| DPP-TTS: Diversifying prosodic features of speech via determinantal point processes | Oct 23, 2023 | DiversityPoint Processes | —Unverified | 0 | 0 |
| DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals | Dec 8, 2021 | Dictionary LearningEEG | —Unverified | 0 | 0 |
| Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks | Apr 1, 2025 | Computational EfficiencyEpidemiology | —Unverified | 0 | 0 |
| A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs | Dec 26, 2023 | Point Processes | —Unverified | 0 | 0 |
| EarthquakeNPP: Benchmark Datasets for Earthquake Forecasting with Neural Point Processes | Sep 27, 2024 | BenchmarkingDataset Generation | —Unverified | 0 | 0 |
| Échantillonnage de signaux sur graphes via des processus déterminantaux | Apr 7, 2017 | Point Processes | —Unverified | 0 | 0 |
| Efficient Bayesian Nonparametric Modelling of Structured Point Processes | Jul 25, 2014 | Point Processes | —Unverified | 0 | 0 |
| Efficient Sampling for k-Determinantal Point Processes | Sep 4, 2015 | DiversityPoint Processes | —Unverified | 0 | 0 |
| Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference | Sep 6, 2023 | Point ProcessesTime Series | —Unverified | 0 | 0 |
| Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes | Jun 24, 2020 | DiversityPoint Processes | —Unverified | 0 | 0 |
| Equivariant Normalizing Flows for Point Processes and Sets | Sep 28, 2020 | Point Processes | —Unverified | 0 | 0 |
| Scalable Normalizing Flows for Permutation Invariant Densities | Oct 7, 2020 | Point Processes | —Unverified | 0 | 0 |
| Ergodic Secrecy Rate Analysis for LEO Satellite Downlink Networks | Dec 12, 2023 | Point Processes | —Unverified | 0 | 0 |
| A Metric Space for Point Process Excitations | May 5, 2020 | Point Processes | —Unverified | 0 | 0 |
| EventFlow: Forecasting Continuous-Time Event Data with Flow Matching | Oct 9, 2024 | Point Processes | —Unverified | 0 | 0 |
| Event-scheduling algorithms with Kalikow decomposition for simulating potentially infinite neuronal networks | Oct 23, 2019 | Point ProcessesScheduling | —Unverified | 0 | 0 |
| Exact Sampling from Determinantal Point Processes | Sep 22, 2016 | Active LearningBayesian Optimization | —Unverified | 0 | 0 |
| Exact Sampling of Determinantal Point Processes without Eigendecomposition | Feb 23, 2018 | DiversityPoint Processes | —Unverified | 0 | 0 |
| Expectation-Maximization for Learning Determinantal Point Processes | Nov 4, 2014 | DiversityPoint Processes | —Unverified | 0 | 0 |
| Explaining Point Processes by Learning Interpretable Temporal Logic Rules | Sep 29, 2021 | Point Processes | —Unverified | 0 | 0 |
| Exponentiated Strongly Rayleigh Distributions | Dec 1, 2018 | Point Processes | —Unverified | 0 | 0 |
| Extracting Attentive Social Temporal Excitation for Sequential Recommendation | Sep 28, 2021 | Collaborative FilteringGraph Embedding | —Unverified | 0 | 0 |
| Extractive Financial Narrative Summarisation based on DPPs | Dec 1, 2020 | DiversityPoint Processes | —Unverified | 0 | 0 |
| FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels | Oct 10, 2022 | Computational EfficiencyPoint Processes | —Unverified | 0 | 0 |
| Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning | Aug 1, 2013 | Document SummarizationInformation Retrieval | —Unverified | 0 | 0 |