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Lancet: A self-correcting Latency Measuring Tool

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Publications associées (39)

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Multi-armed Bandits in Action

Farnood Salehi

Making decisions is part and parcel of being human. Among a set of actions, we want to choose the one that has the highest reward. But the uncertainty of the outcome prevents us from always making the right decision. Making decisions under uncertainty can ...

EPFL2020

Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees

Boi Faltings, Aleksei Triastcyn

We consider the problem of enhancing user privacy in common data analysis and machine learning development tasks, such as data annotation and inspection, by substituting the real data with samples from a generative adversarial network. We propose employing ...

MDPI2022

A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers

Philip Neil Garner

Neural Network (NN) classifiers can assign extreme probabilities to samples that have not appeared during training (out-of-distribution samples) resulting in erroneous and unreliable predictions. One of the causes for this unwanted behaviour lies in the us ...

IEEE Institute of Electrical and Electronics Engineers2020

MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation

Alexandre Massoud Alahi, Sven Kreiss, Lorenzo Bertoni

We tackle the fundamentally ill-posed problem of 3D human localization from monocular RGB images. Driven by the limitation of neural networks outputting point estimates, we address the ambiguity in the task by predicting confidence intervals through a loss ...

2019

Online tools to easily build virtual molecular models for display in augmented and virtual reality on the web

Matteo Dal Peraro, Fabio Jose Cortes Rodriguez

Several groups developed in the last years augmented and virtual reality (AR/VR) software to visualize 3D molecules, most rather static, limited in content, and requiring software installs, some even requiring expensive hardware. We launched in 2020 molecu ...

ELSEVIER SCIENCE INC2022

Contributions to Likelihood-Based Modelling of Extreme Values

Léo Raymond-Belzile

xtreme value analysis is concerned with the modelling of extreme events such as floods and heatwaves, which can have large impacts. Statistical modelling can be useful to better assess risks even if, due to scarcity of measurements, there is inherently ver ...

EPFL2019

Statistical inference in ensemble modeling of cellular metabolism

Vassily Hatzimanikatis, Marc-Olivier Boldi, Tuure Eelis Hameri

Kinetic models of metabolism can be constructed to predict cellular regulation and devise metabolic engineering strategies, and various promising computational workflows have been developed in recent years for this. Due to the uncertainty in the kinetic pa ...

2019

MRI T2 Mapping of the Knee Providing Synthetic Morphologic Images: Comparison to Conventional Turbo Spin-Echo MRI

Tobias Kober, Tom Hilbert

Background: Use of a T2 mapping sequence in addition to the conventional knee MRI protocol increases sensitivity to early cartilage lesions but is time consuming. ...

RADIOLOGICAL SOC NORTH AMERICA2019

Zero-rate Reliability Function for Mismatched Decoding

Marco Bondaschi

We derive an upper bound on the reliability function of mismatched decoding for zero-rate codes. The bound is based on a result by Komlos that shows the existence of a subcode with certain symmetry properties. The bound is shown to coincide with the expurg ...

IEEE2021

A search for Xi(++)(cc) -> D(+)pK(-)pi(+) decays

Jian Wang, Mingkui Wang, Olivier Schneider, Zhirui Xu, Yiming Li, Yi Zhang, Lei Zhang, Yi Wang, Aurelio Bay, Guido Haefeli, Jessica Prisciandaro, Tatsuya Nakada, Christoph Frei, Mark Tobin, Frédéric Blanc, Greig Alan Cowan, Maurizio Martinelli, Vladislav Balagura, Donal Patrick Hill, Liang Sun, François Fleuret, Mirco Dorigo, Jean Wicht, Liupan An, Elena Graverini, Renato Quagliani, Hang Yin, Guido Andreassi, Maria Vieites Diaz, Olivier Göran Girard, Aravindhan Venkateswaran, Michel De Cian, Vladimir Macko, Federico Leo Redi, Luis Miguel Garcia Martin, Tommaso Colombo, Vitalii Lisovskyi, Tara Nanut, Minh Tâm Tran, Violaine Bellée, Guillaume Max Pietrzyk, Pavol Stefko, Pietro Marino, Matthieu Philippe Luther Marinangeli, Albert Puig Navarro, Maria Elena Stramaglia, Ana Bárbara Rodrigues Cavalcante, Luca Pescatore, Preema Rennee Pais, Maxime Schubiger, Katharina Müller, Plamen Hristov Hopchev, Chitsanu Khurewathanakul, Thi Dung Nguyen, Mâu Chung Nguyên, Axel Kuonen, Vincenzo Battista, Brice Emile Maurin

A search for the Xi(++)(cc) baryon through the Xi(++)(cc) -> D(+)pK(-)pi(+) decay is performed with a data sample corresponding to an integrated luminosity of 1.7 fb(-1) recorded by the LHCb experiment in pp collisions at a centre-of-mass energy of 13 TeV. ...

