Search Results for author: Trung Trinh

Found 3 papers, 3 papers with code

Tackling covariate shift with node-based Bayesian neural networks

1 code implementation6 Jun 2022 Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski

In this paper, we interpret these latent noise variables as implicit representations of simple and domain-agnostic data perturbations during training, producing BNNs that perform well under covariate shift due to input corruptions.

Image Classification

Scalable Bayesian neural networks by layer-wise input augmentation

1 code implementation26 Oct 2020 Trung Trinh, Samuel Kaski, Markus Heinonen

We introduce implicit Bayesian neural networks, a simple and scalable approach for uncertainty representation in deep learning.

Image Classification

Nested Variational Autoencoder for Topic Modeling on Microtexts with Word Vectors

1 code implementation1 May 2019 Trung Trinh, Tho Quan, Trung Mai

The objective of our research is to create a topic model that can achieve great performances on microtexts while requiring a small runtime for scalability to large datasets.

Topic Models Word Embeddings

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