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Antoine Simoulin

Graduate student @ University of Paris, Paris, France

transformers

depth

dynamic

concreteness

abstractness

visual representations

3

presentations

SHORT BIO

I am currently completing my Ph.D. in Natural Language Processing at Paris University in a joint program sponsored by Quantmetry. I graduated from ENSTA Paris in mathematical optimization and obtained a Master (M2) from Ecole Polytechnique in Data Science. My research focuses on building standalone sentence embeddings. I examine sentence encoder architectures, as well as training and evaluation methods. I contribute to the open-source community with the creation of datasets and implementation of deep learning models. I specifically contribute to resources for French.

Presentations

Unifying Parsing and Tree-Structured Models for Generating Sentence Semantic Representations

Antoine Simoulin and 1 other author

How Many Layers and Why? An Analysis of the Model Depth in Transformers

Antoine Simoulin and 1 other author

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