Publications

Adrián Javaloy, Pablo Sanchez-Martin, Isabel Valera (2023). Causal normalizing flows: from theory to practice. NeurIPS.

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Adrián Javaloy, Pablo Sanchez-Martin, Amit Levi, Isabel Valera (2023). Learnable Graph Convolutional Attention Networks. ICLR.

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Adrián Javaloy, Maryam Meghdadi, Isabel Valera (2022). Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization. ICML.

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Adrián Javaloy, Maryam Meghdadi, Isabel Valera (2021). Boosting heterogeneous VAEs via multi-objective optimization. YMIW workshop.

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Adrián Javaloy, Isabel Valera (2021). RotoGrad: Gradient Homogenization in Multitask Learning. ICLR.

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Luigi Gresele, Giancarlo Fissore, Adrián Javaloy, Bernhard Schölkopf, Aapo Hyvarinen (2020). Relative gradient optimization of the Jacobian term in unsupervised deep learning. NeurIPS.

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Adrián Javaloy, Isabel Valera (2020). Lipschitz standardization for multivariate learning.

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Adrián Javaloy, Gines García Mateos (2020). Preliminary Results on Different Text Processing Tasks Using Encoder-Decoder Networks and the Causal Feature Extractor. MDPI.

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Adrián Javaloy, Gines García Mateos (2020). Text Normalization Using Encoder–Decoder Networks Based on the Causal Feature Extractor. MDPI.

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