Abstract: Photoplethysmography (PPG) signals are essential for non-invasive cardiovascular monitoring, yet dynamic noise, including motion artifacts, significantly degrades downstream deep learning ...

With the adoption of machine learning models in various practical domains, there is a growing need for evaluating and increasing model robustness. Hyperdimensional computing (HDC) is a neurosymbolic ...

Firefly Neuroscience, Inc., a company specializing in prepackaged software with a market capitalization of $31.7 million, announced the appointment of Greg Lipschitz as its new Chief Executive Officer ...

Estimating the global Lipschitz constant of neural networks is crucial for understanding and improving their robustness and generalization capabilities. However, precise calculations are NP-hard, and ...

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Thanks for the great repo! I'd like to use your model for a project I'm working on, but have some questions. Any given iResBlock, f(x) needs to be contractive (lipschitz < 1) in order for x + f(x) to ...

Abstract: An adaptive neural stochastic contraction metric with Lipschitz constant optimization (aNSCM-Lip) is proposed for It stochastic systems with unmatched parameter uncertainties. The adaptive ...

When tolerance is 0.0 (default), for every outer iteration we run 100 iterations (default) for the proximal of TV (which is the FISTA algorithm applied on the dual-ROF problem). Since every time a ...