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Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models


Nov 11, 2022
Kumud Lakara, Matias Valdenegro-Toro

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* 3.5 pages, with appendix. Medical Imaging Meets NeurIPS Workshop 2022 Camera Ready 

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A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation


Nov 11, 2022
Lokesh Veeramacheneni, Matias Valdenegro-Toro

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* 4 pages, Robot Learning Workshop @ NeurIPS 2022 

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Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression


Nov 11, 2022
Levente Foldesi, Matias Valdenegro-Toro

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* 5 pages, with appendix. RobustSeq @ NeurIPS 2022 Camera Ready 

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Machine Learning Students Overfit to Overfitting


Sep 07, 2022
Matias Valdenegro-Toro, Matthia Sabatelli

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* 5 pages, with appendix, TeachML workshop @ ECML 2022 

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Self-supervised Learning for Sonar Image Classification


Apr 20, 2022
Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida, Matias Valdenegro-Toro

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* 8 pages, 10 figures, with supplementary. LatinX in CV Workshop @ CVPR 2022 Camera Ready 

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A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement


Apr 20, 2022
Matias Valdenegro-Toro, Daniel Saromo

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* 8 pages, 12 figures, with supplementary. LatinX in CV Workshop @ CVPR 2022 Camera Ready 

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Feature Disentanglement of Robot Trajectories


Dec 06, 2021
Matias Valdenegro-Toro, Daniel Harnack, Hendrik Wöhrle

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* 5 pages, 3 figures, 1 table, with supplementary 

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Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning


Dec 05, 2021
Aaqib Parvez Mohammed, Matias Valdenegro-Toro

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* 9 pages, 5 figures, 5 tables, Bayesian Deep Learning Workshop @ NeurIPS 2021 

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Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings


Nov 18, 2021
Matias Valdenegro-Toro

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* 7 pages, 3 figures, with supplementary material. LatinX in AI Research Workshop @ NeurIPS 2021 

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The VVAD-LRS3 Dataset for Visual Voice Activity Detection


Sep 28, 2021
Adrian Lubitz, Matias Valdenegro-Toro, Frank Kirchner

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