On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,341 papers · 148 categories

Trend · papers per month

count % of corpus

6 results for “intensity-free”

Wasserstein Learning of Deep Generative Point Process Modelscs.LG

Paper proposes a new method for point process modeling without intensity function.

problem Limitations of current point process modeling methods, especially in multi-modal distributions.

method Intensity-free approach using Wasserstein distance for likelihood-free learning.

result Superior performance on various synthetic and real-world data compared to conventional methods.

point processes intensity-free Wasserstein distance likelihood-free multi-modal distributions

2017-05-23abs ↗pdf ↗

Intensity-Free Learning of Temporal Point Processescs.LG

New models directly model inter-event times without intensity functions.

problem Learning temporal point processes with intensity-based approaches.

method Normalizing flows and mixture models for flexible and efficient modeling.

result Achieves state-of-the-art performance in prediction tasks.

temporal point processes intensity-free learning normalizing flows inter-event times mixture models

2019-09-26abs ↗pdf ↗

Intensity-free Integral-based Learning of Marked Temporal Point Processescs.LG

New method models MTPP without predefined intensity functions.

problem Parameterizing conditional joint PDF for MTPP.

method IFIB framework, modeling

p^*(m,t)

directly.

result Superior experimental results on real and synthetic data.

Marked Temporal Point Processes Conditional Joint PDF Intensity-free Integral-based Multi-dimensional Continuous Space

2023-08-04abs ↗pdf ↗

Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processescs.LG

New model captures time and mark inter-dependence in TPPs.

problem Limited predictive performance of conditionally independent TPP models on entangled time and mark interactions.

method Developed a multivariate TPP that models conditional inter-dependence of time and mark, using both intensity-based and intensity-free models.

result Proposed TPP models outperform conditionally independent and dependent models in standard prediction tasks.

Temporal Point Processes Marked TPPs Conditional Inter-dependence Flexible Intensity-Free Models Predictive Performance

2022-10-27abs ↗pdf ↗

Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process Viewcs.LG

Paper models COVID-19 spread as spatio-temporal point processes.

problem Understanding complex spacetime propagation of COVID-19.

method Generative and intensity-free model using adversarial imitation learning.

result Imitation learning framework for scalable model inference.

COVID-19 spatio-temporal point process generative model adversarial learning

2021-06-24abs ↗pdf ↗

Point Process Flowscs.LG

Proposes a new method to model event sequences using normalizing flows.

problem Modeling asynchronous and probabilistic event sequences.

method Intensity-free framework using normalizing flows.

result Effective at capturing stochasticity of discrete event sequences.

point processes temporal modeling normalizing flows stochasticity event sequences

2019-10-18abs ↗pdf ↗