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Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs
Control-relevant neural networks for feedforward control with preview: Applied to an industrial flatbed printer
Neural inverse procedural modeling of knitting yarns from images
Approximate dynamic programming for constrained linear systems: A piecewise quadratic approximation approach
Reliable and Energy-efficient Diabetic Retinopathy Screening using Memristor-based Neural Networks
Adaptive Prescribed Performance Asymptotic Tracking for High-Order Odd-Rational-Power Nonlinear Systems
Training Generative Adversarial Networks via Stochastic Nash Games
DeepPick: A Deep Learning Approach to Unveil Outstanding Users Ranking with Public Attainable Features
Unrolling of Simplicial ElasticNet for Edge Flow Signal Reconstruction
Symbolic knowledge extraction for explainable nutritional recommenders
Backdoor Pony: Evaluating backdoor attacks and defenses in different domains
Into the unknown: active monitoring of neural networks (extended version)
Damage surrogate models for real-time flooding risk assessment of passenger ships
Introducing CNN-LSTM network adaptations to improve remaining useful life prediction of complex systems
Robust Lane Detection Through Self Pre-Training With Masked Sequential Autoencoders and Fine-Tuning With Customized PolyLoss
Safety Certification for Stochastic Systems via Neural Barrier Functions
Reconstructing occluded Elevation Information in Terrain Maps with Self-supervised Learning
Monte Carlo simulation of SDEs using GANs
Adaptive neural sliding mode control for heterogeneous ship formation keeping considering uncertain dynamics and disturbances
A PDE-free, neural network-based eddy viscosity model coupled with RANS equations
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