Mixed-Precision Deep Learning Based on Computational Memory

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Mixed-Precision Deep Learning Based on Computational Memory

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Retrieval of Surface Solar Radiation through Implicit Albedo Recovery from Temporal Context

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Combining physics-based and data-driven models: advancing the frontiers of research with scientific machine learning

Neural Garment Modeling

Topics in statistical physics of high-dimensional machine learning

Application of Deep Learning and Geospatial Analysis in Soil Loss Risk in the Moulouya Watershed, Morocco

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

On the added value of sequential deep learning for the upscaling of evapotranspiration

On the number of regions of piecewise linear neural networks

Enhancing skin lesion classification: a CNN approach with human baseline comparison

Ethological computational psychiatry: Challenges and opportunities

Unsupervised Rhythm and Voice Conversion of Dysarthric to Healthy Speech for ASR

Integer Linear Programming for Unsupervised Training Set Selection in Molecular Machine Learning

A Reconfigurable High-Dynamic Range ∆Σ Front-End with Event-Based Decimation for Bandwidth-Efficient Implantable Neural Interfaces

EdgeAI-Aware Design of In-Memory Computing Architectures

Slope Deformation Prediction Combining Particle Swarm Optimization-Based Fractional-Order Grey Model and K-Means Clustering

The 2024 Magnonics Roadmap

MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps

Optimizing Dynamic Aperture Studies with Active Learning