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Information-driven transitions in projections of underdamped dynamics

Related publications (33)

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Approximate Probabilistic Tree Indexing for Partitionable Data

Anastasia Ailamaki, Manoussos Gavriil Athanassoulis

Today we experience a shift both in storage technologies and in workloads characteristics. Firstly, solid state disks (SSD) (using flash, PCM or other low-level technologies) emerge as viable competitors of hard disk drives (HDD). Secondly, the increasing ...

2013

Quotient-method Algorithms for Input-affine Single-input Nonlinear Systems

Willson Sudarsandhari Shibani

Many real-world systems are intrinsically nonlinear. This thesis proposes various algorithms for designing control laws for input-affine single-input nonlinear systems. These algorithms, which are based on the concept of quotients used in nonlinear control ...

EPFL2012

Path Processing using Solid State Storage

Manoussos Gavriil Athanassoulis

Recent advances in solid state technology have led to the introduction of Solid State Drives (SSDs). Todays SSDs store data persistently using NAND ﬂash memory. While SSDs are more expensive than hard disks when measured in dollars per gigabyte, they are s ...

2012

Brain decoding: Opportunities and challenges for pattern recognition

Dimitri Nestor Alice Van De Ville

The neuroimaging community heavily relies on statistical inference to explain measured brain activity given the experimental paradigm. Undeniably, this method has led to many results, but it is limited by the richness of the generative models that are depl ...

Elsevier2012

Comparison of measured and simulated fast ion velocity distributions in the TEXTOR tokamak

Mattia Albergante, Otto Asunta

Here we demonstrate a comprehensive comparison of collective Thomson scattering (CTS) measurements with steady-state Monte Carlo simulations performed with the ASCOT and VENUS codes. The measurements were taken at a location on the magnetic axis as well as ...

2011

Learning Low-Dimensional Signal Models

Volkan Cevher

Sampling, coding, and streaming even the most essential data, e.g., in medical imaging and weather-monitoring applications, produce a data deluge that severely stresses the avail able analog-to-digital converter, communication bandwidth, and digital-storag ...

Institute of Electrical and Electronics Engineers2011

Sparse Approximations Of Protein Structure From Noisy Random Projections

Victor Panaretos, Kjell Konis

Single-particle electron microscopy is a modern technique that biophysicists employ to learn the structure of proteins. It yields data that consist of noisy random projections of the protein structure in random directions, with the added complication that ...

2011

Low-dimensional models for dimensionality reduction and signal recovery: A geometric perspective

Volkan Cevher

We compare and contrast from a geometric perspective a number of low-dimensional signal models that support stable information-preserving dimensionality reduction. We consider sparse and compressible signal models for deterministic and random signals, stru ...

2010

On Random Tomography with Unobservable Projection Angles

Victor Panaretos

We formulate and investigate a statistical inverse problem of a random tomographic nature, where a probability density function on

\mathbb{R}^3

is to be recovered from observation of finitely many of its two-dimensional projections in random and unobserv ...

Institute of Mathematical Statistics2009

A compressive beamforming method

Volkan Cevher

Compressive Sensing (CS) is an emerging area which uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. This paper considers the direction-of-arrival (DOA) estimation ...

2008

On Random Tomography with Unobservable Projection Angles

Victor Panaretos

We formulate and investigate a statistical inverse problem of a random tomographic nature, where a probability density function on

\mathbb{R}^3

is to be recovered from observation of finitely many of its two-dimensional projections in random and unobserv ...

Institute of Mathematical Statistics2009