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Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems"

Related publications (51)

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Noise analysis of genome-scale protein synthesis using a discrete computational model of translation

Vassily Hatzimanikatis, Julien Racle, Adam Stefaniuk

Noise in genetic networks has been the subject of extensive experimental and computational studies. However, very few of these studies have considered noise properties using mechanistic models that account for the discrete movement of ribosomes and RNA pol ...

Amer Inst Physics2015

Electronic-health or E-health is a broad area of engineering that leverages transducer, circuit and systems technologies for applications to health management and lifestyle. Scientific challenges relate to the acquisition of accurate medical information fr ...

IEEE2015

E-Health: From Sensors to Systems

Giovanni De Micheli

2015

Optimal Proximity Proofs

Serge Vaudenay

Provably secure distance-bounding is a rising subject, yet an unsettled one; indeed, very few distance-bounding protocols, with formal security proofs, have been proposed. In fact, so far only two protocols, namely SKI (by Boureanu et al.) and FO (by Fisch ...

Springer2015

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Wireless Body Sensor Nodes (WBSNs) are miniaturized and ultra-low-power devices, able to acquire and wirelessly trans- mit biosignals such as electrocardiograms (ECG) for extended periods of times and with little discomfort for subjects [1]. Energy efficie ...

2014

Investigation of the dominant 1/f noise source in silicon nanowire sensors

Sara Rigante, Jan Brunner, Christian David

We analyzed 1/f noise in silicon nanowire ion-sensitive field-effect transistors (SiNW-ISFETs) having different wire widths ranging from 100 nm to 1 pin and operated under different gating conditions in order to determine the noise source and the sensor ac ...

Elsevier2014

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An analytical model for the depletion length of modulation instability in single-mode optical fibres is proposed. The model gives the possibility to determine the maximum sensing distance that distributed optical fibre sensors can reach before being limite ...

SPIE2014

Beyond KernelBoost

Pascal Fua, Vincent Lepetit, Roberto Rigamonti

In this Technical Report we propose a set of improvements with respect to the KernelBoost classifier presented in [Becker et al., MICCAI 2013]. We start with a scheme inspired by Auto-Context, but that is suitable in situations where the lack of large trai ...

2014

Low-Noise, High-Density Microelectronics for Multi-Mode Screening of Excitable Biological Cells

Urs Alexander Müller

In the past decades, two recording tools have established themselves as the working horses in the field of electrophysiological cell research: the microelectrode array (MEA) and the optical fluorescence imaging. The former is a grid of miniature electrodes ...

EPFL2012

Bits from Photons

Feng Yang

The trends in the design of image sensors are to build sensors with low noise, high sensitivity, high dynamic range, and small pixel size. How can we benefit from pixels with small size and high sensitivity? In this dissertation, we study a new image senso ...

EPFL2012