RMAML: Riemannian meta-learning with orthogonality constraints

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RMAML: Riemannian meta-learning with orthogonality constraints

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On the number of regions of piecewise linear neural networks

Aggregating Spatial and Photometric Context for Photometric Stereo

Optimizing Dynamic Aperture Studies with Active Learning

Partial discharge localization in power transformer tanks using machine learning methods

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Robust NAS under adversarial training: benchmark, theory, and beyond

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M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems

Residual-based attention in physics-informed neural networks

Predicting the long-term collective behaviour of fish pairs with deep learning

Co-Design Optimisation of Morphing Topology and Control of Winged Drones