Modeling Visual Impairments with Artificial Neural Networks: a Review

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Modeling Visual Impairments with Artificial Neural Networks: a Review

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Topics in statistical physics of high-dimensional machine learning

Improving the accuracy and interpretability of neural networks for wind power forecasting

Probing and modulating inter-areal coupling in the cortical visual motion processing pathway with non-invasive brain stimulation

A Closer Look at Benchmarking Self-supervised Pre-training with Image Classification

Self-supervised and few-shot learning for robust bioaerosol monitoring

Driving and suppressing the human language network using large language models

Using deep reinforcement learning to investigate stretch feedback during swimming of the lamprey

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

The modulation of selective attention and divided attention on cross-modal congruence

Context selectivity with dynamic availability enables lifelong continual learning

Enabling Uncertainty Estimation in Iterative Neural Networks

Foundations of a New Learning Paradigm in AI Grounded in the Principles of Evolutionary Developmental Biology

Posterior-Based Analysis of Spatio-Temporal Features for Sign Language Assessment

Robust machine learning for neuroscientific inference

Probing the latent hierarchical structure of data via diffusion models

Partial Assistance with Lower-Limb Exoskeletons to Enhance Gait and Balance in Daily Living Activities

Generalization of Scaled Deep ResNets in the Mean-Field Regime

The Skin of Venice: A Computational Approach to the City's Urban Structure

Mental State Recognition Deficits Linked to Brain Changes in Parkinson's Disease Without Dementia

Incorporating Projective Geometry into Deep Learning