arranger1044

Associate Professor in Machine Learning at the University of Edinburgh | Previously @ucla @UCLA-StarAI @probabilistic-learning @EmpiricalInference @MPI-IS

Edinburgh, UK

Pinned Repositories

awesome-spn
A structured list of resources about Sum-Product Networks (SPNs)
250 22 1939
DEBD
A collection of commonly used datasets as benchmarks for density estimation in MaLe
Language:Python17 3 09
iSoul
A branch of the old iSoul project, a soulseek client for Mac OS X.
Language:C73 11 4515
probabilistic-circuits
A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
Language:CSS45 4 07
SFCM
Spatial Fuzzy C-Means in ImageJ. A variant of the Fuzzy C-Means algorithm for color image segmentation that uses the spatial information computed in the neighborhood of each pixel
Language:Java9 3 06
spae
Code and supplemental material for "Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks"
Language:Python9 2 01
spyn
Sum-Product Network learning routines in python
Language:Python26 4 04
spyn-repr
Code for representation learning experiments with Sum-Product Networks
Language:Python9 2 03
SPFlow
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
Language:Python281 18 9680
ProbabilisticCircuits.jl
Probabilistic Circuits from the Juice library
Language:Julia103 7 6010

arranger1044's Repositories

arranger1044/awesome-spn
A structured list of resources about Sum-Product Networks (SPNs)
250 22 1939
arranger1044/probabilistic-circuits
A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
Language:CSS45 4 07
arranger1044/DEBD
A collection of commonly used datasets as benchmarks for density estimation in MaLe
Language:Python17 3 09
arranger1044/spae
Code and supplemental material for "Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks"
Language:Python9 2 01
arranger1044/adv-prob-mod-24
Mini site for the "Advanced probabilistic modeling: from generative to neuro-symbolic AI" course for PhD students at the Unvesity of Trento 23/24
8 1 0
arranger1044/spinaceto-beamer-theme
Spinaceto is a minimalistic beamer theme with a typographic accent
Language:TeX6 1 0
arranger1044/enzitetobeamertheme
enziteto a minimalistic beamer them with a typographic accent
Language:TeX5 4 13
arranger1044/referomnia
Language:TeX3 4 01
arranger1044/aaai19-abda-presgari
Latex sources for the slides for "Automatic Bayesian Density Analisys" accepted as oral at AAAI 2019
Language:TeX1 3 0
arranger1044/vae_vampprior
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
Language:Python1 2 0
arranger1044/C-HMCNN
Code for paper: "Coherent Hierarchical Multi-Label Classification Networks"
Language:Python1 0
arranger1044/CSrankings
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Language:Python1 0
arranger1044/DataTypes
Automatic Discovery of the Statistical Types of Variables in a Dataset
Language:C++2 0
arranger1044/ecml16_postgari
beamer source code for ECML-PKDD 2016 Doctoral Consortium poster
Language:TeX3 0
arranger1044/ecml16_presgari
beamer source code for ECML-PKDD 2016 Doctoral Consortium presentation
Language:TeX3 0
arranger1044/ecml17-postgari
Latex sources of my poster for "Fast and Accurate Density Estimation with Extremely Randomized Cutset Networks" at the main track of ECML-PKDD 2017
Language:TeX2 0
arranger1044/ecml17-presgari
Latex sources of my presentation for "Fast and Accurate Density Estimation with Extremely Randomized Cutset Networks" at the main track of ECML-PKDD 2017
Language:TeX2 0
arranger1044/ecml2015-postgari
Latex sources of my poster for "Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning" at the main track of ECML-PKDD 2015
Language:TeX2 0
arranger1044/ecml2015-presgari
Latex sources of my presentation for "Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning" at the main track of ECML-PKDD 2015
Language:TeX2 0
arranger1044/EinsumNetworks-1
Language:Python1 0
arranger1044/emacs.d
Configuration for my custom version of emacs
Language:Emacs Lisp2 0
arranger1044/grid-boilerplate
Some boilerplate code for distilling grid search experiments in python and Julia
Language:Python2 0
arranger1044/MADE
MADE: Masked Autoencoder for Distribution Estimation
Language:Python2 0
arranger1044/mldm.it-17-presgari
Latex sources of my presentation for "Encoding and Decoding Representations with Sum-Product Networks" at MLDM.it 17 Workshop
Language:TeX2 0
arranger1044/pixel-cnn-pp
Pytorch Implementation of OpenAI's PixelCNN++
Language:Python1 0
arranger1044/scripting-manent
verba volant, bash scripting manent
Language:Shell1 0
arranger1044/SPN
Language:C++2 01
arranger1044/tao-inria-presgari
Latex sources of my presentation "Learning and Exploiting Deep Tractable Probabilistic Models" at TAO team @ INRIA - Université Paris-Sud
Language:TeX2 01
arranger1044/TiSeLaC-ECMLPKDD17
TiSeLaC ECML/PKDD 2017 discovery challenge solution
Language:Common Lisp2 0
arranger1044/trac-exp-neurips19-poster
Language:TeX2 0