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Real-time DCT Learning-based Reconstruction of Neural Signals

Modeling Facial Geometry using Compositional VAEs

Modeling Facial Geometry using Compositional VAEs

A Deep Learning Approach to Ultrasound Image Recovery

Applications of Approximate Learning and Inference for Probabilistic Models

Color Representation in Deep Neural Networks

EXPLOITING SEQUENCE INFORMATION FOR TEXT-DEPENDENT SPEAKER VERIFICATION

Hybrid Neural Networks for Learning the Trend in Time Series

Learning the weight matrix for sparsity averaging in compressive imaging

Subspace Regularized Dynamic Time Warping for Spoken Query Detection

EXPLOITING SEQUENCE INFORMATION FOR TEXT-DEPENDENT SPEAKER VERIFICATION

Applications of Approximate Learning and Inference for Probabilistic Models

Modeling Facial Geometry using Compositional VAEs

Modeling Facial Geometry using Compositional VAEs

Color Representation in Deep Neural Networks

Subspace Regularized Dynamic Time Warping for Spoken Query Detection

Real-time DCT Learning-based Reconstruction of Neural Signals

Learning the weight matrix for sparsity averaging in compressive imaging

A Deep Learning Approach to Ultrasound Image Recovery

Hybrid Neural Networks for Learning the Trend in Time Series