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

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

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Deep learning-based reduced order models in cardiac electrophysiology

Real-time, low-latency closed-loop feedback using markerless posture tracking

Real-time, low-latency closed-loop feedback using markerless posture tracking

On quantifying the quality of acoustic models in hybrid DNN-HMM ASR

Deep Learning-Based Image Classification through a Multimode Fiber in the Presence of Wavelength Drift

Efficient Proximal Mapping of the 1-path-norm of Shallow Networks

Towards neural network approaches for point cloud compression

Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures

Pedestrian Intention Prediction: A Multi-task Perspective

XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera

XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera

Deep learning-based reduced order models in cardiac electrophysiology

Deep Learning-Based Image Classification through a Multimode Fiber in the Presence of Wavelength Drift

Efficient Proximal Mapping of the 1-path-norm of Shallow Networks

Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures

On quantifying the quality of acoustic models in hybrid DNN-HMM ASR

Pedestrian Intention Prediction: A Multi-task Perspective

Real-time, low-latency closed-loop feedback using markerless posture tracking

Real-time, low-latency closed-loop feedback using markerless posture tracking

Towards neural network approaches for point cloud compression