Vincent Fortuin

SOM-VAE: Interpretable Discrete Representation Learning on Time Series

Vincent Fortuin, Matthias Hüser, Francesco Locatello et al. · arXiv (Cornell University) · 2018 · 60 citations · Full text

Engineering, Machine Learning, Data Science +13

MGP-AttTCN: An interpretable machine learning model for the prediction of sepsis

Margherita Rosnati, Vincent Fortuin · PLoS ONE · 2021 · 48 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +21

PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees

Jonas Rothfuss, Vincent Fortuin, Martin Josifoski et al. · Repository for Publications and Research Data (ETH Zurich) · 2020 · 39 citations · Full text

Artificial Intelligence, Hyperparameter Estimation, Engineering +11

GP-VAE: Deep Probabilistic Time Series Imputation

Vincent Fortuin, Dmitry Baranchuk, Gunnar Rätsch et al. · arXiv (Cornell University) · 2019 · 29 citations · Full text

Latent Modeling, Engineering, Machine Learning +11

SOM-VAE: Interpretable Discrete Representation Learning on Time Series

Vincent Fortuin, Matthias Hüser, Francesco Locatello et al. · arXiv (Cornell University) · 2018 · 28 citations · Full text

Engineering, Machine Learning, Data Science +13