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The Laplace Bridge for Bayesian Neural Networks

Easy-to-understand summary of our paper: Fast Predictive Uncertainty for Classification with Bayesian Deep Networks

Posted on November 3, 2020

What is the paper about? [Read More]
Tags: Machine Learning Laplace Bridge

Sequence Classification using Ensembles of Recurrent Generative Expert Modules

Easy-to-understand summary of a paper that we published at ESANN2020

Posted on September 12, 2020

Abstract: [Read More]
Tags: Machine Learning Inverse Classification

Inverse Classification using GANs

A summary of exploratory work on the usage of GANs for Inverse Classification

Posted on May 9, 2020

Abstract: [Read More]
Tags: Machine Learning Inverse Classification

The reproducibility crisis in Machine Learning

Posted on March 22, 2020

What is the purpose of this post? [Read More]
Tags: Machine Learning

A reproducibility ML journal

Posted on March 22, 2020

What is the purpose of this post [Read More]
Tags: Machine Learning

Using the Scattering Transform for Object Detection

This post is a summary of my second bachelor thesis (Computer Science)

Posted on October 25, 2019

Abstract: [Read More]
Tags: Machine Learning

Inverse Classification using Generative Models

This post is a summary of my first bachelor thesis (Cognitive Science)

Posted on October 20, 2019

Abstract: [Read More]
Tags: Machine Learning Inverse Classification
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Marius Hobbhahn  •  2021

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