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Publications associées (29)

Logistic regression over encrypted data from fully homomorphic encryption

Zhicong Huang

Background: One of the tasks in the 2017 iDASH secure genome analysis competition was to enable training of logistic regression models over encrypted genomic data. More precisely, given a list of approximately 1500 patient records, each with 18 binary feat ...

2018

Training DNNs with Hybrid Block Floating Point

Babak Falsafi, Martin Jaggi, Tao Lin, Mario Paulo Drumond Lages De Oliveira

The wide adoption of DNNs has given birth to unrelenting computing requirements, forcing datacenter operators to adopt domain-specific accelerators to train them. These accelerators typically employ densely packed full-precision floating-point arithmetic t ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018

Trading off Energy versus Accuracy in Modern Computing Systems : From Digital Circuit Design to Programming Techniques

Jérémy Lucien Maurice Schlachter

The slowdown of Moore's law, which has been the driving force of the electronics industry over the last 5 decades, is causing serious problem to Integrated Circuits (ICs) improvements. Technology scaling is becoming more and more complex and fabrication co ...

EPFL2018

Geometry-aware Deep Network for Single-Image Novel View Synthesis

Mathieu Salzmann

This paper tackles the problem of novel view synthesis from a single image. In particular, we target real-world scenes with rich geometric structure, a challenging task due to the large appearance variations of such scenes and the lack of simple 3D models ...

IEEE2018

Walking, weak first-order transitions, and complex CFTs

Bernardo Zan, Victor Gorbenko

We discuss walking behavior in gauge theories and weak first-order phase transitions in statistical physics. Despite appearing in very different systems (QCD below the conformal window, the Potts model, deconfined criticality) these two phenomena both impl ...

Springer Nature2018

A 10b SAR ADC with Widely Scalable Sampling Rate and AGC Amplifier Front-End

Seyed Armin Tajalli, Yusuf Leblebici, Firat Çelik, Ayça Akkaya

This paper presents a low power successive approximation register (SAR) ADC and its front-end automatic gain control (AGC) amplifier designed in 65nm CMOS technology. Digitally controlled variable gain amplifier (VGA) in AGC loop is used to maximize the dy ...

IEEE2018

Exogenous priority rules for the capacitated passenger assignment problem

Michel Bierlaire, Mohammad Yousef Maknoon, Stefan Yves Gabriel Binder

We propose a novel algorithm for the capacitated passenger assignment problem in public transportation where exogenous priority lists define the order in which passengers are assigned. Separating explicitly theses rules from the assignment procedure allows ...

Pergamon-Elsevier Science Ltd2017

Towards a Compiler for Reals

Viktor Kuncak, Eva Darulova

Numerical software, common in scientific computing or embedded systems, inevitably uses a finite-precision approximation of the real arithmetic in which most algorithms are designed. In many applications, the roundoff errors introduced by finite-precision ...

2017

STEP-NC compliant process planning of additive manufacturing: remanufacturing

Ian Anthony Stroud, Jumyung Um

Additive manufacturing is becoming one of the key methods for reproducing repair sections in remanufacturing processes. The major advantage of using additive processes is to minimize production time and waste. However, the surface quality and shape accurac ...

Springer London Ltd2017

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