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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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0111 · Jan 202019922001200920172026
3 results for “Buckley Leverett”
Physics Informed Deep Learning for Transport in Porous Media. Buckley Leverett Problemstat.ML

A new hybrid approach combines physics and machine learning for porous media transport.

problem Simulating 2-phase immiscible transport in porous media.
method Physics-informed deep learning with adversarial neural networks and automatic differentiation.
result The model accurately simulates shock and rarefaction phenomena with limited data.
reservoir modelingmachine learningporous mediaBuckley Leverettadversarial networks
2020-01-15abs ↗pdf ↗
Counterfactual Survival Q-learning via Buckley-James Boosting, with Applications to ACTG 175 and CALGB 8923stat.ML

Proposes a new Q-learning method for survival outcomes in clinical trials.

problem Incomplete follow-up data and nonlinear covariate effects in clinical trials.
method Combines Buckley-James boosting with flexible base learners for estimating optimal treatment regimes.
result Improves treatment decision accuracy and stability in longitudinal clinical trials.
Q-learningsurvival analysisclinical trialscounterfactualBuckley-James
2025-08-14abs ↗pdf ↗
A Structured Nonparametric Framework for Nonlinear Accelerated Failure Time Models (KAN-AFT)stat.ML

Proposes a new AFT model for nonlinear survival data.

problem Limited ability of classical AFT models to represent nonlinear relationships and handle complex covariate structures.
method Structured nonparametric extension using Kolmogorov--Arnold representations and unified censoring-adjusted losses.
result Method captures nonlinear effects and recovers linear structure when appropriate.
AFT modelsnonlinear survival analysisKolmogorov--Arnold representationscensoring adjustmentsstructural regularization
2025-12-23abs ↗pdf ↗