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Leveraging topology, geometry, and symmetries for efficient Machine Learning

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Leveraging topology, geometry, and symmetries for efficient Machine Learning

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Chat with Graph Search

Discrete Time Analysis of Phase Detector Linear Range Extension in Sub-Sampling PLL

On the Relationship between Self-Attention and Convolutional Layers

Artificial Neural Networks for Impact Position Detection in Haptic Surfaces

Efficiently Learning Fourier Sparse Set Functions

Learning embeddings: efficient algorithms and applications

Learning embeddings: efficient algorithms and applications

Deep convolutional neural networks for estimating porous material parameters with ultrasound tomography

The committee machine: Computational to statistical gaps in learning a two-layers neural network

Theory of representation learning in cortical neural networks

Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks

Discrete Time Analysis of Phase Detector Linear Range Extension in Sub-Sampling PLL

Learning embeddings: efficient algorithms and applications

Learning embeddings: efficient algorithms and applications

On the Relationship between Self-Attention and Convolutional Layers

Efficiently Learning Fourier Sparse Set Functions

Theory of representation learning in cortical neural networks

Deep convolutional neural networks for estimating porous material parameters with ultrasound tomography

Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks

The committee machine: Computational to statistical gaps in learning a two-layers neural network

Artificial Neural Networks for Impact Position Detection in Haptic Surfaces