Carles Domingo-Enrich
According to our database1,
Carles Domingo-Enrich
authored at least 22 papers
between 2018 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control.
CoRR, 2024
2023
An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow.
Trans. Mach. Learn. Res., 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Computing the Variance of Shuffling Stochastic Gradient Algorithms via Power Spectral Density Analysis.
CoRR, 2022
Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence.
CoRR, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
CoRR, 2019
2018
Outsourcing scalar products and matrix products on privacy-protected unencrypted data stored in untrusted clouds.
Inf. Sci., 2018