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Neural architecture search
Related publications (159)
Robust NAS under adversarial training: benchmark, theory, and beyond
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Recent developments in neural architecture search (NAS) emphasize the significance of considering robust architectures against malicious data. However, there is a notable absence of benchmark evaluations and theoretical guarantees for searching these robus ...
2024Aggregating Spatial and Photometric Context for Photometric Stereo
Photometric stereo, a computer vision technique for estimating the 3D shape of objects through images captured under varying illumination conditions, has been a topic of research for nearly four decades. In its general formulation, photometric stereo is an ...
EPFL2024Coronal jets identification using Deep Learning as Image and Video Object Detection
This report presents a study on the development and application of a Region-based Convolutional Neural Network, Faster RCNN and a more complex one, TransVOD, to locate solar coronal jets using data from the Solar Dynamic Observatory (SDO). The study focus ...
2024ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees
Daniel Gatica-Perez, Sina Sajadmanesh
Graph Neural Networks (GNNs) have become a popular tool for learning on graphs, but their widespread use raises privacy concerns as graph data can contain personal or sensitive information. Differentially private GNN models have been recently proposed to p ...
Assoc Computing Machinery2024Sparse autoregressive neural networks for classical spin systems
Giuseppe Carleo, Dian Wu, Indaco Biazzo
Efficient sampling and approximation of Boltzmann distributions involving large sets of binary variables, or spins, are pivotal in diverse scientific fields even beyond physics. Recent advances in generative neural networks have significantly impacted this ...
Iop Publishing Ltd2024