Concept
Deviance information criterion
Publications associées (32)
Anomalous Dissipation and Lack of Selection in the Obukhov-Corrsin Theory of Scalar Turbulence
Maria Colombo, Massimo Sorella
The Obukhov-Corrsin theory of scalar turbulence [21, 54] advances quantitative predictions on passive-scalar advection in a turbulent regime and can be regarded as the analogue for passive scalars of Kolmogorov's K41 theory of fully developed turbulence [4 ...
London2023Self-Interaction and Polarons in Density Functional Theory
The electron self-interaction is a long-standing problem in density functional theory and is particularly critical in the description of polarons. Polarons are quasiparticles involving charge localization coupled with self-induced lattice distortions. Sinc ...
EPFL2023Discrimination of numerical proportions: A comparison of binomial and Gaussian models
Observers discriminated the numerical proportion of two sets of elements (N = 9, 13, 33, and 65) that differed either by color or orientation. According to the standard Thurstonian approach, the accuracy of proportion discrimination is determined by irredu ...
Springer2017Evidence for eligibility traces in human learning
Michael Herzog, Wulfram Gerstner, Kerstin Preuschoff, Marco Philipp Lehmann, He Xu, Vasiliki Liakoni
Whether we prepare a coffee or navigate to a shop: in many tasks we make multiple decisions before reaching a goal. Learning such state-action sequences from sparse reward raises the problem of credit-assignment: which actions out of a long sequence should ...
arXiv2017Methodology for the optimal design of an integrated sugarcane distillery and cogeneration process for ethanol and power production
François Maréchal, Rami Bechara, Jean-Marc Schweitzer
The application of systematic methodologies for the optimal design of integrated processes has seen increased interest in literature, namely for bioprocesses. The development and application of such a methodology to ethanol and power production from sugarc ...
Pergamon-Elsevier Science Ltd2016Automatic and computationally efficient method for model selection in inertial sensor calibration
Jan Skaloud, Stéphane Guerrier
The identification and selection of a small set of models that are able to well describe and predict the error signals coming from IMU sensors is of utmost importance to improve the navigation precision of these devices. For this reason, in this paper we p ...
2015Fast Process Variation Analysis in Nano-Scaled Technologies Using Column-Wise Sparse Parameter Selection
Giovanni De Micheli, Pierre-Emmanuel Julien Marc Gaillardon, Majid Yazdani, Hassan Ghasemzadeh Mohammadi
With growing concern about process variation in deeply nano-scaled technologies, parameterized device and circuit modeling is becoming very important for design and verification. However, the high dimensionality of parameter space is a serious modeling cha ...
2014