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Neural ADMIXTURE for rapid genomic clustering

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Neural ADMIXTURE for rapid genomic clustering

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Deep Neural Networks With Trainable Activations and Controlled Lipschitz Constant

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

Biologically plausible deep learning – but how far can we go with shallow networks?

Pretraining boosts out-of-domain robustness for pose estimation

Coherent rendering of virtual smile previews with fast neural style transfer

Every Smile is Unique: Landmark-Guided Diverse Smile Generation

Real-time DCT Learning-based Reconstruction of Neural Signals

Modeling Facial Geometry using Compositional VAEs

Modeling Facial Geometry using Compositional VAEs

Subspace Regularized Dynamic Time Warping for Spoken Query Detection

Subspace Regularized Dynamic Time Warping for Spoken Query Detection

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

Biologically plausible deep learning – but how far can we go with shallow networks?

Real-time DCT Learning-based Reconstruction of Neural Signals

Every Smile is Unique: Landmark-Guided Diverse Smile Generation

Coherent rendering of virtual smile previews with fast neural style transfer

Modeling Facial Geometry using Compositional VAEs

Modeling Facial Geometry using Compositional VAEs

Deep Neural Networks With Trainable Activations and Controlled Lipschitz Constant

Pretraining boosts out-of-domain robustness for pose estimation