Search Results for author: Alexandra Hotti

Found 4 papers, 4 papers with code

Efficient Mixture Learning in Black-Box Variational Inference

1 code implementation11 Jun 2024 Alexandra Hotti, Oskar Kviman, Ricky Molén, Víctor Elvira, Jens Lagergren

However, currently scaling the number of mixture components can lead to a linear increase in the number of learnable parameters and a quadratic increase in inference time due to the evaluation of the evidence lower bound (ELBO).

Density Estimation Variational Inference

Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders

1 code implementation30 Sep 2022 Oskar Kviman, Ricky Molén, Alexandra Hotti, Semih Kurt, Víctor Elvira, Jens Lagergren

In this work, we also demonstrate that increasing the number of mixture components improves the latent-representation capabilities of the VAE on both image and single-cell datasets.

Variational Inference

The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models

1 code implementation3 Nov 2021 Alexandra Hotti, Riccardo Sven Risuleo, Stefan Magureanu, Aref Moradi, Jens Lagergren

To address this, we introduce the Klarna Product Page Dataset, a comprehensive and diverse collection of webpages that surpasses existing datasets in richness and variety.

Classification Language Modelling +2

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