Publications related to Heading Off Correlated Failures through Independence-as-a-Service

Optimal routing and design of CO2 based district anergy networks

One of the main global goals is the reduction of the energy consumption and the most appropriate way for achieving this aim is to target one of most critical sectors, the residential. The selected technology for this work is the district energy network, wh ...

2022

Efficient Max-Pressure Traffic Management for Large-Scale Congested Urban Networks

Nikolaos Geroliminis, Dimitrios Tsitsokas, Anastasios Kouvelas

Traffic responsive signal control systems bear high potential in reducing delays in congested networks due to their ability of dynamically adjusting right-of-way assignment among conflicting movements, based on real-time traffic measurements. In this work, ...

2022

Fair Incentivization of Bandwidth Sharing in Decentralized Storage Networks

Verónica del Carmen Estrada Galiñanes

Peer-to-peer (p2p) networks are not independent of their peers, and the network efficiency depends on peers contributing resources. Because shared resources are not free, this contribution must be rewarded. Peers across the network may share computation po ...

IEEE COMPUTER SOC2022

Critical node selection method for efficient Max-Pressure traffic signal control in large-scale congested networks

Nikolaos Geroliminis, Dimitrios Tsitsokas, Anastasios Kouvelas

Decentralized signal control of congested traffic networks based on the Max-Pressure (MP) controller is theoretically proven to maximize throughput, stabilize the system and balance queues for single intersections under specific conditions. However, its pe ...

2022

Face Reconstruction Fromdeep Facial Embeddings Using A Convolutional Neural Network

Sébastien Marcel, Hatef Otroshi Shahreza

State-of-the-art (SOTA) face recognition systems generally use deep convolutional neural networks (CNNs) to extract deep features, called embeddings, from face images. The face embeddings are stored in the system's database and are used for recognition of ...

IEEE2022

Policy-based Exploration of Equilibrium Representations (PEER): A topology grammar for generative conceptual structural design

Ioannis Mirtsopoulos

Design exploration is a creative process that consists of the incremental generation of design candidates. Supported by digital means or not, the process handles the ill-structured nature of design and allows creativity to flourish through diversity of des ...

EPFL2022

Physics-informed neural networks for diffraction tomography

Demetri Psaltis, Carlo Gigli, Amirhossein Saba Shirvan, Ahmed Ayoub

We propose a physics-informed neural network (PINN) as the forward model for tomographic reconstructions of biological samples. We demonstrate that by training this network with the Helmholtz equation as a physical loss, we can predict the scattered field ...

SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS2022

Relative, local and global dimension in complex networks

Alexis Arnaudon

Dimension is a fundamental property of objects and the space in which they are embedded. Yet ideal notions of dimension, as in Euclidean spaces, do not always translate to physical spaces, which can be constrained by boundaries and distorted by inhomogenei ...

NATURE PORTFOLIO2022

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Wulfram Gerstner, Clément Hongler, Johanni Michael Brea, Francesco Spadaro, Berfin Simsek, Arthur Jacot

We study how permutation symmetries in overparameterized multi-layer neural networks generate `symmetry-induced' critical points. Assuming a network with

L

layers of minimal widths

r_1^*, \ldots, r_{L-1}^*

reaches a zero-loss minimum at $ r_1^*! \c ...

2021

NICEpath: Finding metabolic pathways in large networks through atom-conserving substrate-product pairs

Vassily Hatzimanikatis, Jasmin Maria Hafner

Motivation: Finding biosynthetic pathways is essential for metabolic engineering of organisms to produce chemicals, biodegradation prediction of pollutants and drugs, and for the elucidation of bioproduction pathways of secondary metabolites. A key step in ...

OXFORD UNIV PRESS2021

Heading Off Correlated Failures through Independence-as-a-Service

Graph Chatbot

Chat with Graph Search

Optimal routing and design of CO2 based district anergy networks

Efficient Max-Pressure Traffic Management for Large-Scale Congested Urban Networks

Fair Incentivization of Bandwidth Sharing in Decentralized Storage Networks

Critical node selection method for efficient Max-Pressure traffic signal control in large-scale congested networks

Face Reconstruction Fromdeep Facial Embeddings Using A Convolutional Neural Network

Policy-based Exploration of Equilibrium Representations (PEER): A topology grammar for generative conceptual structural design

Physics-informed neural networks for diffraction tomography

Relative, local and global dimension in complex networks

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

NICEpath: Finding metabolic pathways in large networks through atom-conserving substrate-product pairs

Optimal routing and design of CO2 based district anergy networks

Efficient Max-Pressure Traffic Management for Large-Scale Congested Urban Networks

Critical node selection method for efficient Max-Pressure traffic signal control in large-scale congested networks

Policy-based Exploration of Equilibrium Representations (PEER): A topology grammar for generative conceptual structural design

Relative, local and global dimension in complex networks

NICEpath: Finding metabolic pathways in large networks through atom-conserving substrate-product pairs

Fair Incentivization of Bandwidth Sharing in Decentralized Storage Networks

Physics-informed neural networks for diffraction tomography

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Face Reconstruction Fromdeep Facial Embeddings Using A Convolutional Neural Network