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Point Processes

Papers

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Showing 501–541 of 541 papers

TitleStatusHype
DPP-TTS: Diversifying prosodic features of speech via determinantal point processes—0
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals—0
Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks—0
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs—0
EarthquakeNPP: Benchmark Datasets for Earthquake Forecasting with Neural Point Processes—0
Échantillonnage de signaux sur graphes via des processus déterminantaux—0
Efficient Bayesian Nonparametric Modelling of Structured Point Processes—0
Efficient Sampling for k-Determinantal Point Processes—0
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference—0
Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes—0
Equivariant Normalizing Flows for Point Processes and Sets—0
Scalable Normalizing Flows for Permutation Invariant Densities—0
Ergodic Secrecy Rate Analysis for LEO Satellite Downlink Networks—0
A Metric Space for Point Process Excitations—0
EventFlow: Forecasting Continuous-Time Event Data with Flow Matching—0
Event-scheduling algorithms with Kalikow decomposition for simulating potentially infinite neuronal networks—0
Exact Sampling from Determinantal Point Processes—0
Exact Sampling of Determinantal Point Processes without Eigendecomposition—0
Expectation-Maximization for Learning Determinantal Point Processes—0
Explaining Point Processes by Learning Interpretable Temporal Logic Rules—0
Exponentiated Strongly Rayleigh Distributions—0
Extracting Attentive Social Temporal Excitation for Sequential Recommendation—0
Extractive Financial Narrative Summarisation based on DPPs—0
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels—0
Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning—0
Fast determinantal point processes via distortion-free intermediate sampling—0
Fast DPP Sampling for Nyström with Application to Kernel Methods—0
Fast Mixing for Discrete Point Processes—0
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling—0
Fast parallel sampling under isoperimetry—0
Fast Sampling for Strongly Rayleigh Measures with Application to Determinantal Point Processes—0
Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network—0
Federated Neural Nonparametric Point Processes—0
Filtering through a topological lens: homology for point processes on the time-frequency plane—0
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems—0
Fixed-point algorithms for learning determinantal point processes—0
Detecting Structural Shifts in Multivariate Hawkes Processes with Fréchet Statistics—0
From asymptotic properties of general point processes to the ranking of financial agents—0
From MAP to Marginals: Variational Inference in Bayesian Submodular Models—0
Gaussian Determinantal Processes: a new model for directionality in data—0
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeTPPT-mAP57.37—Unverified
2ODE-RNNT-mAP48.81—Unverified
3NHPT-mAP45.07—Unverified
4RMTPPT-mAP44.74—Unverified
5IFTPPT-mAP31.75—Unverified
6AttNHPT-mAP25.85—Unverified
#ModelMetricClaimedVerifiedStatus
1DeTPPT-mAP9.17—Unverified
2RMTPPT-mAP6.69—Unverified
3IFTPPT-mAP5.88—Unverified
4NHPT-mAP5.61—Unverified
5ODE-RNNT-mAP5.52—Unverified
#ModelMetricClaimedVerifiedStatus
1DeTPPT-mAP37.18—Unverified
2NHPT-mAP26.29—Unverified
3IFTPPT-mAP22.56—Unverified
4RMTPPT-mAP20.06—Unverified
#ModelMetricClaimedVerifiedStatus
1IFTPPOTD13.64—Unverified
2RMTPPOTD13.17—Unverified
3DeTPPOTD12.06—Unverified