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.

168,742 papers · 148 categories

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3 results for “MAGI”

MAGI-X: Manifold-Constrained Gaussian Process Inference for Unknown System Dynamicsstat.ML

MAGI-X learns unknown dynamics from data without numerical integration.

problem Difficult to propose ODEs in closed-form for complex systems.

method MAGI-X uses neural networks within a manifold-constrained Gaussian process framework.

result MAGI-X achieves competitive accuracy in fitting and forecasting with reduced computational time.

data-driven neural networks Gaussian process manifold-constrained ODEs

2021-05-27abs ↗pdf ↗

Extracting Signal out of Chaos: Advancements on MAGI for Bayesian Analysis of Dynamical Systemsstat.CO

Novel methods improve Bayesian analysis of chaotic dynamical systems.

problem Bayesian parameter inference and trajectory reconstruction of chaotic systems with sparse and noisy data.

method Pilot MAGI (pMAGI) and Pilot MAGI Sequential Prediction (PMSP) methods.

result pMAGI and PMSP significantly outperform existing methods in accuracy and computational efficiency.

Bayesian inference chaotic systems MAGI neural networks ODE

2024-08-20abs ↗pdf ↗

Are Statistical Methods Obsolete in the Era of Deep Learning? A Study of ODE Inverse Problemsstat.CO

Statistical methods remain relevant for ODE inverse problems, especially with sparse data.

problem The relevance of statistical methods in the era of deep learning for ODE inverse problems.

method Employed physics-informed neural networks (PINN) and manifold-constrained Gaussian process inference (MAGI) to compare statistical and deep learning approaches.

result Statistically principled methods outperform deep learning models in tasks like parameter inference and trajectory reconstruction.

ODE inverse problems statistical methods deep learning parameter inference trajectory reconstruction

2025-05-27abs ↗pdf ↗