Publication

A Bayesian data assimilation framework for lake 3D hydrodynamic models with a physics-preserving particle filtering method using SPUX-MITgcm v1

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

A Bayesian data assimilation framework for lake 3D hydrodynamic models with a physics-preserving particle filtering method using SPUX-MITgcm v1

Graph Chatbot

Chat with Graph Search

Sparse autoregressive neural networks for classical spin systems

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

Supervised learning and inference of spiking neural networks with temporal coding

From Probability Graphical Models to Dynamic Networks — A Bayesian perspective on Smooth Best Estimate of Trajectory with applications in Geodetic Engineering

Fundamental Limits in Statistical Learning Problems: Block Models and Neural Networks

The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systems

Short-term runoff forecasting in an alpine catchment with a long short-term memory neural network

Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors

A Machine Learning-based Framework for Forecasting Sales of New Products With Short Life Cycles Using Deep Neural Networks