Concept
Epsilon d'une machine
Publications associées (44)
On the Sums over Inverse Powers of Zeros of the Hurwitz Zeta Function and Some Related Properties of These Zeros
Recently, we have applied the generalized Littlewood theorem concerning contour integrals of the logarithm of the analytical function to find the sums over inverse powers of zeros for the incomplete gamma and Riemann zeta functions, polygamma functions, an ...
MDPI2024Impact of Redundancy on Resilience in Distributed Optimization and Learning
This paper considers the problem of resilient distributed optimization and stochastic learning in a server-based architecture. The system comprises a server and multiple agents, where each agent has its own local cost function. The agents collaborate with ...
New York2023Singular quadratic eigenvalue problems: linearization and weak condition numbers
Daniel Kressner, Ivana Sain Glibic
The numerical solution of singular eigenvalue problems is complicated by the fact that small perturbations of the coefficients may have an arbitrarily bad effect on eigenvalue accuracy. However, it has been known for a long time that such perturbations are ...
SPRINGER2023Bed Topography Inference from Velocity Field Using Deep Learning.
Christophe Ancey, Mehrdad Kiani Oshtorjani
Measuring bathymetry has always been a major scientific and technological challenge. In this work, we used a deep learning technique for inferring bathymetry from the depth-averaged velocity field. The training of the neural network is based on 5742 labora ...
2023TimeEvolver: A program for time evolution with improved error bound
We present TimeEvolver, a program for computing time evolution in a generic quantum system. It relies on well-known Krylov subspace techniques to tackle the problem of multiplying the exponential of a large sparse matrix iH, where His the Hamiltonian, with ...
ELSEVIER2022How important are the residual nonadiabatic couplings for an accurate simulation of nonadiabatic quantum dynamics in a quasidiabatic representation?
Diabatization of the molecular Hamiltonian is a standard approach to remove the singularities of nonadiabatic couplings at conical intersections of adiabatic potential energy surfaces. In general, it is impossible to eliminate the nonadiabatic couplings en ...
2021ColTraIn: Co-located DNN training and inference
Mario Paulo Drumond Lages De Oliveira
Deep neural network inference accelerators are deployed at scale to accommodate online services, but face low average load because of service demand variability, leading to poor resource utilization. Unfortunately, reclaiming inference idle cycles is diffi ...
EPFL2020Differentially Private Release of Synthetic Graphs
We propose a (epsilon, delta)-differentially private mechanism that, given an input graph G with n vertices and m edges, in polynomial time generates a synthetic graph G' approximating all cuts of the input graph up to an additive error of O (root mn/epsil ...
ASSOC COMPUTING MACHINERY2020Global Flux-Driven Simulations of Ion Temperature-Gradient and Trapped-Electron Modes Driven Turbulence with an Improved Multithreaded Gyrokinetic PIC Code
Performance of tokamak fusion plasmas is heavily linked to the radial heat and particle transport,
which is known to be mainly produced by turbulence driven by micro-instabilities. Understanding such
processes is thus of key importance for the design and o ...
EPFL2019PyLandStats: An open-source Pythonic library to compute landscape metrics
Quantifying the spatial pattern of landscapes has become a common task of many studies in landscape ecology. Most of the existing software to compute landscape metrics is not well suited to be used in interactive environments such as Jupyter notebooks nor ...
2019