SIPLab

APM-LR

Approximate Posterior Matching for Logistic Regression (APM-LR). Project code for "Feedback Coding for Active Learning" (AISTATS 2021).

cleo

Closed-Loop, Electrophysiology, and Optophysiology experiment simulation testbed for mesoscale neuroscience

generative-causal-explanations

Code for "Generative causal explanations of black-box classifiers"

hiwa-matlab

Hierarchical Wasserstein Alignment

infotuple

Code supplement for "Active Ordinal Querying for Tuplewise Similarity Learning", appearing in AAAI 2020

manifold-autoencoder-extended

Manifold_Autoencoder

Code for "Representing Closed Transformation Paths in Encoded Network Latent Space"

pairsearch

Project code for "Active Embedding Search via Noisy Paired Comparisons" (ICML 2019)

Spatial-Filtering-for-Sparse-Signals

Code to implement the algorithm described in the paper "Spectral super-resolution of hyperspectral imagery using re-weighted L1 spatial filtering" in IEEE GRSL (2014) by Charles and Rozell. Code by A. Charles.

VAELLS

Code for "Variational Autoencoder with Learned Latent Structure"

siplab-gt/generative-causal-explanations

Code for "Generative causal explanations of black-box classifiers"

siplab-gt/VAELLS

Code for "Variational Autoencoder with Learned Latent Structure"

siplab-gt/cleo

Closed-Loop, Electrophysiology, and Optophysiology experiment simulation testbed for mesoscale neuroscience

siplab-gt/hiwa-matlab

Hierarchical Wasserstein Alignment

siplab-gt/pairsearch

Project code for "Active Embedding Search via Noisy Paired Comparisons" (ICML 2019)

siplab-gt/infotuple

Code supplement for "Active Ordinal Querying for Tuplewise Similarity Learning", appearing in AAAI 2020

siplab-gt/APM-LR

Approximate Posterior Matching for Logistic Regression (APM-LR). Project code for "Feedback Coding for Active Learning" (AISTATS 2021).

siplab-gt/manifold-autoencoder-extended

siplab-gt/Manifold_Autoencoder

Code for "Representing Closed Transformation Paths in Encoded Network Latent Space"

siplab-gt/Spatial-Filtering-for-Sparse-Signals

Code to implement the algorithm described in the paper "Spectral super-resolution of hyperspectral imagery using re-weighted L1 spatial filtering" in IEEE GRSL (2014) by Charles and Rozell. Code by A. Charles.

siplab-gt/DIC-Cell-Simulator

Code to implement the simulation framework described in the manuscript "Cell Membrane Tracking in Living Brain Tissue using Differential Interference Contrast Microscopy" by Lee, Kolb, Forest and Rozell. Code by J. Lee.

siplab-gt/localized-sparse-coding

Sparse dictionary learning with biologically plausible compression matrices

siplab-gt/probabilistic-decomposed-linear-dynamical-systems

Probabilistic Decomposed Linear Dynamical Systems

siplab-gt/tklfp

Lightweight package for computing the kernel LFP approximation from Teleńczuk et al., 2020

siplab-gt/Tracking-sparse-signals-via-L1-filtering

Code to produce the results in the paper "Discrete and Continuous-time Soft-Thresholding with Dynamic Inputs" by Balavoine, Rozell and Romberg. Code by A. Balavoine.

siplab-gt/UOT-regularization

Code for "Unbalanced Optimal Transport Regularization for Imaging Problems" by Lee, Bertrand, and Rozell.

siplab-gt/Decomposed-Linear-Dynamical-Systems

This is code for the paper "Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics" (Mudrik, 2022)

siplab-gt/wslfp

Lightweight package for computing the Weighted Sum of synaptic currents LFP proxy from Mazzoni, Lindén et al., 2015

siplab-gt/.github

siplab-gt/cleo-hpc-experiments

siplab-gt/cleo-traveling-wave-rejection

siplab-gt/cleo-v1-plasticity-expt

Code for the V1 plasticity disruption experiment in the Cleo publication

siplab-gt/Convergence-speed-of-a-dynamical-system-performing-sparse-coding

Code to produce the results in the paper "Convergence Speed of a Dynamical System for Sparse Recovery" in IEEE Trans. Signal Processing (2013) by Balavoine, Rozell and Romberg. Code by A. Balavoine.

siplab-gt/Dynamic-filtering-for-sparse-signals

Code to implement the algorithm described in the paper "Dynamic filtering of time-varying sparse signals via L1 minimization"

siplab-gt/emd-df

MATLAB implementation of the Earth Mover's Distance Dynamic Filtering (EMD-DF) algorithm from Bertrand et al., 2018

siplab-gt/Inhibitory-interneuron-models-via-convex-optimization

Code to produce the results in the paper "Modeling biologically realistic inhibitory interneurons in sensory coding models" in PLoS Computational Biology (2015) by Zhu and Rozell. Code by M. Zhu.

siplab-gt/Sparse-Coding-Dictionary-Learning-Library

Code to implement the sparse coding dictionary learning algorithm described in "Emergence of simple-cell receptive field properties by learning a sparse code for natural images" in Nature (1996) by Olshausen and Field.

siplab-gt/uot-irst

Implementation of unbalanced optimal transport algorithms for infrared search and track from Bertrand et al., 2020