Publications related to Simulation hypothesis

Decentralized Decision-Making Over Multi-Task Networks

In important applications involving multi-task networks with multiple objectives, agents in the network need to decide between these multiple objectives and reach an agreement about which single objective to follow for the network. In this work we propose ...

ELSEVIER SCIENCE BV2019

A Critical Literature Review of Spatio-temporal Simulation Methods for Daylight Glare Assessment

Marilyne Andersen, Jan Wienold, Stephen William Wasilewski, Lars Oliver Grobe

A well daylighted space can provide a highly satisfying visual environment. However, if that environment causes us visual discomfort, it can become such a nuisance that we, sometimes literally, turn our backs on this powerful connection to the outside worl ...

2019

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

Lesya Shchutska, Aurelio Bay, Guido Haefeli, Elena Graverini, Alexey Boyarsky, Alexandre Emmanuel Grandchamp, Sun Hee Kim, Federico Leo Redi, Maria Elena Stramaglia, Oleg Ruchayskiy, Nikolaos Charitonidis, Sebastian Gerlach, Jean-Loup Tastet, Ana Bárbara Rodrigues Cavalcante, Ekaterina Kuznetsova, Hans Dijkstra, Anton Petrov, Sergei Smirnov

This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHIP experiment will be able to search for new long-lived particles produced in a 400 GeV/c SPS proton beam ...

IOP PUBLISHING LTD2019

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

Lesya Shchutska, Aurelio Bay, Guido Haefeli, Elena Graverini, Alexey Boyarsky, Sun Hee Kim, Federico Leo Redi, Maria Elena Stramaglia, Oleg Ruchayskiy, Nikolaos Charitonidis, Sebastian Gerlach, Inar Timiryasov, Jean-Loup Tastet, Ana Bárbara Rodrigues Cavalcante, Ekaterina Kuznetsova, Hans Dijkstra, Anton Petrov, Sergei Smirnov

This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHiP experiment will be able to search for new long-lived particles produced in a 400~GeV

/c

SPS proton be ...

2019

Modeling the breaking-off of icebergs from tidewater glaciers

Qimin Wang

Ice calving is the breakaway process of icebergs which plays an important role in the dy- namics and the mass balance of ice sheets. Our project is to use Akantu (An open source object-oriented Finite Element library by LSMS) to reproduce the fracturing st ...

2019

Supervised Learning Under Distributed Features

Ali H. Sayed, Bicheng Ying, Kun Yuan

This paper studies the problem of learning under both large datasets and large-dimensional feature space scenarios. The feature information is assumed to be spread across agents in a network, where each agent observes some of the features. Through local co ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Dynamic Optimization of Reaction Systems via Exact Parsimonious Input Parameterization

Dominique Bonvin, Diogo Filipe Mateus Rodrigues

This paper discusses the use of parsimonious input parameterization for the dynamic optimization of reaction systems. This parameterization is able to represent the optimal inputs with only a few parameters. In the context of batch, semibatch, and continuo ...

AMER CHEMICAL SOC2019

Exploring The Borderlands Of The Gathering Problem

Rachid Guerraoui, El Mahdi El Mhamdi, Alexandre David Olivier Maurer, Vladislav Tempez

Problems of pattern formation have been extensively studied in distributed computing. One of this problems is the gathering problem: agents must gather at a same position in a distributed manner. When gathering is not possible, a close problem is the conve ...

2019

GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping

Pascal Fua, Mathieu Salzmann, Victor Constantin, Erhan Gündogdu

While Physics-Based Simulation (PBS) can accurately drape a 3D garment on a 3D body, it remains too costly for real-time applications, such as virtual try-on. By contrast, inference in a deep network, requiring a single forward pass, is much faster. Taking ...

IEEE2019

Towards Advanced Fusion Gyrotrons: 2018 Update on Activities within EUROfusion

Stefano Alberti, Minh Quang Tran, Ioannis Pagonakis, Martin Schmid, Konstantinos Avramidis

During the ongoing pre-concept phase (2014 - 2020) for a possible future European DEMOnstration Fusion Power Plant (DEMO) the activities within EUROfusion WP HCD EC Gyrotron R&D and Advanced Developments are focusing on options for near-term solutions, and ...

E D P SCIENCES2019

Simulation hypothesis

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Decentralized Decision-Making Over Multi-Task Networks

A Critical Literature Review of Spatio-temporal Simulation Methods for Daylight Glare Assessment

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

Modeling the breaking-off of icebergs from tidewater glaciers

Supervised Learning Under Distributed Features

Dynamic Optimization of Reaction Systems via Exact Parsimonious Input Parameterization

Exploring The Borderlands Of The Gathering Problem

GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping

Towards Advanced Fusion Gyrotrons: 2018 Update on Activities within EUROfusion

A Critical Literature Review of Spatio-temporal Simulation Methods for Daylight Glare Assessment

Decentralized Decision-Making Over Multi-Task Networks

Modeling the breaking-off of icebergs from tidewater glaciers

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

Supervised Learning Under Distributed Features

GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping

Dynamic Optimization of Reaction Systems via Exact Parsimonious Input Parameterization

Towards Advanced Fusion Gyrotrons: 2018 Update on Activities within EUROfusion

Exploring The Borderlands Of The Gathering Problem