Tumor Phylogeny Topology Inference via Deep Learning

bioRxiv: The preprint server for biology - 0 via Local CrossRef

Keywords:

bioRxiv: The preprint server for biology - 0 via Local CrossRef

Keywords:

Estimating Gradients for Discrete Random Variables by Sampling without Replacement

International Conference on Learning Representations - 2020 via Local Bibsonomy

Keywords: readings, optimization, sampling

International Conference on Learning Representations - 2020 via Local Bibsonomy

Keywords: readings, optimization, sampling

Generalizing Tree Probability Estimation via Bayesian Networks

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

19 dubious ways to compute the marginal likelihood of a phylogenetic tree topology

arXiv e-Print archive - 2018 via Local arXiv

Keywords: q-bio.PE, stat.CO

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arXiv e-Print archive - 2018 via Local arXiv

Keywords: q-bio.PE, stat.CO

Rao-Blackwellized Stochastic Gradients for Discrete Distributions

arXiv e-Print archive - 2018 via Local arXiv

Keywords: stat.ML, cs.LG

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arXiv e-Print archive - 2018 via Local arXiv

Keywords: stat.ML, cs.LG

Reparameterizing the Birkhoff Polytope for Variational Permutation Inference

arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML

Semi-Supervised Classification with Graph Convolutional Networks

arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.LG, stat.ML

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arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.LG, stat.ML

The Shattered Gradients Problem: If resnets are the answer, then what is the question?

International Conference on Machine Learning - 2017 via Local Bibsonomy

Keywords: dblp

International Conference on Machine Learning - 2017 via Local Bibsonomy

Keywords: dblp

The Shattered Gradients Problem: If resnets are the answer, then what is the question?

arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.NE, cs.LG, stat.ML

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.NE, cs.LG, stat.ML

Bayesian Compression for Deep Learning

arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.LG

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.LG

Variational Dropout Sparsifies Deep Neural Networks

arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.LG

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML, cs.LG

A Probabilistic Framework for Deep Learning

arXiv e-Print archive - 2016 via Local arXiv

Keywords: stat.ML, cs.LG, cs.NE

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arXiv e-Print archive - 2016 via Local arXiv

Keywords: stat.ML, cs.LG, cs.NE

The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.LG, stat.ML

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arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.LG, stat.ML

Categorical Reparameterization with Gumbel-Softmax

arXiv e-Print archive - 2016 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2016 via Local Bibsonomy

Keywords: dblp

Disentangling factors of variation in deep representations using adversarial training

arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.LG, stat.ML

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arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.LG, stat.ML

Improved Techniques for Training GANs

arXiv e-Print archive - 2016 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2016 via Local Bibsonomy

Keywords: dblp

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