An Embarrassingly Simple Way to Optimize Orthogonal Matrices at Scale.

Adrián Javaloy

Adrián Javaloy Antonio Vergari An Embarrassingly Simple Way to Optimize Orthogonal Matrices at Scale. 2026 February abs/2602.14656 CoRR https://doi.org/10.48550/arXiv.2602.14656 db/journals/corr/corr2602.html#abs-2602-14656 streams/journals/corr

Adrián Javaloy Antonio Vergari Isabel Valera COPA: Comparing the Incomparable to Explore the Pareto Front. 2025 March abs/2503.14321 CoRR https://doi.org/10.48550/arXiv.2503.14321 db/journals/corr/corr2503.html#abs-2503-14321 streams/journals/corr

Alejandro Almodóvar Adrián Javaloy Juan Parras Santiago Zazo Isabel Valera DeCaFlow: A Deconfounding Causal Generative Model. 2025 March abs/2503.15114 CoRR https://doi.org/10.48550/arXiv.2503.15114 db/journals/corr/corr2503.html#abs-2503-15114 streams/journals/corr

Lorenzo Loconte Adrián Javaloy Antonio Vergari How to Square Tensor Networks and Circuits Without Squaring Them. 2025 December abs/2512.17090 CoRR https://doi.org/10.48550/arXiv.2512.17090 db/journals/corr/corr2512.html#abs-2512-17090 streams/journals/corr

Adrián Javaloy Pablo Sánchez-Martín Amit Levi Isabel Valera Learnable Graph Convolutional Attention Networks. 2023 ICLR https://openreview.net/forum?id=WsUMeHPo-2 conf/iclr/2023 db/conf/iclr/iclr2023.html#JavaloySLV23 Adrián Javaloy Pablo Sánchez-Martín Isabel Valera Causal normalizing flows: from theory to practice. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/b8402301e7f06bdc97a31bfaa653dc32-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#JavaloySV23

Adrián Javaloy Pablo Sánchez-Martín Isabel Valera Causal normalizing flows: from theory to practice. 2023 abs/2306.05415 CoRR https://doi.org/10.48550/arXiv.2306.05415 db/journals/corr/corr2306.html#abs-2306-05415

Adrián Javaloy Isabel Valera RotoGrad: Gradient Homogenization in Multitask Learning. 2022 ICLR https://openreview.net/forum?id=T8wHz4rnuGL conf/iclr/2022 db/conf/iclr/iclr2022.html#JavaloyV22 Adrián Javaloy Maryam Meghdadi Isabel Valera Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization. 9938-9964 2022 ICML https://proceedings.mlr.press/v162/javaloy22a.html conf/icml/2022 db/conf/icml/icml2022.html#JavaloyMV22

Adrián Javaloy Maryam Meghdadi Isabel Valera Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization. 2022 abs/2206.04496 CoRR https://doi.org/10.48550/arXiv.2206.04496 db/journals/corr/corr2206.html#abs-2206-04496

Adrián Javaloy Pablo Sánchez-Martín Amit Levi Isabel Valera Learnable Graph Convolutional Attention Networks. 2022 abs/2211.11853 CoRR https://doi.org/10.48550/arXiv.2211.11853 db/journals/corr/corr2211.html#abs-2211-11853

Adrián Javaloy Isabel Valera Rotograd: Dynamic Gradient Homogenization for Multi-Task Learning. 2021 abs/2103.02631 CoRR https://arxiv.org/abs/2103.02631 db/journals/corr/corr2103.html#abs-2103-02631

Luigi Gresele Giancarlo Fissore Adrián Javaloy Bernhard Schölkopf Aapo Hyvärinen Relative gradient optimization of the Jacobian term in unsupervised deep learning. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/c10f48884c9c7fdbd9a7959c59eebea8-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#GreseleFJSH20

Adrián Javaloy Isabel Valera Lipschitz standardization for robust multivariate learning. 2020 abs/2002.11369 CoRR https://arxiv.org/abs/2002.11369 db/journals/corr/corr2002.html#abs-2002-11369

Luigi Gresele Giancarlo Fissore Adrián Javaloy Bernhard Schölkopf Aapo Hyvärinen Relative gradient optimization of the Jacobian term in unsupervised deep learning. 2020 abs/2006.15090 CoRR https://arxiv.org/abs/2006.15090 db/journals/corr/corr2006.html#abs-2006-15090

Alejandro Almodóvar Giancarlo Fissore Luigi Gresele Aapo Hyvärinen Amit Levi Lorenzo Loconte Maryam Meghdadi Juan Parras Pablo Sánchez-Martín Bernhard Schölkopf Isabel Valera Antonio Vergari Santiago Zazo