Closed-form interpretation of neural network classifiers with symbolic gradients by Sebastian J Wetzel

“…Machine Learning: Science and Technology…”
Get full text

Efficient Monte Carlo simulation of streamer discharges with deep-learning denoising models by F M Bayo-Muñoz, A Malagón-Romero, A Luque

“…Machine Learning: Science and Technology…”
Get full text

Randomized radial basis function neural network for solving multiscale elliptic equations by Yuhang Wu, Ziyuan Liu, Wenjun Sun, Xu Qian

“…Machine Learning: Science and Technology…”
Get full text

Inception networks, data augmentation and transfer learning in EEG-based photosensitivity diagnosis by Fernando Moncada Martins, Víctor M González, José R Villar, Beatriz García López, Ana Isabel Gómez-Menéndez

“…Machine Learning: Science and Technology…”
Get full text

Quantitative assessment of PINN inference on experimental data for gravity currents flows by Mickaël Delcey, Yoann Cheny, Jean Schneider, Simon Becker, Sébastien Kiesgen De Richter

“…Machine Learning: Science and Technology…”
Get full text

Into the latent space of capacitive sensors: interpolation and synthetic data generation using variational autoencoders by Miguel Monteagudo Honrubia, Francisco Javier Herraiz-Martínez, Javier Matanza Domingo

“…Machine Learning: Science and Technology…”
Get full text

Deep(er) reconstruction of imaging Cherenkov detectors with swin transformers and normalizing flow models by C Fanelli, J Giroux, J Stevens

“…Machine Learning: Science and Technology…”
Get full text