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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.

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6 results for “GLAS”

Improved Balanced Classification with Theoretically Grounded Loss Functionscs.LG

This paper introduces new loss functions for balanced multi-class classification.

problem Balancing class imbalance in multi-class classification.

method Introduces two new surrogate loss families: GLA and GCA.

result GCA losses offer stronger theoretical guarantees in imbalanced settings.

balanced classification loss functions multi-class class imbalance theoretical guarantees

2025-12-30abs ↗pdf ↗

Aboveground biomass mapping in French Guiana by combining remote sensing, forest inventories and environmental datastat.ML

Mapping AGB in French Guiana combines remote sensing and environmental data.

problem Mapping high AGB values in tropical forests is challenging due to signal saturation and lack of calibration data.

method Developed a calibrated regression model using GLAS, forest inventories, and environmental variables.

result Predictive models for AGB in French Guiana have an RMSE of ~51 Mg/ha and R²=0.48 at 1-km grid size.

forest biomass remote sensing tropical forests calibration GLAS

2016-10-14abs ↗pdf ↗

Anomaly Detection with HMM Gauge Likelihood Analysiscs.LG

New method detects anomalies in time series data using HMMs.

problem Detect anomalies in discrete time series data.

method HMM gauge likelihood analysis (HMM GLA) using Baum-Welch algorithm and clustering.

result Successfully detects anomalies in synthetic and real-world syslog data.

anomaly detection Hidden Markov Models HMM clustering time series

2019-06-14abs ↗pdf ↗

Memory by Design: Probabilistic Sequence Layersstat.ML

A new framework for efficient sequence maps using Bayesian filtering and covariance.

problem Designing efficient recurrent sequence maps from explicit memory assumptions.

method Design-model framework, exact Bayesian filtering, query-dependent readout, linear-Gaussian instantiation.

result Improved robustness and retrieval performance across various benchmarks.

Bayesian filtering sequence maps memory design recurrent neural networks covariance

2026-05-29abs ↗pdf ↗

Re-evaluating cryptocurrencies' contribution to portfolio diversification -- A portfolio analysis with special focus on German investorsq-fin.ST

Investigates if adding cryptocurrencies to German portfolios diversifies better, finding mixed results.

problem Improving diversification in German investor portfolios using cryptocurrencies.

method Portfolio analysis with descriptive statistics, graphical methods, and econometric spanning tests, using a customized EWCI.

result Cryptocurrencies can improve diversification in some windows but not as a normal case.

cryptocurrencies portfolio diversification German investors equally-weighted cryptocurrency index portfolio analysis

2020-06-11abs ↗pdf ↗

The geometry of Gauss map and shape operator in simply isotropic and pseudo-isotropic spacesmath.DG

Study of surfaces in isotropic and pseudo-isotropic spaces using Gauss map and shape operator.

problem Differential geometry of surfaces in degenerate metric spaces.

method Introducing isotropic Gauss map and shape operator, computing curvature tensors and geodesics.

result New curvature tensor not vanishing identically, related to relative Gaussian curvature.

differential geometry isotropic spaces pseudo-isotropic spaces Gauss map shape operator

2018-01-03abs ↗pdf ↗