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Working from home
PhD student at the University of Toronto. Working on scalable Bayesian methods for time-dependent problems.
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University of Toronto
- Toronto, Canada
Highlights
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arlatentsde
arlatentsde PublicAccompanying code for the paper "Amortized reparametrization: efficient and scalable variational inference for latent SDEs
Python 8
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weakformghnn
weakformghnn PublicAccompanying code for "Weak form generalized Hamiltonian learning"
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variationalsparsebayes
variationalsparsebayes PublicA Pytorch library for stochastic variational inference with sparsity inducing priors.
Python 3
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gradoptorch
gradoptorch PublicClassical gradient based optimization with line-search in PyTorch
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