Research
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.

169,051 papers · 148 categories

Trend · papers per month

0111 · Mar 201919922001200920182026
2 results for byte-based

The paper analyzes features learned by deep neural networks from malware binaries.

problem Costly feature engineering in malware classification.
method Examined byte-level activations and their connection to original features through parsing and disassembly.
result Identified interesting features learned by deep neural networks and their relation to traditional features.

This research predicts stock market movements using Vision-Language models.

problem Predicting future stock market direction using historical data.
method Utilizing image and byte-based representations of stock data processed with Vision-Language models.
result The proposed approach significantly outperforms deep learning baselines.