Lecture DL
Groupe de lecture deep learning
- Session 11 : vendredi 25 mars 2022, 14h00 (visio collab)
- Session 10 : vendredi 4 fevrier 2022, 13h 30(visio collab)
- Alexandre Heuillet : FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining
- Ayoub Abraich : Patches Are All You Need?
- Session 9 : mercredi 10 novembre 2021, 14h (visio collab)
- Session 8 : mardi 21 septembre 2021, 11h (visio collab)
- Farida Zehraoui : Attention is not not Explanation
- Louis Becquey : Highly accurate protein structure prediction with AlphaFold
- Session 7 : jeudi 3 juin 2021, 15h (visio collab)
- Vincent Vigneron : principal components , minor components and linear neural networks
- Blaise Hanczar : Deep double descent : where bigger models and more data hurt
- Session 6 : 29 avril 2021 (visio collab)
- Farida Zehraoui : Attention is not not Explanation
- Tina Issa : Pareto multi-task learning
- Session 5 : 5 mars 2021 (visio collab)
- Dominique Fourer : Adversarial poisonning and inverse poisonning against deep learning
- Jean-Christophe Janodet : Distance and Equivalence between Finite State Machines and Recurrent Neural Networks: Computational results
- Session 4 : 18 décembre 2020 (visio collab)
- Ayoub Abraich : Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
- Louis Becquey : Improved protein structure prediction using potentials from deep learning.(AlphaFold)
- Session 3 : 13 novembre 2020 (visio collab)
- Session 2 : 29 septembre 2020 (12p)
- Session 1 : 3 mars 2020 (10p)
- Blaise Hanczar : Learning Representations for Counterfactual Inference
- Farida Zehraoui : Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model