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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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6 results for “SPADE”

SPADES and mixture modelsmath.ST

This paper studies sparse density estimation via $\ell_1$ penalization (SPADES). We focus on estimation in high-dimensional mixture models and nonparametric adaptive density estimation. We show, respectively, that SPADES can recover, with high probability, the unknown components of a mixture of probability densities an…

2009-01-14abs ↗pdf ↗

SPADE-S: A Sparsity-Robust Foundational Forecastercs.LG

SPADE-S improves time series forecasting accuracy for low-magnitude and sparse data.

problem Challenges in forecasting time series with strong heterogeneity in magnitude and sparsity.

method SPADE-S is a robust forecasting architecture that reduces biases and improves overall prediction accuracy.

result SPADE-S outperforms existing state-of-the-art approaches across diverse use cases, improving forecast accuracy by up to 15%.

time series forecasting robustness heterogeneity sparsity accuracy improvements

2025-07-24abs ↗pdf ↗

\spadesuit

SPADE

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Split Peak Attention DEcompositioncs.LG

SPADE improves demand forecasting accuracy by 4.5% for post-promotion periods.

problem Overreacting to peak events in demand forecasting leads to biased forecasts.

method SPADE splits forecasting into two tasks: one for peak events and another for post-peak events, using masked convolution filters and a specialized Peak Attention module.

result Overall PPE improvement of 4.5%, 30% improvement for most affected forecasts after promotions and holidays, and 3.9% improvement in PE accuracy.

demand forecasting peak events masked convolution specialized attention bias reduction

2024-11-06abs ↗pdf ↗

4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Modeleess.IV

Method synthesizes 4D CMR images from XCAT model using GAN and SPADE.

problem Synthesizing realistic 4D CMR images with annotations and adaptable styles.

method Hybrid GAN approach with XCAT anatomical ground truth and SPADE for semantic preservation.

result Synthesized images with modality-specific features learned from real CMR data.

4D CMR XCAT GAN SPADE Semantic preservation

2020-02-17abs ↗pdf ↗

Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approachstat.ML

Paper introduces SPADE method to protect classifiers from OOD and adversarial samples.

problem Protecting classifiers from out-of-distribution and adversarial samples.

method SPADE method based on GEV model in latent space.

result Provable protection against OOD and adversarial samples.

classifier protection out-of-distribution adversarial samples Extreme Value Theory abstaining classifier

2025-01-17abs ↗pdf ↗

Optimizing Non-decomposable Performance Measures: A Tale of Two Classesstat.ML

Modern classification problems frequently present mild to severe label imbalance as well as specific requirements on classification characteristics, and require optimizing performance measures that are non-decomposable over the dataset, such as F-measure. Such measures have spurred much interest and pose specific chall…

2015-05-26abs ↗pdf ↗