Raphaël Baena

Orcid: 0000-0003-3214-3252

According to our database1, Raphaël Baena authored at least 7 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
On Transfer in Classification: How Well do Subsets of Classes Generalize?
CoRR, 2024

2023
Beyond the training task in classification: looking at extension of the notion of generalization. (Au-delà de la tâche d'entraînement en classification: élargir la notion de généralisation).
PhD thesis, 2023

Entropy Based Feature Regularization to Improve Transferability of Deep Learning Models.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Preserving Fine-Grain Feature Information in Classification via Entropic Regularization.
CoRR, 2022

Preventing Manifold Intrusion with Locality: Local Mixup.
CoRR, 2022

A Local Mixup to Prevent Manifold Intrusion.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks.
Proceedings of the 29th European Signal Processing Conference, 2021


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