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03/13/2023
A Review of Bayesian Methods in Electronic Design Automation
The utilization of Bayesian methods has been widely acknowledged as a vi...
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09/19/2022
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation
Optical computing is an emerging technology for next-generation efficien...
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07/22/2022
Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion
Data lies at the core of modern deep learning. The impressive performanc...
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05/24/2022
FreDo: Frequency Domain-based Long-Term Time Series Forecasting
The ability to forecast far into the future is highly beneficial to many...
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01/28/2021
Adjusting for Autocorrelated Errors in Neural Networks for Time Series Regression and Forecasting
In many cases, it is difficult to generate highly accurate models for ti...
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03/02/2020
