publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

  1. Preprint
    COPA: Comparing the incomparable in multi-objective model evaluation
    Adrián Javaloy, Antonio Vergari, and Isabel Valera
    arXiv preprint arXiv:2503.14321, 2025
    arXiv
  2. NeurIPS
    DeCaFlow: A deconfounding causal generative model
    Alejandro Almodóvar*, Adrián Javaloy*, Juan Parras, and 2 more authors
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
    Spotlight publication arXiv Link
  3. Dissertation
    Meet my expectations: on the interplay of trustworthiness and deep learning optimization
    Adrián Javaloy
    2024
    Summa cum laude DOI
  4. NeurIPS
    Causal normalizing flows: from theory to practice
    Adrián Javaloy, Pablo Sánchez-Martín, and Isabel Valera
    In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023
    Oral publication arXiv Link
  5. ICLR
    Learnable Graph Convolutional Attention Networks
    Adrián Javaloy*, Pablo Sánchez-Martín*, Amit Levi, and 1 more author
    In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023
    Link
  6. ICLR
    RotoGrad: Gradient Homogenization in Multitask Learning
    Adrián Javaloy and Isabel Valera
    In The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022
    Spotlight publication Link
  7. ICML
    Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
    Adrián Javaloy, Maryam Meghdadi, and Isabel Valera
    In International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022
    Spotlight publication Link
  8. MDPI
    Preliminary results on different text processing tasks using encoder-decoder networks and the causal feature extractor
    Adrián Javaloy and Ginés García-Mateos
    Applied Sciences, 2020
  9. MDPI
    Text normalization using encoder–decoder networks based on the causal feature extractor
    Adrián Javaloy and Ginés García-Mateos
    Applied Sciences, 2020
  10. Preprint
    Lipschitz standardization for multivariate learning
    Adrián Javaloy and Isabel Valera
    ArXiv preprint, 2020
    arXiv Link
  11. NeurIPS
    Relative gradient optimization of the Jacobian term in unsupervised deep learning
    Luigi Gresele*, Giancarlo Fissore*, Adrián Javaloy, and 2 more authors
    In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020
    Link
  1. NeurIPS
    DeCaFlow: A deconfounding causal generative model
    Alejandro Almodóvar*, Adrián Javaloy*, Juan Parras, and 2 more authors
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
    Spotlight publication arXiv Link
  2. Dissertation
    Meet my expectations: on the interplay of trustworthiness and deep learning optimization
    Adrián Javaloy
    2024
    Summa cum laude DOI
  3. NeurIPS
    Causal normalizing flows: from theory to practice
    Adrián Javaloy, Pablo Sánchez-Martín, and Isabel Valera
    In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023
    Oral publication arXiv Link
  4. ICML
    Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
    Adrián Javaloy, Maryam Meghdadi, and Isabel Valera
    In International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022
    Spotlight publication Link
  5. Preprint
    Lipschitz standardization for multivariate learning
    Adrián Javaloy and Isabel Valera
    ArXiv preprint, 2020
    arXiv Link
  6. NeurIPS
    Relative gradient optimization of the Jacobian term in unsupervised deep learning
    Luigi Gresele*, Giancarlo Fissore*, Adrián Javaloy, and 2 more authors
    In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020
    Link
  1. NeurIPS
    DeCaFlow: A deconfounding causal generative model
    Alejandro Almodóvar*, Adrián Javaloy*, Juan Parras, and 2 more authors
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
    Spotlight publication arXiv Link
  2. Dissertation
    Meet my expectations: on the interplay of trustworthiness and deep learning optimization
    Adrián Javaloy
    2024
    Summa cum laude DOI
  3. NeurIPS
    Causal normalizing flows: from theory to practice
    Adrián Javaloy, Pablo Sánchez-Martín, and Isabel Valera
    In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023
    Oral publication arXiv Link
  1. Preprint
    COPA: Comparing the incomparable in multi-objective model evaluation
    Adrián Javaloy, Antonio Vergari, and Isabel Valera
    arXiv preprint arXiv:2503.14321, 2025
    arXiv
  2. Dissertation
    Meet my expectations: on the interplay of trustworthiness and deep learning optimization
    Adrián Javaloy
    2024
    Summa cum laude DOI
  3. ICLR
    RotoGrad: Gradient Homogenization in Multitask Learning
    Adrián Javaloy and Isabel Valera
    In The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022
    Spotlight publication Link
  4. ICML
    Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
    Adrián Javaloy, Maryam Meghdadi, and Isabel Valera
    In International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022
    Spotlight publication Link
  1. ICLR
    Learnable Graph Convolutional Attention Networks
    Adrián Javaloy*, Pablo Sánchez-Martín*, Amit Levi, and 1 more author
    In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023
    Link
  2. ICLR
    RotoGrad: Gradient Homogenization in Multitask Learning
    Adrián Javaloy and Isabel Valera
    In The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022
    Spotlight publication Link
  3. ICML
    Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
    Adrián Javaloy, Maryam Meghdadi, and Isabel Valera
    In International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022
    Spotlight publication Link
  4. Preprint
    Lipschitz standardization for multivariate learning
    Adrián Javaloy and Isabel Valera
    ArXiv preprint, 2020
    arXiv Link
  5. NeurIPS
    Relative gradient optimization of the Jacobian term in unsupervised deep learning
    Luigi Gresele*, Giancarlo Fissore*, Adrián Javaloy, and 2 more authors
    In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020
    Link
  1. Preprint
    COPA: Comparing the incomparable in multi-objective model evaluation
    Adrián Javaloy, Antonio Vergari, and Isabel Valera
    arXiv preprint arXiv:2503.14321, 2025
    arXiv
  2. NeurIPS
    DeCaFlow: A deconfounding causal generative model
    Alejandro Almodóvar*, Adrián Javaloy*, Juan Parras, and 2 more authors
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
    Spotlight publication arXiv Link
  3. Dissertation
    Meet my expectations: on the interplay of trustworthiness and deep learning optimization
    Adrián Javaloy
    2024
    Summa cum laude DOI
  4. NeurIPS
    Causal normalizing flows: from theory to practice
    Adrián Javaloy, Pablo Sánchez-Martín, and Isabel Valera
    In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023
    Oral publication arXiv Link