People

Adrián Javaloy

​Saarland Informatics Campus
Building E1.1, Room 2.28

My personal website
ajavaloy@cs.uni-saarland.de

About me

Hi there 👋 My name is Adrián, and I am a PhD student at the Probabilistic Machine Learning group under the supervision of Isabel Valera at Saarland University. I am also an alumnus of the Empirical Inference department at the Max Planck Institute for Intelligent Systems. Before pursuing my PhD, I completed a Master in Computer Science and a double Bachelor Degree in Computer Science Engineering and Mathematics at the University of Murcia.

I am mostly interested in principled research that aims to improve machine learning methods, making them easier to use and more robust. Specifically, my current research focuses on improving models that optimize different tasks simultaneously. This includes apparently unrelated areas such as multitask learning (MTL) and deep probabilistic generative models (e.g. VAEs) under heterogeneous environments. 

However, I am a curiosity-driven, and I am always happy to discuss interesting ideas even if they lie outside my comfort zone. Feel free to reach me out via Twitter or email.

Publications

2022

Javaloy, Adrián; Meghdadi, Maryam; Valera, Isabel

Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization Inproceedings

In: ICML, 2022.

Links | BibTeX

Javaloy, Adrián; Valera, Isabel

RotoGrad: Gradient Homogenization in Multitask Learning Inproceedings

In: International Conference on Learning Representations, 2022.

Links | BibTeX

2021

Javaloy, Adrián; Meghdadi, Maryam; Valera, Isabel

Boosting heterogeneous VAEs via multi-objective optimization Workshop

2021.

Links | BibTeX

2020

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

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

In: Larochelle, Hugo; Ranzato, Marc'Aurelio; Hadsell, Raia; Balcan, Maria-Florina; Lin, Hsuan-Tien (Ed.): Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020.

Links | BibTeX

Javaloy, Adrián; Valera, Isabel

Lipschitz standardization for robust multivariate learning Journal Article

In: CoRR, vol. abs/2002.11369, 2020.

Links | BibTeX

2019

Javaloy, Adrián; García-Mateos, Ginés

A Character-Level Approach to the Text Normalization Problem Based on a New Causal Encoder Journal Article

In: CoRR, vol. abs/1903.02642, 2019.

Links | BibTeX