Adrián Javaloy

According to our database, Adrián Javaloy authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Sobering Look at Tabular Data Generation via Probabilistic Circuits.

Davide Scassola, Dylan Ponsford, Adrián Javaloy, Sebastiano Saccani, Luca Bortolussi, Henry Gouk, Antonio Vergari

CoRR, March, 2026

An Embarrassingly Simple Way to Optimize Orthogonal Matrices at Scale.

Adrián Javaloy, Antonio Vergari

CoRR, February, 2026

2025

How to Square Tensor Networks and Circuits Without Squaring Them.

Lorenzo Loconte, Adrián Javaloy, Antonio Vergari

CoRR, December, 2025

COPA: Comparing the Incomparable to Explore the Pareto Front.

Adrián Javaloy, Antonio Vergari, Isabel Valera

CoRR, March, 2025

DeCaFlow: A deconfounding causal generative model.

Alejandro Almodóvar, Adrián Javaloy, Juan Parras, Santiago Zazo, Isabel Valera

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2023

Causal normalizing flows: from theory to practice.

Adrián Javaloy, Pablo Sánchez-Martín, Isabel Valera

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learnable Graph Convolutional Attention Networks.

Adrián Javaloy, Pablo Sánchez-Martín, Amit Levi, Isabel Valera

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization.

Adrián Javaloy, Maryam Meghdadi, Isabel Valera

Proceedings of the International Conference on Machine Learning, 2022

RotoGrad: Gradient Homogenization in Multitask Learning.

Adrián Javaloy, Isabel Valera

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Rotograd: Dynamic Gradient Homogenization for Multi-Task Learning.

Adrián Javaloy, Isabel Valera

CoRR, 2021

2020

Lipschitz standardization for robust multivariate learning.

Adrián Javaloy, Isabel Valera

CoRR, 2020

Relative gradient optimization of the Jacobian term in unsupervised deep learning.

Luigi Gresele, Giancarlo Fissore, Adrián Javaloy, Bernhard Schölkopf, Aapo Hyvärinen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020