Abstract: The loss function of conventional Physics-Informed Neural Networks (PINNs) is a linear sum of the partial differential equation (PDE), boundary condition, and initial condition losses.
A class of novel arbitrary-order balanced bandpass filters (BPFs) and balanced quasi-reflectionless BPFs (QR BPFs) using out-of-phase coupled double-sided parallel-strip lines (DSPSLs) are presented ...
Defined by the men in their lives, women in ancient Rome were valued mainly as wives and mothers. Although some were allowed more freedom than others, there was always a limit, even for the daughter ...
The PIML4PDE framework is designed to solve Partial Differential Equations (PDEs) using Physics-Informed Machine Learning (PIML). This framework is intended for educational purposes, demonstrating ...
A differential equation is an equality constraining a mathematical function in relation to its derivatives over one or multiple variables. Such equations may constitute the mathematical model for a ...
Bitcoin Core saw a significant uptick in development activity during 2025, with mailing list traffic up 60% year-over-year, 135 unique code contributors, and approximately 285,000 lines of code ...
DP-Fusion-Lib enables Large Language Model inference with mathematically provable differential privacy guarantees. Based on our research paper "DP-Fusion: Token-Level Differentially Private Inference ...
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