SOTAVerified

Point Processes

Papers

Showing 501541 of 541 papers

TitleStatusHype
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point ProcessesCode0
Bayesian experimental design using regularized determinantal point processesCode0
Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point ProcessesCode0
Hawkes Process Based on Controlled Differential EquationsCode0
Pareto Front-Diverse Batch Multi-Objective Bayesian OptimizationCode0
Temporal Up-Sampling for Asynchronous EventsCode0
Batched High-dimensional Bayesian Optimization via Structural Kernel LearningCode0
Determinantal point processes for machine learningCode0
Determinantal Point Processes for CoresetsCode0
Modeling The Intensity Function Of Point Process Via Recurrent Neural NetworksCode0
Patent Citation Dynamics Modeling via Multi-Attention Recurrent NetworksCode0
Continuous DR-submodular Maximization: Structure and AlgorithmsCode0
PCA for Point ProcessesCode0
Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction dataCode0
In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point ProcessesCode0
Batch Bayesian Optimization on Permutations using the Acquisition Weighted KernelCode0
Turbocharging Gaussian Process Inference with Approximate Sketch-and-ProjectCode0
Event Outlier Detection in Continuous TimeCode0
MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image RetrievalCode0
Scalable Marked Point Processes for Exchangeable and Non-Exchangeable Event SequencesCode0
THAP: A Matlab Toolkit for Learning with Hawkes ProcessesCode0
An information-theoretic framework to measure the dynamic interaction between neural spike trainsCode0
Intensity-free Integral-based Learning of Marked Temporal Point ProcessesCode0
Intensity-Free Learning of Temporal Point ProcessesCode0
Interacting Diffusion Processes for Event Sequence ForecastingCode0
Intermittent Demand Forecasting with Deep Renewal ProcessesCode0
Scalable Log Determinants for Gaussian Process Kernel LearningCode0
Mutually exciting point process graphs for modelling dynamic networksCode0
Mutually Regressive Point ProcessesCode0
Is Score Matching Suitable for Estimating Point Processes?Code0
Joint Estimation and Inference for Multi-Experiment Networks of High-Dimensional Point ProcessesCode0
Scalable MCMC Sampling for Nonsymmetric Determinantal Point ProcessesCode0
Whenever, Wherever: Towards Orchestrating Crowd Simulations with Spatio-Temporal Spawn DynamicsCode0
Scalable Sampling for Nonsymmetric Determinantal Point ProcessesCode0
PoPPy: A Point Process Toolbox Based on PyTorchCode0
Kronecker Determinantal Point ProcessesCode0
Conditional Generative Modeling for High-dimensional Marked Temporal Point ProcessesCode0
Beyond Hawkes: Neural Multi-event Forecasting on Spatio-temporal Point ProcessesCode0
Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure TransportCode0
Lazy and Fast Greedy MAP Inference for Determinantal Point ProcessCode0
Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry dataCode0
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Benchmark Results

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