SOTAVerified

Point Processes

Papers

Showing 1–25 of 541 papers

TitleStatusHype
MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image RetrievalCode0
Diverse Mini-Batch Selection in Reinforcement Learning for Efficient Chemical Exploration in de novo Drug Design—0
Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object DetectionCode0
Urban RIS-Assisted HAP Networks: Performance Analysis Using Stochastic Geometry—0
Uncovering Social Network Activity Using Joint User and Topic Interaction—0
Turbocharging Gaussian Process Inference with Approximate Sketch-and-ProjectCode0
Evaluating Uncertainty in Deep Gaussian ProcessesCode0
Interpretable Hybrid-Rule Temporal Point Processes—0
Filtering through a topological lens: homology for point processes on the time-frequency plane—0
Deep spatio-temporal point processes: Advances and new directions—0
A stochastic volatility approximation for a tick-by-tick price model with mean-field interaction—0
Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks—0
Learning Structure-enhanced Temporal Point Processes with Gromov-Wasserstein Regularization—0
Whenever, Wherever: Towards Orchestrating Crowd Simulations with Spatio-Temporal Spawn DynamicsCode0
Stochastic Geometry for Modeling and Analysis of Sensing and Communications: A Survey—0
PER-DPP Sampling Framework and Its Application in Path Planning—0
Differentially private synthesis of Spatial Point Processes—0
Prediction of Clinical Complication Onset using Neural Point Processes—0
Neural Spatiotemporal Point Processes: Trends and Challenges—0
Negative Dependence as a toolbox for machine learning : review and new developments—0
Language-TPP: Integrating Temporal Point Processes with Language Models for Event Analysis—0
Leveraging band diversity for feature selection in EO data—0
Advances in Temporal Point Processes: Bayesian, Deep, and LLM Approaches—0
Differentiable Adversarial Attacks for Marked Temporal Point ProcessesCode0
Downlink Performance of Cell-Free Massive MIMO for LEO Satellite Mega-Constellation—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