Reference sparse coding implementations for efficient learning and inference.

Analyze Spectrum of diffusion operator and eigen states

Amortized inference for ab initio heterogeneous cryo-EM reconstruction

Gaussian Process Models to Estimate Bethesda Units

A simple tool to find the Gabor filter that maximizes the output of your neuron model

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

Latent Variable Models for Neural Activity

CNN Neural System Identification Model

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018