Search Results - "Carulla, Mateo Rojas"

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    Getting personal with epigenetics: towards individual-specific epigenomic imputation with machine learning by Hawkins-Hooker, Alex, Visonà, Giovanni, Narendra, Tanmayee, Rojas-Carulla, Mateo, Schölkopf, Bernhard, Schweikert, Gabriele

    Published in Nature communications (07-08-2023)
    “…Epigenetic modifications are dynamic mechanisms involved in the regulation of gene expression. Unlike the DNA sequence, epigenetic patterns vary not only…”
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    DeepMAsED: evaluating the quality of metagenomic assemblies by Mineeva, Olga, Rojas-Carulla, Mateo, Ley, Ruth E, Schölkopf, Bernhard, Youngblut, Nicholas D

    Published in Bioinformatics (01-05-2020)
    “…Abstract Motivation Methodological advances in metagenome assembly are rapidly increasing in the number of published metagenome assemblies. However,…”
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    Learning Independent Causal Mechanisms by Parascandolo, Giambattista, Kilbertus, Niki, Rojas-Carulla, Mateo, Schölkopf, Bernhard

    Published 04-12-2017
    “…Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4036-4044, 2018 Statistical learning relies upon data sampled from a…”
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    GeNet: Deep Representations for Metagenomics by Rojas-Carulla, Mateo, Tolstikhin, Ilya, Luque, Guillermo, Youngblut, Nicholas, Ley, Ruth, Schölkopf, Bernhard

    Published 30-01-2019
    “…We introduce GeNet, a method for shotgun metagenomic classification from raw DNA sequences that exploits the known hierarchical structure between labels for…”
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    Causal Discovery Using Proxy Variables by Rojas-Carulla, Mateo, Baroni, Marco, Lopez-Paz, David

    Published 23-02-2017
    “…Discovering causal relations is fundamental to reasoning and intelligence. In particular, observational causal discovery algorithms estimate the cause-effect…”
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    Avoiding Discrimination through Causal Reasoning by Kilbertus, Niki, Rojas-Carulla, Mateo, Parascandolo, Giambattista, Hardt, Moritz, Janzing, Dominik, Schölkopf, Bernhard

    Published 08-06-2017
    “…Advances in Neural Information Processing Systems 30, 2017, p. 656--666 Recent work on fairness in machine learning has focused on various statistical…”
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    Discriminative k-shot learning using probabilistic models by Bauer, Matthias, Rojas-Carulla, Mateo, Świątkowski, Jakub Bartłomiej, Schölkopf, Bernhard, Turner, Richard E

    Published 01-06-2017
    “…This paper introduces a probabilistic framework for k-shot image classification. The goal is to generalise from an initial large-scale classification task to a…”
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    Invariant Models for Causal Transfer Learning by Rojas-Carulla, Mateo, Schölkopf, Bernhard, Turner, Richard, Peters, Jonas

    Published 19-07-2015
    “…Journal of Machine Learning Research. 19 (2018) Methods of transfer learning try to combine knowledge from several related tasks (or domains) to improve…”
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