Christophe Cerisara
4 papers in the PaperMetrix corpus
Papers by this author
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Unsupervised Risk for Privacy
2021 · 2021 IEEE International Conference on Big Data (Big Data)
This position paper deals with privacy for deep neural networks, more precisely with robustness to membership inference attacks. The current state-of-the-art methods, such as the ones based on differential privacy and training loss regularization, mainly …
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Improving Quotation Attribution with Fictional Character Embeddings
2024 · arXiv (Cornell University)
Humans naturally attribute utterances of direct speech to their speaker in literary works. When attributing quotes, we process contextual information but also access mental representations of characters that we build and revise throughout the narrative. …
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Growing Neural Networks have Flat Optima and Generalize Better
2024 · HAL (Le Centre pour la Communication Scientifique Directe)
In this work, we study the loss landscape of growing neural networks and show that they have flatter minima than when trained with all of their parameters from random initialization. Then, we further evaluate and …
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Cross-lingual Matryoshka Representation Learning across Speech and Text
2026 · arXiv (Cornell University)
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