Publications associées à Flux standard

Gemini: Elastic SNARKs for Diverse Environments

We introduce a new class of succinct arguments, that we call elastic. Elastic SNARKs allow the prover to allocate different resources (such as memory and time) depending on the execution environment and the statement to prove. The resulting output is indep ...

SPRINGER INTERNATIONAL PUBLISHING AG2022

Gradient flow emulation using drift diffusion processes

Sanket Sanjay Diwale

The present invention concerns a method of emulating gradient flow for solving a given problem as a charge distribution in a device (1) comprising: first type charge carrier regions (5) interfacing a second type charge carrier region (11) thereby forming c ...

2021

Unsupervised Representation Learning for Gaze Estimation

Jean-Marc Odobez, Yu Yu

Although automatic gaze estimation is very important to a large variety of application areas, it is difficult to train accurate and robust gaze models, in great part due to the difficulty in collecting large and diverse data (annotating 3D gaze is expensiv ...

IEEE2020

Data stream statistics over sliding windows: How to summarize 150 Million updates per second on a single node

Odysseas Papapetrou, Grigorios Chrysos, Dionysios Pnevmatikatos

Traditional data management systems map information using centralized and static data structures. Modern applications need to process in real time datasets much larger than system memory. To achieve this, they use dynamic entities that are updated with str ...

2019

Real-Scenario Testing of an Active Phasor Data Concentrator

Mario Paolone, Asja Derviskadic, Guglielmo Frigo

The privileged position of the Phasor Data Concentrator (PDC) in a synchrophasor-based monitoring system can be exploited to make this device the core of a distributed measurement architecture suitable for control and protection applications in power syste ...

IEEE2019

Big-Data Streaming Applications Scheduling Based on Staged Multi-armed Bandits

David Atienza Alonso, Karim Kanoun, Cem Tekin

Several techniques have been recently proposed to adapt Big-Data streaming applications to existing many core platforms. Among these techniques, online reinforcement learning methods have been proposed that learn how to adapt at run-time the throughput and ...

Institute of Electrical and Electronics Engineers2016

Big-Data Streaming Applications Scheduling Based on Staged Multi-Armed Bandits

David Atienza Alonso, Karim Kanoun, Cem Tekin

Several techniques have been recently proposed to adapt Big-Data streaming applications to existing many core platforms. Among these techniques, online reinforcement learning methods have been proposed that learn how to adapt at run-time the throughput and ...

Institute of Electrical and Electronics Engineers2016

Energy-Efficient Co-Design Optimization of Many-Core Platforms for Big-Data Streaming Applications

Karim Kanoun

Big-Data streaming applications are used in several domains such as social media analysis, financial analysis, video annotation, surveillance, medical services and traffic prediction. These applications, running on different types of platforms from mobile ...

EPFL2015

Low Power and Scalable Many-Core Architecture for Big-Data Stream Computing

David Atienza Alonso, Martino Ruggiero, Karim Kanoun

In the last years the process of examining large amounts of different types of data, or Big-Data, in an effort to uncover hidden patterns or unknown correlations has become a major need in our society. In this context, stream mining applications are now wi ...

IEEE Press2014

IR-UWB transmitter

Jean-Yves Le Boudec, Catherine Dehollain, Edmund James Colli-Vignarelli

A generator of very short pulses where a cascade of inverters of arbitrary length characterized in that said inverters are adapted to produce pulses on their power supply line instead of their usual output. ...

2012