output
20062026
most citedTests of General Relativity with Binary Black Holes from the second LIGO-Virgo Gravitational-Wave Transient Catalog

807 citations

Showing 2023Show all

8 papers · 1 filter

cs.CV2023★ 7 cited

MAAIP: Multi-Agent Adversarial Interaction Priors for imitation from fighting demonstrations for physics-based characters

Mohamed Younes, Ewa Kijak, Richard Kulpa +2

Simulating realistic interaction and motions for physics-based characters is of great interest for interactive applications, and automatic secondary character animation in the movi…

math-ph2023★ 1 cited

Dynamics of mean-field Fermi systems with nonzero pairing

Stefano Marcantoni, Marcello Porta, Julien Sabin

We study the dynamics of many-body Fermi systems, for a class of initial data which are close to quasi-free states exhibiting a nonvanishing pairing matrix. We focus on the mean-fi…

math.ST2023

Identifiability of total effects from abstractions of time series causal graphs

Charles K. Assaad, Emilie Devijver, Eric Gaussier +2

We study the problem of identifiability of the total effect of an intervention from observational time series in the situation, common in practice, where one only has access to abs…

physics.optics2023★ 22 cited

Effects of cavity nonlinearities and linear losses on silicon microring-based reservoir computing

Bernard J. Giron Castro, Christophe Peucheret, Darko Zibar +1

Microring resonators (MRRs) are promising devices for time-delay photonic reservoir computing, but the impact of the different physical effects taking place in the MRRs on the rese…

cs.LG2023

Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment

François Painblanc, Laetitia Chapel, Nicolas Courty +3

While large volumes of unlabeled data are usually available, associated labels are often scarce. The unsupervised domain adaptation problem aims at exploiting labels from a source…

stat.ME2023★ 1 cited

Adaptive functional principal components analysis

Sunny G. W. Wang, Valentin Patilea, Nicolas Klutchnikoff

Functional data analysis almost always involves smoothing discrete observations into curves, because they are never observed in continuous time and rarely without error. Although s…

cs.RO2023★ 7 cited

Input State Stability of Gated Graph Neural Networks

Antonio Marino, Claudio Pacchierotti, Paolo Robuffo Giordano

In this paper, we aim to find the conditions for input-state stability (ISS) and incremental input-state stability (ISS) of Gated Graph Neural Networks (GGNNs). We show that thi…

cs.CV2023★ 4 cited

Change detection needs change information: improving deep 3D point cloud change detection

Iris de Gélis, Thomas Corpetti, Sébastien Lefèvre

Change detection is an important task that rapidly identifies modified areas, particularly when multi-temporal data are concerned. In landscapes with a complex geometry (e.g., urba…