Research scientist (s/h) at FAIR NY + collab. w/ Vector Institute. <3 Deep Learning + Information Theory. Previously, Machine Learning PhD at UoAmsterdam.
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RS FAIR NY
- Amsterdam
- @karen_ullrich
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Tutorial_BayesianCompressionForDL
Tutorial_BayesianCompressionForDL PublicA tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
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Tutorial-SoftWeightSharingForNNCompression
Tutorial-SoftWeightSharingForNNCompression PublicA tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017
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Pytorch-Backprojection
Pytorch-Backprojection PublicThis code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019
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binary-VAE
binary-VAE PublicA minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
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facebookresearch/NeuralCompression
facebookresearch/NeuralCompression PublicA collection of tools for neural compression enthusiasts.
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YannDubs/lossyless
YannDubs/lossyless PublicGeneric image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".
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