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.

168,695 papers · 148 categories

Trend · papers per month

count % of corpus

2 results for “Tensor-Augmentation”

TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecastingcs.LG

TEAFormers preserve multi-dimensional time series structures for better forecasting.

problem Traditional Transformers flatten multi-dimensional time series data, losing critical multi-dimensional relationships.

method Tensor-Augmented Transformer (TEAFormer) with Tensor-Augmentation (TEA) module.

result Significant performance enhancements in time series forecasting across benchmarks.

time series forecasting multi-dimensional data Tensor-Augmented Transformer Tensor-Augmentation attention mechanism

2024-10-27abs ↗pdf ↗

Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentationcs.LG

Improves group fairness in tensor completion by augmenting tensors with balanced entities.

problem Preventing discrimination in tensor decomposition based on social grounds.

method STAFF (Sparse Tensor Augmentation For Fairness) which augments tensors with balanced entities to mitigate imbalance and bias.

result Consistently shows the best trade-off between completion error and group fairness, reducing errors by 36% and 59% respectively.

tensor completion group fairness entity augmentation social bias fairness metrics

2025-07-28abs ↗pdf ↗