Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...
Abstract: Designing devices with memristor arrays requires simultaneous simulations of a large number of memristors. The use of detailed physical models limits the size of memristor arrays during ...
The use of Linear Complementarity Problems (LCP) is a powerful method for modeling switched systems, particularly in the context of power electronic circuits. Switched circuits are ubiquitous in ...
This repository contains authors' implementation of PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond. Our implementation uses the PyTorch library. We warmly ...
Advanced nodes that have been leveraging curvilinear correction with technologies such as ILT and curvilinear OPC are increasingly requiring the use of curvilinear masks to meet advanced feature size ...
Abstract: The choice of activation functions is crucial to deep neural networks. ReLU is a popular hand-designed activation function. Swish, the automatically searched activation function, outperforms ...
PiecewiseLinApprox.jl (formerly LinA.jl) is a state-of-the-art piecewise linear approximation package that approximates (or over/under-estimates) univariate differentiable $\mathbb{R} \rightarrow ...
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