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