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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.

168,657 papers · 148 categories

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5 results for “DSI”

Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterizationstat.ML

New method reduces DSI complexity using RAE and LSTM for better posterior predictions.

problem Reducing complexity in data-space inversion for subsurface flow simulations.

method Recurrent Autoencoder (RAE) for dimension reduction and LSTM for flow-rate time series representation.

result RAE-based parameterization outperforms existing DSI treatments in statistical agreement with reference results.

Data-Space Inversion Recurrent Autoencoder LSTM Subsurface Flow Time-Series Parameterization

2020-04-30abs ↗pdf ↗

Data Separability for Neural Network Classifiers and the Development of a Separability Indexcs.LG

DSI measures dataset separability for neural networks.

problem Difficulty in separating different classes of data in neural networks.

method Created the Distance-based Separability Index (DSI) to quantify dataset separability.

result DSI effectively measures dataset separability and indicates similar distributions of different classes.

DSI Separability Index Neural Networks Dataset Separability Class Separability

2020-05-27abs ↗pdf ↗

Diachronic Sample Integration: Robust Tail-Risk Estimation with Generative Modelscs.LG

DSI improves tail-risk estimation in generative models by averaging checkpoints.

problem Generative models' instability in rare adverse scenarios.

method Diachronic Sample Integration (DSI) ensembles generated samples across checkpoints.

result DSI reduces tail-estimation error compared to single-checkpoint baselines.

tail-risk generative models checkpoint integration bias-variance

2026-07-12abs ↗pdf ↗

An Internal Cluster Validity Index Using a Distance-based Separability Measurecs.LG

A new CVI called DSI evaluates clustering results without true labels.

problem No universal CVI for clustering without true labels.

method DSI based on data separability measure.

result DSI is an effective, unique, and competitive CVI.

CVI Clustering Data Separability External Validation Internal Validity

2020-09-02abs ↗pdf ↗

The presence of log-periodic structures before and after stock market crashes is considered to be an imprint of an intrinsic discrete scale invariance (DSI) in this complex system. The fractal framework of the theory leaves open the possibility of observing self-similar log-periodic structures at different time scales.…

2005-01-21abs ↗pdf ↗