Daniel Kramer

Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series

Empirically observed time series in physics, biology, or medicine, are commonly generated by some underlying dynamical system (DS) which is the target of scientific interest. There is an...

Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces

Decoding Kinematics from Human Parietal Cortex using Neural Networks

Surf's up: the making of an animated documentary

From mocap to movie: the making of "The Polar Express"

Making waves for Surf's Up

Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series