Hi! PARIS is the center dedicated to Data Analytics and Artificial Intelligence (AI) for Science, Business, and Society, created jointly by the Institut Polytechnique de Paris and HEC Paris. Our activities are organized around three pillars: research, education, and innovation.
The Hi! PARIS Engineering team plays a vital role in supporting, enhancing, and contributing to each of these pillars.
You are a faculty, a researcher or a student. You wish to contribute to an ongoing project.
Feel free to contact the Hi! PARIS Engineering Team!
Hi! PARIS Research offers 38 GitHub repositories focused on AI, data science, and machine learning, providing open-source tools and resources to drive innovation and address challenges in science, business, and society.
Denoising radar satellite images using deep learning in Python. How to tackle inherent interferences of radar satellites?
The XPER method breaks down model performance by analyzing each feature's contribution using Shapley values, offering insights into predictive performance.
Speech Self-Supervised Representation Benchmarking:
Are We Doing it Right?
Self-supervised learning (SSL) shows strong performance on speech tasks, but this study finds that changing decoder architectures can significantly affect results, revealing limitations in benchmarks using only a single decoder.
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