Concept
Programmation logique inductive
Publications associées (38)
Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation
Machine learning (ML) enables artificial intelligent (AI) agents to learn autonomously from data obtained from their environment to perform tasks. Modern ML systems have proven to be extremely effective, reaching or even exceeding human intelligence.Althou ...
EPFL2024Robust Outlier Rejection for 3D Registration with Variational Bayes
Mathieu Salzmann, Jiancheng Yang, Zheng Dang, Zhen Wei, Haobo Jiang
Learning-based outlier (mismatched correspondence) rejection for robust 3D registration generally formulates the outlier removal as an inlier/outlier classification problem. The core for this to be successful is to learn the discriminative inlier/outlier f ...
Los Alamitos2023Generating Controlled Physics-Informed Time-to-failure Trajectories for Prognostics in Unseen Operational Conditions
Limited availability of representative time-to-failure (TTF) trajectories either limits the performance of deep learning (DL)-based approaches on remaining useful life (RUL) prediction in practice or even precludes their application. Generating synthetic d ...
Research Publishing2023Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity
Nicolas Henri Bernard Flammarion, Scott William Pesme, Loucas Pillaud-Vivien
Understanding the implicit bias of training algorithms is of crucial importance in order to explain the success of overparametrised neural networks. In this paper, we study the dynamics of stochastic gradient descent over diagonal linear networks through i ...
2021