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Point Processes

Papers

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Showing 151–200 of 541 papers

TitleStatusHype
Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural NetworkCode0
Cox Point Processes for Multi Altitude LEO Satellite Networks—0
Modeling Time-Series and Spatial Data for Recommendations and Other Applications—0
Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks—0
A Novel Analytical Model for LEO and MEO Satellite Networks based on Cox Point Processes—0
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point ProcessesCode0
Scalable and adaptive variational Bayes methods for Hawkes processes—0
Diverse Multi-Answer Retrieval with Determinantal Point Processes—0
Spatio-temporal point processes with deep non-stationary kernels—0
Beyond Hawkes: Neural Multi-event Forecasting on Spatio-temporal Point ProcessesCode0
A weak MLMC scheme for Lévy-copula-driven SDEs with applications to the pricing of credit, equity and interest rate derivativesCode0
A Faster Sampler for Discrete Determinantal Point ProcessesCode0
Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point ProcessesCode0
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels—0
Arithmetic Average Density Fusion -- Part II: Unified Derivation for Unlabeled and Labeled RFS Fusion—0
Uncovering Regions of Maximum Dissimilarity on Random Process Data—0
Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes—0
Cardinality-Regularized Hawkes-Granger ModelCode0
Temporal Up-Sampling for Asynchronous EventsCode0
Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry dataCode0
Learning Point Processes using Recurrent Graph Network—0
Diversity Boosted Learning for Domain Generalization with Large Number of Domains—0
DADAO: Decoupled Accelerated Decentralized Asynchronous OptimizationCode0
Scalable MCMC Sampling for Nonsymmetric Determinantal Point ProcessesCode0
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point ProcessesCode0
Lazy and Fast Greedy MAP Inference for Determinantal Point ProcessCode0
VAC2: Visual Analysis of Combined Causality in Event Sequences—0
Causal Discovery in Hawkes Processes by Minimum Description Length—0
Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network—0
Hardness of Maximum Likelihood Learning of DPPs—0
Logarithmic regret bounds for continuous-time average-reward Markov decision processes—0
A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time NetworksCode0
Analysis of a Spatially Correlated Vehicular Network Assisted by Cox-distributed Vehicle Relays—0
Heterogeneous Ultra-Dense Networks with Traffic Hotspots: A Unified Handover Analysis—0
Optimal Sublinear Sampling of Spanning Trees and Determinantal Point Processes via Average-Case Entropic Independence—0
A Survey on Graph Representation Learning Methods—0
A novel sampler for Gauss-Hermite determinantal point processes with application to Monte Carlo integration—0
SimHawNet: A Modified Hawkes Process for Temporal Network SimulationCode0
TIGGER: Scalable Generative Modelling for Temporal Interaction GraphsCode1
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event SequencesCode0
Variational Neural Temporal Point Process—0
Memory Replay with Data Compression for Continual LearningCode1
Long-Horizon Return Predictability from Realized Volatility in Pure-Jump Point Processes—0
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point ProcessesCode0
Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure TransportCode0
Scalable Sampling for Nonsymmetric Determinantal Point ProcessesCode0
Bayesian Neural Hawkes Process for Event Uncertainty Prediction—0
Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting—0
Neural Point Process for Learning Spatiotemporal Event DynamicsCode1
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD—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