Toward a Collective Agenda on AI for Earth Science Data Analysis

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Computational Imaging (CI) is the field concerned with reconstructing images of some quantity of interest from a finite number of measurements. It is pervasive in science and engineering problems by enabling the reconstruction of images from a variety of m ...

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Toward a Collective Agenda on AI for Earth Science Data Analysis

Chat with Graph Search

Computational Imaging: a Multi-Facet Perspective

Uncovering neural architectures enabling robust and flexible motor control in Drosophila

A new age in protein design empowered by deep learning

Fashioning the Future: Unlocking the Creative Potential of Deep Generative Models for Design Space Exploration

Dynamic indoor thermal environment using Reinforcement Learning-based controls: Opportunities and challenges

lifex-ep: a robust and efficient software for cardiac electrophysiology simulations

Simulated Learners in Educational Technology: A Systematic Literature Review and a Turing-like Test

In situ monitoring of femtosecond laser-induced modifications in dielectrics

Simulation and experimental study of proton bunch self-modulation in plasma with linear density gradients

Towards Efficient Gas Leak Detection in Built Environments: Data-Driven Plume Modeling for Gas Sensing Robots

Low Noise Clock Generation: Modeling, Analysis and Implementation

Investigating the neuromechanical control of healthy gait modulation and pathological gaits observed in cerebral palsy using neuromuscular simulations

Divide-and-conquer one-step simulator for the generation of synthetic households

Towards Efficient and Accurate Numerical Simulations of Galaxies using Task-based Parallelism and Application to Dwarf Galaxies

Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences

Traversing Time Dependent Light Fields for Daylight Glare Evaluation

The Food Recognition Benchmark: Using Deep Learning to Recognize Food in Images

Random flip-flop: adding quantum randomness to digital circuits for improved cyber security, artificial intelligence and more

A Structured Dictionary Perspective on Implicit Neural Representations

Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models