149 citations · 472 across the 21 of their papers we have counts for
22 papers
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…
Rare Event Probability Learning by Normalizing Flows
Zhenggqi Gao, Dinghuai Zhang, Luca Daniel +1
A rare event is defined by a low probability of occurrence. Accurate estimation of such small probabilities is of utmost importance across diverse domains. Conventional Monte Carlo…
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…
Provable Routing Analysis of Programmable Photonics
Zhengqi Gao, Xiangfeng Chen, Zhengxing Zhang +4
Programmable photonic integrated circuits (PPICs) are an emerging technology recently proposed as an alternative to custom-designed application-specific integrated photonics. Light…
A Review of Bayesian Methods in Electronic Design Automation
Zhengqi Gao, Duane S. Boning
The utilization of Bayesian methods has been widely acknowledged as a viable solution for tackling various challenges in electronic integrated circuit (IC) design under stochastic…