• How to Make Deep Learning Models More Efficient? - [X AI](https://ax.polytechnique.org/fr/group/x-intelligence-artificielle/102/calendar/x-ia-26-efficient-ai-smaller-better-faster-stronger/2025/04/29/2477) - 04.2025: [ Video ]
  • Breaking into Research: Where Do You Begin? - AI Nation - 04.2025: [ Recording ]
  • Faire mieux avec moins: le défi des petits modèles d’IA - Les dessous de l’IA - 04.2025: [ Recording ]
  • How to Make Deep Learning Models More Efficient? - AI Seine Summit (Organized by Huawei) - 03.2025
  • Green AI - Smashing your models with Pruna AI - Stokcholm AI - 11.2024: [ Video ]
  • Une IA plus intelligente, une empreinte carbone réduite - Daphni - 09.2024: [ Recording ]
  • Uncertainty Estimation for Independent and Non-Independent Data - TUM - 02.2024
  • Uncertainty Estimation for Independent and Non-Independent Data - IDA Machine Learning Seminars (Linköping University) - 21.02.2024
  • Differentiable DAG Learning - French-German workshop - 14.06.2022: [ Slides ]
  • Natural Posterior Network - Continental - 30.08.2022
  • Differentiable DAG Learning - Origins Data Science (TUM) - 06.05.2022: [ Slides ]
  • Uncertainty in Reinforcement Learning - SISL (Stanford) - 11.04.2022: [ Slides ]
  • Graph Posterior Network - LoGaG (Reading group with Valence Discovery) - 15.02.2022: [ Slides | Video ]
  • Posterior Network - SISL (Stanford) - 24.03.2021: [ Slides ]
  • Uncertainty on Asynchronous Time Event Prediction (Spotlight) - NeurIPS 2019 - 24.03.2020: [ Slides ]