Publications related to Interactive Design of Probability Density Functions for Shape Grammars

Macromolecular modeling and design in Rosetta: recent methods and frameworks

Bruno Emanuel Ferreira De Sousa Correia, Patrick Daniel Barth, Andreas Scheck, Hamed Khakzad, Alisa Khramushin, Jaume Bonet Martinez, Thomas Huber, Lei Shi

The Rosetta software for macromolecular modeling, docking and design is extensively used in laboratories worldwide. During two decades of development by a community of laboratories at more than 60 institutions, Rosetta has been continuously refactored and ...

NATURE PUBLISHING GROUP2020

Characterization of a radial cylindrical spring using an electromechanical test bench

Yves Perriard, Yoan René Cyrille Civet, Jonathan André Jean-Marie Chavanne, David Moser

The Center for Artificial Muscles of EPFL in Neuchâtel focuses his research on designing a less invasive cardiac assist device based on a dielectric elastomer actuator. The idea is to place a ring around the aorta and activate it to help failing heart pump ...

2019

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Fei Pu

In this thesis, we study systems of linear and/or non-linear stochastic heat equations and fractional heat equations in spatial dimension

1

driven by space-time white noise. The main topic is the study of hitting probabilities for the solutions to these ...

EPFL2018

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Sylvain Calinon, Ajay Kumar Tanwani, Swati Krishnan

Generalizing manipulation skills to new situations requires extracting invariant patterns from demonstrations. For example, the robot needs to understand the demonstrations at a higher level while being invariant to the appearance of the objects, geometric ...

2018

Visualization, Adaptation, and Transformation of Procedural Grammars

Stefan Lienhard

Procedural shape grammars are powerful tools for the automatic generation of highly detailed 3D content from a set of descriptive rules. It is easy to encode variations in stochastic and parametric grammars, and an uncountable number of models can be gener ...

EPFL2017

Who likes this beer? Me or the community? A matched observational study of beer review from two aligned communities

Gael Lederrey

Online rating systems are a standard tool used to share, discuss and sometimes sell products. The study of how the users interact with others inside these communities is fundamental to the better understanding of our society. In most of the literature, onl ...

2017

Learning Search Strategies from Human Demonstrations

Guillaume Pierre Luc De Chambrier

Decision making and planning with partial state information is a problem faced by all forms of intelligent entities. The formulation of a problem under partial state information leads to an exorbitant set of choices with associated probabilistic outcomes m ...

EPFL2016

Solving Stochastic AC Power Flow via Polynomial Chaos Expansion

Timm Faulwasser

The present contribution demonstrates the applicability of polynomial chaos expansion to stochastic (optimal) AC power flow problems that arise in the operation of power grids. For rectangular power flow, polynomial chaos expansion together with Galerkin p ...

IEEE2016

Design Considerations for Wearable Antennas

Anja Skrivervik, Zvonimir Sipus, Jovanche Trajkovikj, Benjamin Fuchs

With the development of generalized connectivity and the increased use of Body Area Networks, wearable antennas have become ubiquitous in the last decade. Their design presents a challenge, as they per definition are located at the interface between free s ...

Ieee2016

Probability density function of the electric field in diffuse correlation spectroscopy of human bone in vivo

Dimitri Nestor Alice Van De Ville

Diffuse correlation spectroscopy (DCS) is the technique of choice for non-invasive assessments of human bone blood flow. However, DCS classical algorithms are based on the fundamental assumption that the electric field of the light reaching the DCS photode ...

Optical Soc Amer2016

Interactive Design of Probability Density Functions for Shape Grammars

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Macromolecular modeling and design in Rosetta: recent methods and frameworks

Characterization of a radial cylindrical spring using an electromechanical test bench

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Visualization, Adaptation, and Transformation of Procedural Grammars

Who likes this beer? Me or the community? A matched observational study of beer review from two aligned communities

Learning Search Strategies from Human Demonstrations

Solving Stochastic AC Power Flow via Polynomial Chaos Expansion

Design Considerations for Wearable Antennas

Probability density function of the electric field in diffuse correlation spectroscopy of human bone in vivo

Characterization of a radial cylindrical spring using an electromechanical test bench

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Macromolecular modeling and design in Rosetta: recent methods and frameworks

Visualization, Adaptation, and Transformation of Procedural Grammars

Who likes this beer? Me or the community? A matched observational study of beer review from two aligned communities

Solving Stochastic AC Power Flow via Polynomial Chaos Expansion

Learning Search Strategies from Human Demonstrations

Design Considerations for Wearable Antennas

Probability density function of the electric field in diffuse correlation spectroscopy of human bone in vivo