Sort by
Refine Your Search
-
and implement Bayesian graph neural networks and convolutional neural networks as surrogates for high-fidelity biomechanical models Quantify and propagate uncertainty, and develop strategies for model
-
Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. Automated data-driven selection procedures will enable to gain objectivity and capacity to handle large amount of data from a wide range of epidemics. The first challenge consist in refining previous models
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
strategies. arXiv preprint arXiv:2502.19308, 2025 Objectives The goal of the postdoc project is to develop a robust and flexible interface between crop models and reinforcement learning (RL) to enable decision
Searches related to bayesian object
Enter an email to receive alerts for bayesian-object positions