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Point Processes

Papers

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Showing 501–541 of 541 papers

TitleStatusHype
Mean-field inference of Hawkes point processes—0
Utility maximization in pure-jump models driven by marked point processes and nonlinear wealth dynamics—0
Non-stationary filtered shot noise processes and applications to neuronal membranes—0
Efficient Sampling for k-Determinantal Point Processes—0
Fixed-point algorithms for learning determinantal point processes—0
Inference for determinantal point processes without spectral knowledge—0
Point Process Modelling of Rumour Dynamics in Social Media—0
Microscopic approach of a time elapsed neural model—0
Fast Mixing for Discrete Point Processes—0
Block-Wise MAP Inference for Determinantal Point Processes with Application to Change-Point Detection—0
Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning—0
Modeling networks of spiking neurons as interacting processes with memory of variable length—0
From MAP to Marginals: Variational Inference in Bayesian Submodular Models—0
Diversifying Sparsity Using Variational Determinantal Point Processes—0
Large-Margin Determinantal Point Processes—0
Expectation-Maximization for Learning Determinantal Point Processes—0
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNetCode1
Variational Inference for Gaussian Process Modulated Poisson Processes—0
Notes on using Determinantal Point Processes for Clustering with Applications to Text Clustering—0
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes—0
How close are we to understanding image-based saliency?—0
Tracking Dynamic Point Processes on Networks—0
Efficient Bayesian Nonparametric Modelling of Structured Point Processes—0
Graphical structure of conditional independencies in determinantal point processes—0
Learning the Parameters of Determinantal Point Process Kernels—0
Discovering Latent Network Structure in Point Process Data—0
Approximate Inference in Continuous Determinantal Processes—0
A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data—0
Shape from Texture using Locally Scaled Point Processes—0
Approximate Inference in Continuous Determinantal Point Processes—0
Improved Lexical Acquisition through DPP-based Verb Clustering—0
Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning—0
Online Optimization in Dynamic Environments—0
Recovering Line-Networks in Images by Junction-Point Processes—0
Near-Optimal MAP Inference for Determinantal Point Processes—0
Determinantal point processes for machine learningCode0
Discovering Diverse and Salient Threads in Document Collections—0
Analytical Results for the Error in Filtering of Gaussian Processes—0
Structured Determinantal Point Processes—0
A novel family of non-parametric cumulative based divergences for point processes—0
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models—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