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Hi there

I am an Academy of Finland postdoctoral research at Aalto University working on probabilistic machine learning. My research focuses on the intersection of flexible Bayesian modelling families (e.g., Gaussian processes, Bayesian neural networks, Polya trees, ...) and probabilistic circuits aka deep tractable models. I am particularly interested in modelling families that are flexible (nonparametric), but allow certain qunatities (e.g., marginal, posterior) to be computed tractably or ways to obtain tractable surrogates that are approximatly equal to the model of interest.

For details, see my website and my Google scholar profile.

In addition to my research, I am part of the open-source project Turing.jl and a keen supporter of dynamic and probabilistic programming.

Martin Trapp's Projects

awesome-spn icon awesome-spn

A structured list of resources about Sum-Product Networks (SPNs)

bnp.jl icon bnp.jl

Bayesian nonparametrics in Julia

distributions.jl icon distributions.jl

A Julia package for probability distributions and associated functions.

edward icon edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

eurotokenizer.jl icon eurotokenizer.jl

Tokenizer for (DE, EN, ES, FR, IT, and PT) based on the Europarl preprocessing tools

gitignore icon gitignore

A collection of useful .gitignore templates

gparml icon gparml

Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.

gpclust icon gpclust

Clustering time series using Gaussian processes and Variational Bayes.

hsic icon hsic

Hilbert-Schmidt Independence Criterion

ibp.jl icon ibp.jl

Julia implementation of India Buffet Process (linear-Gaussian infinite latent feature model)

knet.jl icon knet.jl

Koç University deep learning framework.

markdown-licenses icon markdown-licenses

A collection of open source licenses in Markdown format. Contributions are always welcome!

microbedmm icon microbedmm

Automatically exported from code.google.com/p/microbedmm

mlbase.jl icon mlbase.jl

A set of functions to support the development of machine learning algorithms

multivariatestats.jl icon multivariatestats.jl

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

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