Publications related to Improving life cycle-based exploration methods by coupling sensitivity analysis and metamodels

Compressive Spectral Clustering

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

Spectral clustering has become a popular technique due to its high performance in many contexts. It comprises three main steps: create a similarity graph between N objects to cluster, compute the first k eigenvectors of its Laplacian matrix to define a fea ...

2016

Random sampling of bandlimited signals on graphs

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We study the problem of sampling

k

-bandlimited signals on graphs. We propose two sampling strategies that consist in selecting a small subset of nodes at random. The first strategy is non-adaptive, \ie, independent of the graph structure, and its perform ...

2015

Sampling-Based Nuclear Data Uncertainty Quantification for Continuous Energy Monte Carlo Codes

Ting Zhu

The goal of the present PhD research is to establish a methodology of nuclear data uncertainty quantification (NDUQ) for MCNPX, the continuous-energy Monte-Carlo (M-C) code. The high fidelity (continuous-energy treatment and flexible geometry modelling) of ...

EPFL2015

Too much success for recent groundbreaking epigenetic experiments

Gregory Francis

An article reporting statistical evidence for epigenetic transfer of learned behavior has important implications, if true. With random sampling, real effects do not always result in rejection of the null hypothesis, but the reported experiments were unifor ...

Genetics Society of America2014

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Martin Vetterli, David Gontier

Sampling information using timing is an approach that has received renewed attention in sampling theory. The question is how to map amplitude information into the timing domain. One such encoder, called time encoding machine, was introduced by Lazar and To ...

Elsevier2014

Refurbishment of Existing Envelopes in Residential Buildings: assessing robust solutions for future climate change

Giorgia Chinazzo

Evaluating the energy consumption of different design solutions during the design process is essential to reach energy targets. Conventionally, building energy performance is evaluated with energy simulations using a single input weather file (design or ty ...

2014

Linear Bayesian Reinforcement Learning

Christos Dimitrakakis, Nikolaos Tziortziotis

This paper proposes a simple linear Bayesian approach to reinforcement learning. We show that with an appropriate basis, a Bayesian linear Gaussian model is sufficient for accurately estimating the system dynamics, and in particular when we allow for corre ...

2013

Group Testing with Probabilistic Tests: Theory, Design and Application

Martin Vetterli, Amin Karbasi, Ali Hormati, Mahdi Cheraghchi Bashi Astaneh

Identification of defective members of large populations has been widely studied in the statistics community under the name of group testing. It involves grouping subsets of items into different pools and detecting defective members based on the set of tes ...

Institute of Electrical and Electronics Engineers2011

Neuromuscular Modeling and Visualization of the Human Lower Extremities

Anders Sandholm

Today the field of neuromuscular simulations is widely used to understand the underlying dynamics of the movement of living beings, from gait research, treatment of patient with gait problems, to the teaching of physicians and the development of ergonomic ...

EPFL2011

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

Martin Vetterli, Olivier Roy, Yue Lu, Ali Hormati

We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin to a Slepian-Wolf setup, but in the sampling rather than the lossless compres ...

2010

Improving life cycle-based exploration methods by coupling sensitivity analysis and metamodels

Graph Chatbot

Chat with Graph Search

Compressive Spectral Clustering

Random sampling of bandlimited signals on graphs

Sampling-Based Nuclear Data Uncertainty Quantification for Continuous Energy Monte Carlo Codes

Too much success for recent groundbreaking epigenetic experiments

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Refurbishment of Existing Envelopes in Residential Buildings: assessing robust solutions for future climate change

Linear Bayesian Reinforcement Learning

Group Testing with Probabilistic Tests: Theory, Design and Application

Neuromuscular Modeling and Visualization of the Human Lower Extremities

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

Compressive Spectral Clustering

Random sampling of bandlimited signals on graphs

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Refurbishment of Existing Envelopes in Residential Buildings: assessing robust solutions for future climate change

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

Sampling-Based Nuclear Data Uncertainty Quantification for Continuous Energy Monte Carlo Codes

Too much success for recent groundbreaking epigenetic experiments

Neuromuscular Modeling and Visualization of the Human Lower Extremities

Group Testing with Probabilistic Tests: Theory, Design and Application

Linear Bayesian Reinforcement Learning