antonio vergari (arranger1044)

arranger1044

User data from Github https://github.com/arranger1044

Location:Edinburgh, UK

Home Page:https://april-tools.github.io/

GitHub:@arranger1044

Twitter:@tetraduzione


Organizations
april-tools
probabilistic-learning

antonio vergari's repositories

awesome-spn

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

probabilistic-circuits

A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.

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DEBD

A collection of commonly used datasets as benchmarks for density estimation in MaLe

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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

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spae

Code and supplemental material for "Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks"

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spinaceto-beamer-theme

Spinaceto is a minimalistic beamer theme with a typographic accent

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aaai19-abda-presgari

Latex sources for the slides for "Automatic Bayesian Density Analisys" accepted as oral at AAAI 2019

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C-HMCNN

Code for paper: "Coherent Hierarchical Multi-Label Classification Networks"

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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.

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DataTypes

Automatic Discovery of the Statistical Types of Variables in a Dataset

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ecml16_postgari

beamer source code for ECML-PKDD 2016 Doctoral Consortium poster

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ecml16_presgari

beamer source code for ECML-PKDD 2016 Doctoral Consortium presentation

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vae_vampprior

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

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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

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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

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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

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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

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emacs.d

Configuration for my custom version of emacs

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grid-boilerplate

Some boilerplate code for distilling grid search experiments in python and Julia

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MADE

MADE: Masked Autoencoder for Distribution Estimation

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mldm.it-17-presgari

Latex sources of my presentation for "Encoding and Decoding Representations with Sum-Product Networks" at MLDM.it 17 Workshop

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pixel-cnn-pp

Pytorch Implementation of OpenAI's PixelCNN++

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rsbench

Official website for the "rsbench: A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts" benchmark paper

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scripting-manent

verba volant, bash scripting manent

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tao-inria-presgari

Latex sources of my presentation "Learning and Exploiting Deep Tractable Probabilistic Models" at TAO team @ INRIA - Université Paris-Sud

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TiSeLaC-ECMLPKDD17

TiSeLaC ECML/PKDD 2017 discovery challenge solution

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