Institut Polytechnique de Paris

Machine learning fairness notions: Bridging the gap with real-world applications

Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi

2021 · 53 Zit.

Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry

Benoît Dufumier, Pietro Gori, Sara Petiton et al.

2024 · 11 Zit.

Epistemic integration and social segregation of AI in neuroscience

Sylvain Fontaine, Floriana Gargiulo, Michel Dubois et al.

2024 · 2 Zit.

Explainable artificial intelligence: tools, platforms, and new taxonomies

Ghulam E Mustafa Abro, Parteek Kumar, Vijanth Sagayan Asirvadam et al.

2023 · 1 Zit.

ChatGPT, AlphaCode : si les IA peuvent coder, peuvent-elles créer des IA ?

Julien Romero

2024 · 0 Zit.

Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation

Yasser Benigmim, Subhankar Roy, Khalid Oublal et al.

2025 · 0 Zit.

ChatGPT Generates a Novel Tax Strategy

Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme

2026 · 0 Zit.

Reconfidencing LLMs from the Grouping Loss Perspective

Lihu Chen, Alexandre Perez-Lebel, Fabian M. Suchanek et al.

2024 · 0 Zit.

A Survey on Trustworthy Systems in ChatGPT-Like Large-Scale Generative AI Models: Security, Interpretability, Reliability, and Privacy Considerations

Dun Li, Hongzhi Li, Jiatao Li et al.

2026 · 0 Zit.

PHYSICS-INFORMED LEARNING OF NEURAL SCATTERING FIELDS TOWARDS MEASUREMENT-FREE MESH-TO-HRTF ESTIMATION

Tancrède Martinez, Carlo, Diego, Di, Nugraha, Aditya, Arie et al.

2026 · 0 Zit.