Search Results for author: Misha Glazunov

Found 3 papers, 2 papers with code

Vacant Holes for Unsupervised Detection of the Outliers in Compact Latent Representation

no code implementations16 Jun 2023 Misha Glazunov, Apostolis Zarras

Second, we enforce an accommodating topological property to the image of the deep neural mapping to the latent space: compactness to alleviate the flaw and obtain the means to provably bound the image within the determined limits by squeezing both inliers and outliers together.

Do Bayesian Variational Autoencoders Know What They Don't Know?

1 code implementation29 Dec 2022 Misha Glazunov, Apostolis Zarras

The problem of detecting the Out-of-Distribution (OoD) inputs is of paramount importance for Deep Neural Networks.

Bayesian Inference Out of Distribution (OOD) Detection

#MeTooMaastricht: Building a chatbot to assist survivors of sexual harassment

1 code implementation6 Sep 2019 Tobias Bauer, Emre Devrim, Misha Glazunov, William Lopez Jaramillo, Balaganesh Mohan, Gerasimos Spanakis

Inspired by the recent social movement of #MeToo, we are building a chatbot to assist survivors of sexual harassment cases (designed for the city of Maastricht but can easily be extended).

Chatbot named-entity-recognition +5

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