Martin Gonzalez

According to our database, Martin Gonzalez authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings.

Lucas Mattioli, Youness Ait Hadichou, Sabrina Chaouche, Martin Gonzalez

CoRR, June, 2025

Detecting and Defending Against Adversarial Attacks on Automatic Speech Recognition via Diffusion Models.

Nikolai Lund Kühne, Astrid H. F. Kitchena, Marie S. Jensen, Mikkel S. L. Brøndt, Martin Gonzalez, Christophe A. N. Biscio, Zheng-Hua Tan

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Real-time weather monitoring and desnowification through image purification.

Eliott Py, Elies Gherbi, Nelson Fernandez Pinto, Martin Gonzalez, Hatem Hajri

AI Ethics, February, 2024

A finite-sample generalization bound for stable LPV systems.

Dániel Rácz, Martin Gonzalez, Mihály Petreczky, András Benczúr, Bálint Daróczy

CoRR, 2024

AI Systems Trustworthiness Assessment: State of the Art.

Afef Awadid, Kahina Amokrane-Ferka, Henri Sohier, Juliette Mattioli, Faouzi Adjed, Martin Gonzalez, Souhaiel Khalfaoui

Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering, 2024

2023

Realization Theory of Recurrent Neural ODEs using Polynomial System Embeddings.

Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Mihály Petreczky

Syst. Control. Lett., March, 2023

SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models.

Martin Gonzalez, Nelson Fernández, Thuy Tran, Elies Gherbi, Hatem Hajri, Nader Masmoudi

CoRR, 2023

SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models.

Martin Gonzalez, Nelson Fernandez, Thuy Tran, Elies Gherbi, Hatem Hajri, Nader Masmoudi

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

2022

Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening.

Martin Gonzalez, Hatem Hajri, Loic Cantat, Mihály Petreczky

CoRR, 2022