Autoencoding any Data through Kernel Autoencoders

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Autoencoding any Data through Kernel Autoencoders

28 May 2018

Pierre Laforgue

Florence dÁlché-Buc

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Papers citing "Autoencoding any Data through Kernel Autoencoders"

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Title
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent Mohit Kumar Alexander Valentinitsch Magdalena Fuchs Mathias Brucker Juliana Bowles Adnan Husaković Ali Abbas Bernhard A. Moser 140 0 0 05 Jul 2024
Spectral Truncation Kernels: Noncommutativity in $C^*$ -algebraic Kernel Machines Yuka Hashimoto Ayoub Hafid Masahiro Ikeda Hachem Kadri 187 2 0 28 May 2024
$C^*$ -Algebraic Machine Learning: Moving in a New Direction Yuka Hashimoto Masahiro Ikeda Hachem Kadri 138 2 0 04 Feb 2024
Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers F. Tonin Panagiotis Patrinos Johan A. K. Suykens 79 0 0 12 Jun 2023
Deep Learning with Kernels through RKHM and the Perron-Frobenius Operator Yuka Hashimoto Masahiro Ikeda Hachem Kadri 158 11 0 23 May 2023
Deep Kernel Principal Component Analysis for Multi-level Feature Learning F. Tonin Qinghua Tao Panagiotis Patrinos Johan A. K. Suykens 78 30 0 22 Feb 2023
A Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data Padmaksha Roy 37 1 0 01 Jan 2023
Learning Output Embeddings in Structured Prediction Luc Brogat-Motte Alessandro Rudi Céline Brouard Juho Rousu Florence dÁlché-Buc BDL 110 2 0 29 Jul 2020
Proximal Mapping for Deep Regularization Mao Li Yingyi Ma Xinhua Zhang 74 3 0 14 Jun 2020
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation Hamid Jalalzai Pierre Colombo Chloé Clavel Éric Gaussier Giovanna Varni Emmanuel Vignon Anne Sabourin 124 29 0 25 Mar 2020
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses Pierre Laforgue Alex Lambert Luc Brogat-Motte Florence dÁlché-Buc 37 2 0 10 Oct 2019