residual neural networks

https://openreview.net/forum?id=-IXhmY16R3M Universal approximation power of deep residual neural networks via nonlinear control theory |... In this paper, we explain the universal approximation capabilities of deep residual neural networks through geometric nonlinear control. Inspired by recent... residual neural networks https://www.pnnl.gov/publications/self-adaptive-weights-based-balanced-residual-decay-rate-physics-informed-neural Self-adaptive weights based on balanced residual decay rate for physics-informed neural networks... https://www.mdpi.com/2072-4292/12/14/2207 Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks Convolutional Neural Networks (CNNs) consistently proved state-of-the-art results in image Super-resolution (SR), representing an exceptional opportunity for... https://arxiv.org/abs/2506.07854v1 [2506.07854v1] Residual Reweighted Conformal Prediction for Graph Neural Networks Abstract page for arXiv paper 2506.07854v1: Residual Reweighted Conformal Prediction for Graph Neural Networks conformal prediction 2506 residual graph neural https://openreview.net/forum?id=rkxNh1Stvr Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O... Learning to Estimate Point-Prediction Uncertainty and Correct Output in Neural Networks https://openreview.net/forum?id=qfVw1JAzIBq&referrer=%5Bthe%20profile%20of%20Huamin%20Wang%5D(%2Fprofile%3Fid%3D~Huamin_Wang3) Multi-LRA: Multi logical residual architecture for spiking neural networks | OpenReview spiking neural networks multi lra logical residual https://deepai.org/publication/multigoal-oriented-dual-weighted-residual-error-estimation-using-deep-neural-networks Multigoal-oriented dual-weighted-residual error estimation using deep neural networks | DeepAI Dec 21, 2021 - 12/21/21 - Deep learning has shown successful application in visual recognition and certain artificial intelligence tasks. Deep learning is a... deep neural networks

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