Springer Nature2019

The Impact of Changes in Resolution on the Persistent Homology of Images

Adélie Eliane Garin

Digital images enable quantitative analysis of material properties at micro and macro length scales, but choosing an appropriate resolution when acquiring the image is challenging. A high resolution means longer image acquisition and larger data requiremen ...

IEEE2021

Self-Supervision By Prediction For Object Discovery In Videos

Pascal Frossard, Beril Besbinar

Despite their irresistible success, deep learning algorithms still heavily rely on annotated data, and unsupervised settings pose many challenges, such as finding the right inductive bias in diverse scenarios. In this paper, we propose an object-centric mo ...

IEEE2021

First measurement of the CKM angle phi(3) with B-+/--> D(K-S(0)pi(+)pi(-)pi(0)) K-+/- decays

Mingkui Wang, Olivier Schneider, Chao Wang, Yiming Li, Sun Hee Kim

We present the first model-independent measurement of the CKM unitarity triangle angle phi(3) using B-+/--> D(K-S(0)pi(+)pi(-)pi(0)) K-+/- decays, where D indicates either a D-0 or (D) over bar (0) meson. Measurements of the strong-phase difference of the ...

Springer Nature2019

Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images

Jean-Philippe Thiran, Seyedbehzad Bozorgtabar, Thomas Yu, Mohammad Saeed Rad

Existing reference (RF)-based super-resolution (SR) models try to improve perceptual quality in SR under the assumption of the availability of high-resolution RF images paired with low-resolution (LR) inputs at testing. As the RF images should be similar i ...

IEEE COMPUTER SOC2021

Multisymplectic Variational Integrators for Fluid Models with Constraints

François Marie Alain Demoures

We present a structure preserving discretization of the fundamental spacetime geometric structures of fluid mechanics in the Lagrangian description in 2D and 3D. Based on this, multisymplectic variational integrators are developed for barotropic and incomp ...

SPRINGER INTERNATIONAL PUBLISHING AG2021

Search for the Lepton-Flavor-Violating Decays B-s(0) -> pi(+/-mu -/+) and B-0 -> tau(+/-mu -/+)

Jian Wang, Olivier Schneider, Zhirui Xu, Yiming Li, Lei Zhang, Yi Wang, Aurelio Bay, Ho Ling Li, Guido Haefeli, Tatsuya Nakada, Christoph Frei, Mark Tobin, Frédéric Blanc, Greig Alan Cowan, Maurizio Martinelli, Vladislav Balagura, Donal Patrick Hill, Liang Sun, Pietro Marino, François Fleuret, Mirco Dorigo, Liupan An, Renato Quagliani, Maxime Schubiger, Hang Yin, Maria Vieites Diaz, Aravindhan Venkateswaran, Elena Graverini, Michel De Cian, Vladimir Macko, Federico Leo Redi, Luis Miguel Garcia Martin, Sebastian Schulte, Tommaso Colombo, Vitalii Lisovskyi, Tara Nanut, Minh Tâm Tran, Violaine Bellée, Guillaume Max Pietrzyk, Pavol Stefko, Lino Ferreira Lopes, Mingkui Wang, Matthieu Philippe Luther Marinangeli, Maria Elena Stramaglia, Surapat Ek-In, Ana Bárbara Rodrigues Cavalcante, Guido Andreassi, Luca Pescatore, Preema Rennee Pais, Yi Zhang, Plamen Hristov Hopchev, Chitsanu Khurewathanakul, Olivier Göran Girard, Veronica Sølund Kirsebom, Axel Kuonen, Vincenzo Battista, Brice Emile Maurin, Ian William Marison, Alexandre Brea Rodriguez

Results are reported from a search for the rare decays B-s(0) -> tau(+/-)mu(+/-) 1T and B -> tau(+/-)mu(+/-), where the r lepton is reconstructed in the channel r- irrg vr. These processes are effectively forbidden in the standard model, hut they can poten ...

AMER PHYSICAL SOC2019

Low Noise Clock Generation: Modeling, Analysis and Implementation

Duygu Kostak

The aim of this thesis is to implement, analyze and improve the selected low noise clock generation and distribution techniques for ADC implementations. The thesis is divided into two parts. The first part focuses on the sampling phase generation and distr ...

EPFL2021

Modeling Dielectric Constant Variability in Aggregate Polymers from CV Measurements

Marco Mattavelli, Jean-Michel Sallese, Catherine Dehollain, Diego Ruben Barrettino, Rosane Moura Dos Santos Barrettino

Recently a new technique based on capacitive sensing has been developed and used to estimate the amount of moisture in polymers by means of the deviation of the dielectric constant. This technique is expected to be used for in-line monitoring of aggregate ...

IEEE2019

Soft Bionic Sensors and Actuators

Jamie Paik

2021