5 papers · 1 filter
Estimating Condition Number with Graph Neural Networks
Erin Carson, Xinye Chen
In this paper, we propose a fast method for estimating the condition number of sparse matrices using graph neural networks (GNNs). For efficient deployment of GNNs, we introduce a…
Precision autotuning for linear solvers via contextual bandit-based RL
Erin Carson, Xinye Chen
We propose a reinforcement learning (RL) framework for adaptive precision tuning for linear solvers, which can be extended to general algorithms. The framework is formulated as a c…
pychop: Emulating Low-Precision Arithmetic in Numerical Methods and Neural Networks
Erin Carson, Xinye Chen
Motivated by the growing demand for reduced-precision arithmetic in computational science, we exploit lower-precision emulation in Python---widely regarded as the dominant programm…
LLM-ABBA: Understanding time series via symbolic approximation
Xinye Chen, Erin Carson, Cheng Kang
The success of large language models (LLMs) for time series has been demonstrated in previous work. Utilizing a symbolic time series representation, one can efficiently bridge the…
QABBA: Error-Guaranteed Symbolic Time-Series Compression via Integer-Quantized Aggregation
Erin Carson, Xinye Chen, Fei He +1
The expansion of time-series data from sensors and monitoring systems has made compact representations increasingly important. Such representations should retain signal structure w…