Concept
Statistical model specification
Related publications (61)
Bed Topography Inference from Velocity Field Using Deep Learning.
Christophe Ancey, Mehrdad Kiani Oshtorjani
Measuring bathymetry has always been a major scientific and technological challenge. In this work, we used a deep learning technique for inferring bathymetry from the depth-averaged velocity field. The training of the neural network is based on 5742 labora ...
2023Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
Maryam Kamgarpour, Andreas Krause
We consider model-based multi-agent reinforcement learning, where the environment transition model is unknown and can only be learned via expensive interactions with the environment. We propose H-MARL (Hallucinated Multi-Agent Reinforcement Learning), a no ...
JMLR-JOURNAL MACHINE LEARNING RESEARCH2022Discrete-Choice Mining of Social Processes
Poor decisions and selfish behaviors give rise to seemingly intractable global problems, such as the lack of transparency in democratic processes, the spread of conspiracy theories, and the rise in greenhouse gas emissions. However, people are more predict ...
EPFL2021Disparity Between Batches as a Signal for Early Stopping
Patrick Thiran, Mahsa Forouzesh
We propose a metric for evaluating the generalization ability of deep neural networks trained with mini-batch gradient descent. Our metric, called gradient disparity, is the l2 norm distance between the gradient vectors of two mini-batches drawn from the t ...
Springer2021Simultaneous autoregressive models for spatial extremes
Emeric Rolland Georges Thibaud
Motivated by the widespread use of large gridded data sets in the atmospheric sciences, we propose a new model for extremes of areal data that is inspired by the simultaneous autoregressive (SAR) model in classical spatial statistics. Our extreme SAR model ...
WILEY2020Improve the Model Stability of Dam's Displacement Prediction Using a Numerical-Statistical Combined Model
Zhenzhu Meng, Yating Hu, Chenfei Shao
In most studies of dam's displacement prediction based on monitoring data, emphasis was given on improving the prediction accuracy, while the model stability was merely considered. This study proposed a numerical-statistical combined model which aims to im ...
2020Floating bridges and various methods for determining their long-term extreme response due to wave loading
This project presents the theoretical background for calculating the long-term extreme response of pontoon-style floating bridges. Research into surrogate models for the long-term extreme response is given special attention, and various simulations of the ...
2020Parameter Estimation of Three-Phase Untransposed Short Transmission Lines from Synchrophasor Measurements
Jean-Yves Le Boudec, Mario Paolone, Arpan Mukhopadhyay
We present a new approach for estimating the parameters of three-phase untransposed electrically short transmission lines using voltage/current synchrophasor measurements obtained from phasor measurement units. The parameters to be estimated are the entrie ...
2020Multiple dehydrogenation reactions of negative ions in low pressure silane plasma chemistry
Christoph Hollenstein, Alan Howling, Antoine Descoeudres
Micro-particle formation in low pressure silane (SiH4) plasmas has been of technical interest and concern for at least 40 years. Negative ion plasma chemistry is a candidate for the initial nucleation, which has been extensively studied both experimentally ...
2020