11 citations · 12 across the 3 of their papers we have counts for
4 papers · 1 filter
Channel-Dependent State Space Model for Multivariate Time Series Forecasting
Yu-Cheng Wu, Fan-Keng Sun, Li-Chun Lu +1
Multivariate time series forecasting (MTSF) is critical across many real-world domains. Existing deep learning approaches fall into two paradigms with distinct limitations: channel…
Simple Feedfoward Neural Networks are Almost All You Need for Time Series Forecasting
Fan-Keng Sun, Yu-Cheng Wu, Duane S. Boning
Time series data are everywhere -- from finance to healthcare -- and each domain brings its own unique complexities and structures. While advanced models like Transformers and grap…
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction
Chih-Yu Lai, Fan-Keng Sun, Zhengqi Gao +2
Time series anomaly detection is challenging due to the complexity and variety of patterns that can occur. One major difficulty arises from modeling time-dependent relationships to…
KirchhoffNet: A Scalable Ultra Fast Analog Neural Network
Zhengqi Gao, Fan-Keng Sun, Ron Rohrer +1
In this paper, we leverage a foundational principle of analog electronic circuitry, Kirchhoff's current and voltage laws, to introduce a distinctive class of neural network models…