SOTAVerified

Point Processes

Papers

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Showing 51–75 of 541 papers

TitleStatusHype
Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions—0
Convex Parameter Recovery for Interacting Marked Processes—0
A Tutorial on Hawkes Processes for Events in Social Media—0
A Novel Analytical Model for LEO and MEO Satellite Networks based on Cox Point Processes—0
Autoregressive Point-Processes as Latent State-Space Models: a Moment-Closure Approach to Fluctuations and Autocorrelations—0
A Variational Auto-Encoder Model for Stochastic Point Processes—0
A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes—0
Batch Active Learning of Reward Functions from Human Preferences—0
Sequential Adversarial Anomaly Detection for One-Class Event Data—0
A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior—0
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes—0
An Interpretable Determinantal Choice Model for Subset Selection—0
LOS Coverage Area in Vehicular Networks with Cox distributed Roadside Units and Relays—0
A time-dependent Markovian model of a limit order book—0
3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes—0
Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions—0
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrodinger Equation—0
Arithmetic Average Density Fusion -- Part II: Unified Derivation for Unlabeled and Labeled RFS Fusion—0
Analyzing Downlink Coverage in Clustered Low Earth Orbit Satellite Constellations: A Stochastic Geometry Approach—0
Asynchronous Ad Hoc Networks with Wireless Powered Cognitive Communications—0
Asymptotic Equivalence of Fixed-size and Varying-size Determinantal Point Processes—0
Analytical Results for the Error in Filtering of Gaussian Processes—0
A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data—0
Constant Memory Attention Block—0
A Survey on Graph Representation Learning Methods—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