Dec 19, 2019 | Point ProcessesTensor Decomposition | —Unverified | 0 | 0 |
| Add and Thin: Diffusion for Temporal Point Processes | Nov 2, 2023 | DenoisingDensity Estimation | —Unverified | 0 | 0 |
| A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data | Dec 1, 2013 | HippocampusPoint Processes | —Unverified | 0 | 0 |
| Advances in Temporal Point Processes: Bayesian, Deep, and LLM Approaches | Jan 24, 2025 | parameter estimationPoint Processes | —Unverified | 0 | 0 |
| Sequential Adversarial Anomaly Detection for One-Class Event Data | Oct 21, 2019 | Anomaly DetectionPoint Processes | —Unverified | 0 | 0 |
| Adversarial Data Generation of Multi-category Marked Temporal Point Processes with Sparse, Incomplete, and Small Training Samples | Jan 1, 2021 | Point Processes | —Unverified | 0 | 0 |
| Algorithmic trading in a microstructural limit order book model | May 3, 2017 | Algorithmic TradingPoint Processes | —Unverified | 0 | 0 |
| Amortized Network Intervention to Steer the Excitatory Point Processes | Oct 6, 2023 | Decision MakingModel-based Reinforcement Learning | —Unverified | 0 | 0 |
| A Multivariate Hawkes Process with Gaps in Observations | Aug 3, 2016 | Point Processes | —Unverified | 0 | 0 |
| An Adaptive Importance Sampling for Locally Stable Point Processes | Aug 14, 2024 | Point Processes | —Unverified | 0 | 0 |
| Analytical Results for the Error in Filtering of Gaussian Processes | Dec 1, 2011 | DecoderGaussian Processes | —Unverified | 0 | 0 |
| Analyzing Downlink Coverage in Clustered Low Earth Orbit Satellite Constellations: A Stochastic Geometry Approach | Feb 26, 2024 | Point Processes | —Unverified | 0 | 0 |
| LOS Coverage Area in Vehicular Networks with Cox distributed Roadside Units and Relays | Oct 26, 2021 | Point Processes | —Unverified | 0 | 0 |