Publications associées à Reed-Muller Codes: Theory and Algorithms

Publications associées (26)

No Complete Problem for Constant-Cost Randomized Communication

We prove that the class of communication problems with public-coin randomized constant-cost protocols, called BPP0, does not contain a complete problem. In other words, there is no randomized constant-cost problem Q ∈ BPP0, such that all other problems P ∈ ...

Association for Computing Machinery2024

Aircraft Departures Management for Low Altitude Air City Transport based on Macroscopic Fundamental Diagram

Nikolaos Geroliminis

Low-altitude aircraft is being developed as a new mode of urban transport. This will give rise to new urban air transport systems, called low-altitude air city transport (LAAT) systems. Recent works show that the Macroscopic Fundamental Diagram (MFD) is a ...

IEEE2023

FM -Directories: Extending the Burrows-Wheeler Transform for String Labeled Vertex Graphs of (Almost) Arbitrary Topology

Marco Mattavelli, Ünsal Öztürk

IEEE COMPUTER SOC2023

How can LLMs transform the robotic design process?

Josephine Anna Eleanor Hughes, Francesco Stella

NATURE PORTFOLIO2023

Source identification via contact tracing in the presence of asymptomatic patients

Miguel-Angel Sanchez Ndoye, Patrick Thiran, Gergely Odor

Inferring the source of a diffusion in a large network of agents is a difficult but feasible task, if a few agents act as sensors revealing the time at which they got hit by the diffusion. One of the main limitations of current source identification algori ...

SPRINGERNATURE2023

Fluid-structure interaction analysis of transcatheter aortic valve implantation

Alfio Quarteroni

Transcatheter aortic valve implantation (TAVI) is a minimally invasive intervention for the treatment of severe aortic valve stenosis. The main cause of failure is the structural deterioration of the implanted prosthetic leaflets, possibly inducing a valvu ...

Wiley2023

Stochastic optimization and Markov chain-based scenario generation for exploiting the underlying flexibilities of an active distribution network

Sidi-Rachid Cherkaoui

This paper proposes a scalable stochastic optimization model and a Markov chain-based scenario generation method to benefit from an active distribution network's (ADN's) flexibility. The optimization variables are the dispatch plan, such as the active and ...

2023

Increasing Loudness In Audio Signals: A Perceptually Motivated Approach To Preserve Audio Quality

Paolo Prandoni

We present a method to maintain the subjective perception of volume of audio signals and, at the same time, reduce their absolute peak value. We focus on achieving this without compromising the perceived audio quality. This is specially useful, for example ...

IEEE2022

64-kB 65-nm GC-eDRAM With Half-Select Support and Parallel Refresh Technique

Andreas Peter Burg, Robert Giterman, Emmanuel Nieto Casarrubias

Gain-cell-embedded DRAM (GC-eDRAM) is an attractive alternative to traditional 6T SRAM, as it offers higher density, lower leakage power, and two-ported functionality. However, its refresh requirement also results in power consumption and memory access lim ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Tunable wavelength-stabilized mode-locked thulium-doped fiber laser beyond 2000nm

Camille Sophie Brès, Moritz Bartnick, Gayathri Bharathan

We demonstrate operation of a tunable mode-locked thulium-doped fiber laser, based on a wavelength-selective chirped fiber Bragg grating (CFBG). By applying strain to the CFBG, we shift its reflection band and can thereby tune the emission-wavelength of th ...

SPIE-INT SOC OPTICAL ENGINEERING2022

Early-stage thermal performance design of thermo-active walls implemented in underground infrastructures

Lyesse Laloui, Alessio Ferrari, Jacopo Zannin

Energy geostructures (EGs) represent an innovative technology in the sustainable energy agenda and are useful for satisfying the energy needs of the built environment. They are usually involving geostructures such as piles, walls, tunnels, shafts, and sewe ...

ELSEVIER2022

The GBS code for the self-consistent simulation of plasma turbulence and kinetic neutral dynamics in the tokamak boundary

Nicola Varini, Paolo Ricci, Davide Galassi, Emmanuel Lanti, Nicolas Richart, Maurizio Giacomin, Gilles Fourestey, Davide Mancini, Louis Nicolas Stenger, André Calado Coroado

A new version of GBS (Ricci et al. (2012) [27]; Halpern et al. J. Comput. Phys. 315 (2016) 388-408; Paruta et al. (2018) [11]) is described. GBS is a three-dimensional, fluxdriven, global, two-fluid turbulence code developed for the self-consistent simulat ...

2022

Overcoming the Domain Gap in Neural Action Representations

Pascal Fua, Pavan P Ramdya, Semih Günel, Sina Honari, Florian Aymanns

Relating behavior to brain activity in animals is a fundamental goal in neuroscience, with practical applications in building robust brain-machine interfaces. However, the domain gap between individuals is a major issue that prevents the training of genera ...

SPRINGER2022

Imaging-based Optofluidic Biosensors Enabled by All-dielectric metasurfaces

Michele De Palma, Hatice Altug, Chiara Cianciaruso, Yasaman Jahani, Eduardo Romero Arvelo

We present optofluidic label-free biosensors leveraging high quality-factor resonances emanated from bound-states-in-the-continuum and novel data processing. The sensors are based on imaging and offer solutions to remove sophisticated spectroscopy instrume ...

IEEE2021

Efficient production of polymer-grade propylene from the propane/ propylene binary mixture using Cu-MOF-74 framework

Mehrdad Asgari

We employ the Cu-MOF-74 framework for the separation of a propane/propylene mixed stream. Performing single and binary component breakthrough experiments demonstrates that this framework has a greater capacity and affinity for propylene relative to propane ...

ELSEVIER2021

Align, then memorise: the dynamics of learning with feedback alignment

Maria Refinetti

Direct Feedback Alignment (DFA) is emerging as an efficient and biologically plausible alternative to backpropagation for training deep neural networks. Despite relying on random feedback weights for the backward pass, DFA successfully trains state-of-the- ...

JMLR-JOURNAL MACHINE LEARNING RESEARCH2021

How isotropic kernels perform on simple invariants

Matthieu Wyart, Stefano Spigler, Jonas Paccolat

We investigate how the training curve of isotropic kernel methods depends on the symmetry of the task to be learned, in several settings. (i) We consider a regression task, where the target function is a Gaussian random field that depends only on d(paralle ...

IOP PUBLISHING LTD2021

Methodologies for Synthesizing and Analyzing Dynamic Dataflow Programs in Heterogeneous Systems for Edge Computing

Marco Mattavelli, Simone Casale Brunet, Aurélien François Gilbert Bloch

The possibility of using the increasing computing power available in cloud infrastructures requires the development of new approaches for application software development and optimization. Emerging edge computing paradigms offer the possibility of reducing ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

WARP : Revisiting GFN for Lightweight 128-Bit Block Cipher

Subhadeep Banik

In this article, we present WARP, a lightweight 128-bit block cipher with a 128-bit key. It aims at small-footprint circuit in the field of 128-bit block ciphers, possibly for a unified encryption and decryption functionality. The overall structure of WARP ...

SPRINGER INTERNATIONAL PUBLISHING AG2021

A 510nW 0.41V Low-Memory Low-Computation Keyword-Spotting Chip Using Serial FFT-Based MFCC and Binarized Depthwise Separable Convolutional Neural Network in 28nm CMOS

Jiangyan Yang, Minhao Yang

IEEE2020