Publications associées à Variable discrète

Real time magnetic control of the snowflake plasma configuration in the TCV tokamak

Stefano Coda, Jean-Marc Moret, Holger Reimerdes, Benoît Labit, Federico Alberto Alfredo Felici, Cristian Galperti, Roberto Maurizio, Himank Anand

The novel plasma position and shape controller of the TCV tokamak aids in the precise control of complex configurations such as snowflake (SF) divertors. The ability of the controller design to simultaneously control the position, shape, divertor leg and X ...

2019

Supervisory Coordination of Robotic Fiber Positioners in Multi-Object Spectrographs

Denis Gillet, Jean-Paul Richard Kneib, Matin Macktoobian

In this paper, we solve the complete coordination problem of robotic fiber positioners using supervisory control theory. In particular, we model positioners and their behavioral specifications as discrete-event systems by the discretization of their motion ...

Elsevier2019

Scenario Reduction Revisited: Fundamental Limits and Guarantees

Daniel Kuhn, Napat Rujeerapaiboon, Kilian Schindler, Wolfram Wiesemann

The goal of scenario reduction is to approximate a given discrete distribution with another discrete distribution that has fewer atoms. We distinguish continuous scenario reduction, where the new atoms may be chosen freely, and discrete scenario reduction, ...

2018

Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations

Daniel Kuhn, Peyman Mohajerin Esfahani

We consider stochastic programs where the distribution of the uncertain parameters is only observable through a finite training dataset. Using the Wasserstein metric, we construct a ball in the space of (multivariate and non-discrete) probability distribut ...

2018

Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls

Daniel Kuhn, Grani Adiwena Hanasusanto

Adaptive robust optimization problems are usually solved approximately by restricting the adaptive decisions to simple parametric decision rules. However, the corresponding approximation error can be substantial. In this paper we show that two-stage robust ...

2018

Quasi-Continuous Unconscious Processing precedes Discrete Conscious Perception

Michael Herzog, Adrien Christophe Doerig

Consciousness seems to be a smooth, continuous stream of percepts. We are aware of the world at each single moment of time. However, intriguing illusions suggest that the world is not continuously translated into conscious perception. Instead, consciousnes ...

2018

Quasi-continuous unconscious processing precedes discrete conscious perception

Michael Herzog, Adrien Christophe Doerig

Perception seems to be a continuous stream and, for this reason, we often implicitly assume that perception is continuous. In fact, many models of vision rely explicitly and implicitly on continuous perception. However, continuous perception is challenged ...

2017

Estimation of pedestrian origin-destination demand in train stations

Michel Bierlaire, Flurin Silvan Hänseler, Nicholas Alan Molyneaux

We present a framework for estimating pedestrian demand within a train station. It takes into account ridership data, and various direct and indirect indicators of demand. Such indicators may include link flow counts, density measurements, survey data, his ...

Informs2017

Multi-task additive models with shared transfer functions based on dictionary learning

Pascal Frossard, Alhussein Fawzi

Additive models form a widely popular class of regression models which represent the relation between covariates and response variables as the sum of low-dimensional transfer functions. Besides flexibility and accuracy, a key benefit of these models is the ...

Institute of Electrical and Electronics Engineers2017

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Variable discrète

Real time magnetic control of the snowflake plasma configuration in the TCV tokamak

Supervisory Coordination of Robotic Fiber Positioners in Multi-Object Spectrographs

Scenario Reduction Revisited: Fundamental Limits and Guarantees

Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations

Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls

Quasi-Continuous Unconscious Processing precedes Discrete Conscious Perception

Quasi-continuous unconscious processing precedes discrete conscious perception

Lipschitz changes of variables between perturbations of log-concave measures

Estimation of pedestrian origin-destination demand in train stations

Multi-task additive models with shared transfer functions based on dictionary learning

Graph Chatbot

Chattez avec Graph Search

Scenario Reduction Revisited: Fundamental Limits and Guarantees

Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls

Supervisory Coordination of Robotic Fiber Positioners in Multi-Object Spectrographs

Multi-task additive models with shared transfer functions based on dictionary learning

Lipschitz changes of variables between perturbations of log-concave measures

Quasi-Continuous Unconscious Processing precedes Discrete Conscious Perception

Quasi-continuous unconscious processing precedes discrete conscious perception

Real time magnetic control of the snowflake plasma configuration in the TCV tokamak

Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations

Estimation of pedestrian origin-destination demand in train stations