Point Processes

134 papers with code • 0 benchmarks • 2 datasets

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Use these libraries to find Point Processes models and implementations

Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families

russelltsuchida/snefy 14 Feb 2024

Maximum likelihood and maximum a posteriori estimates in a reparameterisation of the final layer of the intensity function can be obtained by solving a (strongly) convex optimisation problem using projected gradient descent.

6
14 Feb 2024

Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes

tanguybosser/conf_tpp 9 Jan 2024

A primary objective is to generate a distribution-free joint prediction region for the arrival time and mark, with a finite-sample marginal coverage guarantee.

0
09 Jan 2024

Probabilistic Modeling for Sequences of Sets in Continuous-Time

yuxinc17/set_valued_mtpp 22 Dec 2023

In this work, we develop a general framework for modeling set-valued data in continuous-time, compatible with any intensity-based recurrent neural point process model.

0
22 Dec 2023

Stopping Methods for Technology Assisted Reviews based on Point Processes

reembinhezam/tar_stopping_point_processes 14 Nov 2023

Technology Assisted Review (TAR), which aims to reduce the effort required to screen collections of documents for relevance, is used to develop systematic reviews of medical evidence and identify documents that must be disclosed in response to legal proceedings.

0
14 Nov 2023

Prompt-augmented Temporal Point Process for Streaming Event Sequence

yanyansann/prompttpp NeurIPS 2023

Neural Temporal Point Processes (TPPs) are the prevalent paradigm for modeling continuous-time event sequences, such as user activities on the web and financial transactions.

9
08 Oct 2023

Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain

paragduttaiisc/temporal_event_set_modeling 29 Sep 2023

To the best of our knowledge, this is the first work that solves the problem of predicting event set intensities in the continuous time domain by using TPPs.

0
29 Sep 2023

Intensity-free Integral-based Learning of Marked Temporal Point Processes

stepinsilence/ifib 4 Aug 2023

In the marked temporal point processes (MTPP), a core problem is to parameterize the conditional joint PDF (probability distribution function) $p^*(m, t)$ for inter-event time $t$ and mark $m$, conditioned on the history.

0
04 Aug 2023

Rumor Detection with Diverse Counterfactual Evidence

vicinity111/dce-rd 18 Jul 2023

Our intuition is to exploit the diverse counterfactual evidence of an event graph to serve as multi-view interpretations, which are further aggregated for robust rumor detection results.

9
18 Jul 2023

EasyTPP: Towards Open Benchmarking Temporal Point Processes

ant-research/easytemporalpointprocess 16 Jul 2023

In this paper, we present EasyTPP, the first central repository of research assets (e. g., data, models, evaluation programs, documentations) in the area of event sequence modeling.

170
16 Jul 2023

On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data

tanguybosser/ntpp-tmlr2023 29 Jun 2023

To bridge this gap, we present a comprehensive large-scale experimental study that systematically evaluates the predictive accuracy of state-of-the-art neural TPP models.

0
29 Jun 2023