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.

168,932 papers · 148 categories

Trend · papers per month

count% of corpus
0.3%0.5%0.8%0.1% · Jan 201919922001200920172026
3 results for “memory-driven”
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollerscs.LG

This paper enables deep network inference on microcontrollers with improved accuracy and reduced memory usage.

problem Deploying deep networks on resource-constrained edge-devices with low memory and computational constraints.
method Mixed low-bitwidth compression, rule-based iterative procedure for bit precision determination, quantization-aware retraining, and integer-only model conversion.
result Improved Top1 accuracy of 68% on a 2MB FLASH memory STM32H7 microcontroller, 8% higher than 8-bit implementations.
memory-drivenmixed low precisionquantizationdeep networksmicrocontrollers
2019-05-30abs ↗pdf ↗
HS-FNO: History-Space Fourier Neural Operator for Non-Markovian Partial Differential Equationscs.LG

HS-FNO models non-Markovian PDEs by learning history and future states.

problem Non-Markovian dynamics where future states depend on past history.
method History-Space Fourier Neural Operator (HS-FNO) for delay and memory-driven PDEs.
result HS-FNO achieves lowest aggregate errors across various PDE families.
Neural operatorsNon-Markovian dynamicsDelay equationsMemory-driven systemsPartial differential equations
2026-05-10abs ↗pdf ↗