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ORCIDAdrián Javaloy
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2020 – today
- 2023
[c5]Adrián Javaloy, Pablo Sánchez-Martín, Amit Levi, Isabel Valera
:
Learnable Graph Convolutional Attention Networks. ICLR 2023- [c4]Adrián Javaloy, Pablo Sánchez-Martín, Isabel Valera:
Causal normalizing flows: from theory to practice. NeurIPS 2023 - [i6]Adrián Javaloy, Pablo Sánchez-Martín, Isabel Valera:
Causal normalizing flows: from theory to practice. CoRR abs/2306.05415 (2023) - 2022
- [c3]Adrián Javaloy, Isabel Valera:
RotoGrad: Gradient Homogenization in Multitask Learning. ICLR 2022 - [c2]Adrián Javaloy, Maryam Meghdadi, Isabel Valera:
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization. ICML 2022: 9938-9964 - [i5]Adrián Javaloy, Maryam Meghdadi, Isabel Valera:
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization. CoRR abs/2206.04496 (2022) - [i4]Adrián Javaloy, Pablo Sánchez-Martín, Amit Levi, Isabel Valera:
Learnable Graph Convolutional Attention Networks. CoRR abs/2211.11853 (2022) - 2021
- [i3]Adrián Javaloy, Isabel Valera:
Rotograd: Dynamic Gradient Homogenization for Multi-Task Learning. CoRR abs/2103.02631 (2021) - 2020
- [c1]Luigi Gresele, Giancarlo Fissore, Adrián Javaloy, Bernhard Schölkopf, Aapo Hyvärinen:
Relative gradient optimization of the Jacobian term in unsupervised deep learning. NeurIPS 2020 - [i2]Adrián Javaloy, Isabel Valera:
Lipschitz standardization for robust multivariate learning. CoRR abs/2002.11369 (2020) - [i1]Luigi Gresele, Giancarlo Fissore, Adrián Javaloy, Bernhard Schölkopf, Aapo Hyvärinen:
Relative gradient optimization of the Jacobian term in unsupervised deep learning. CoRR abs/2006.15090 (2020)
Coauthor Index
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