Point Processes
136 papers with code • 0 benchmarks • 2 datasets
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Latest papers with no code
Performance Analysis for Downlink Transmission in Multi-Connectivity Cellular V2X Networks
With the ever-increasing number of connected vehicles in the fifth-generation mobile communication networks (5G) and beyond 5G (B5G), ensuring the reliability and high-speed demand of cellular vehicle-to-everything (C-V2X) communication in scenarios where vehicles are moving at high speeds poses a significant challenge. Recently, multi-connectivity technology has become a promising network access paradigm for improving network performance and reliability for C-V2X in the 5G and B5G era.
Interpretable Neural Temporal Point Processes for Modelling Electronic Health Records
Electronic Health Records (EHR) can be represented as temporal sequences that record the events (medical visits) from patients.
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure
However, current methods only address joint modeling of longitudinal measurements at regularly-spaced observation times and survival events, neglecting recurrent events.
Modeling and Coverage Analysis of K-Tier Integrated Satellite-Terrestrial Downlink Networks
In this paper, we introduce a tractable approach to analyze the downlink coverage performance of multi-tier ISTNs, where each network tier operates with orthogonal frequency bands.
On the Efficient Marginalization of Probabilistic Sequence Models
Real-world data often exhibits sequential dependence, across diverse domains such as human behavior, medicine, finance, and climate modeling.
Probabilistic Generating Circuits -- Demystified
As our second main result, we show that there is a good reason for this: we prove that PGCs for categorial variables with larger image size do not support tractable marginalization unless NP = P. On the other hand, we show that we can model categorial variables with larger image size as PC with negative weights computing set-multilinear polynomials.
Point Processes and spatial statistics in time-frequency analysis
The zeros of the spectrogram of a noisy signal are then the zeros of a random analytic function, hence forming a Point Process in $\mathbb{C}$.
Analyzing Downlink Coverage in Clustered Low Earth Orbit Satellite Constellations: A Stochastic Geometry Approach
Our analyses can be used to design reliable satellite cluster networks by effectively estimating the impact of system parameters on the coverage performance.
Batch Active Learning of Reward Functions from Human Preferences
Our results suggest that our batch active learning algorithm requires only a few queries that are computed in a short amount of time.
Selective linear segmentation for detecting relevant parameter changes
Change-point processes are one flexible approach to model long time series.
