Extending Sparse Dictionary Learning Methods for Adversarial Robustness
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Updated
Nov 12, 2023
Extending Sparse Dictionary Learning Methods for Adversarial Robustness
Supervised and Unsupervised latent space models
Lecture notes from the Computational Intelligence Lab (CIL) at ETH Zurich
Gamma Lasso Sparse Normal and Logistic Factor Analysis
My undergrad thesis
Code for Sampling of Graph Signals via Randomized Local Aggregations
Course @ NeuroSchool PhD Program in Neuroscience
Image denoising with sparse coding through K-SVD
Hand crafted features and Learned Features for classification of faces on Yale32x32 dataset. LBP, HoG, SRC, Eigenfaces, Fischerfaces used with conventional ML algorithms
Presentation slides relevant to invited and contributed talks
SPARSE + CELP lossy signal compression codecs
Sparse Matrix Library for GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
a light-weight implementation of LARS (least angle regression)
Code and material for the poster presented at SPARS
A framework to build a sparse representation of edges in images.
machine learning algorithms
A scikit-learn based implementation of Sparse-Net.
Implementations from "A New Basis for Sparse PCA" paper at https://arxiv.org/abs/2007.00596
Locally Competitive Algorithm (Sparse Approximation)
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