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

Lipschitz standardization for robust multivariate learning. - Adrián Javaloy; Isabel Valera (CoRR, 2020)

Rotograd: Dynamic Gradient Homogenization for Multi-Task Learning. - Adrián Javaloy; Isabel Valera (CoRR, 2021)

RotoGrad: Gradient Homogenization in Multitask Learning. - Adrián Javaloy; Isabel Valera (ICLR, 2022)

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

Learnable Graph Convolutional Attention Networks. - Adrián Javaloy; Pablo Sánchez-Martín; Amit Levi; Isabel Valera (ICLR, 2023)

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

COPA: Comparing the Incomparable to Explore the Pareto Front. - Adrián Javaloy; Antonio Vergari; Isabel Valera (CoRR, 2025)

DeCaFlow: A Deconfounding Causal Generative Model. - Alejandro Almodóvar; Adrián Javaloy; Juan Parras; Santiago Zazo; Isabel Valera (CoRR, 2025)