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Related publications (28)

Annealing and Replica-Symmetry in Deep Boltzmann Machines

Emanuele Mingione, Diego Alberici

In this paper we study the properties of the quenched pressure of a multi-layer spin-glass model (a deep Boltzmann Machine in artificial intelligence jargon) whose pairwise interactions are allowed between spins lying in adjacent layers and not inside the ...

SPRINGER2020

Exploiting Errors for Efficiency: A Survey from Circuits to Applications

Babak Falsafi, Alexandros Daglis, Eva Darulova, Mattia Cacciotti, Damien Zufferey, Dorde Jevdic, Sasa Misailovic

When a computational task tolerates a relaxation of its specification or when an algorithm tolerates the effects of noise in its execution, hardware, system software, and programming language compilers or their runtime systems can trade deviations from cor ...

ASSOC COMPUTING MACHINERY2020

Private and Secure Distributed Learning

Georgios Damaskinos

The ever-growing number of edge devices (e.g., smartphones) and the exploding volume of sensitive data they produce, call for distributed machine learning techniques that are privacy-preserving. Given the increasing computing capabilities of modern edge de ...

EPFL2020

Stretchable Kirigami Components for Composite Meso-Scale Robots

Jamie Paik, Amir Firouzeh, Tatsuya Higashisaka

Layer-by-layer manufacturing of composite mechanisms allows fast and cost-effective fabrication of customized robots in millimeter and centimeter scales which is promising for research fields that rely on frequent and numerous physical iterations. Due to t ...

2020

Estimating The Degree of Sleepiness by Integrating Articulatory Feature Knowledge In Raw Waveform Based CNNs

Julian David Fritsch, Subrahmanya Pavankumar Dubagunta

Speech-based degree of sleepiness estimation is an emerging research problem. This paper investigates an end-to-end approach, where given raw waveform as input, a convolutional neural network (CNN) estimates at its output the degree of sleepiness. Within t ...

IEEE2020

Regulating the anomalous Hall and Nernst effects in Heusler-based trilayers

Jean-Philippe Ansermet, Haiming Yu, Simon Granville, Sa Tu, Junfeng Hu, Song Liu

Anomalous Hall and anomalous Nernst properties of thin MgO/Co-2Fe0.4Mn0.6Si/Pd stacks with perpendicular magnetic anisotropy (PMA) revealed the presence of the magnetic proximity effect (MPE) in the Pd layer. The MPE is evidenced by nanometer range thickne ...

2020

Reliable and Robust Cyber-Physical Systems for Real-Time Control of Electric Grids

Wajeb Saab

Real-time control of electric grids is a novel approach to handling the increasing penetration of distributed and volatile energy generation brought about by renewables. Such control occurs in cyber-physical systems (CPSs), in which software agents maintai ...

EPFL2019

Single crystalline diamond diffractive optical elements and method of fabricating the same

Niels Quack, Teodoro Graziosi, Marcell Kristof Kiss

The present invention concerns a single crystalline diamond optical element production method. The method includes the steps of: ‐ providing a single crystalline diamond substrate or layer; ‐ applying a mask layer to the single crystalline diamond substrat ...

2019

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