4k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR123 papers
- Centre for Research in Astrophysics of QuébecCA107 papers
- Université de MontréalCA52 papers
- University of TorontoCA52 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR51 papers
- Université Paris-SudFR43 papers
- McGill UniversityCA42 papers
- University College LondonGB40 papers
- Canadian Institute for Theoretical AstrophysicsCA35 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR35 papers
- Grand Accélérateur National d'Ions LourdsFR33 papers
- Space Telescope Science InstituteUS33 papers
62 papers · 1 filter
Linear scanning ATR-FTIR for chemical mapping and high-throughput studies of Pseudomonas sp. biofilms in microfluidic channels
Mohammad Pousti, Maxime Joly, Patrice Roberge +3
A fully automated linear scanning attenuated total reflection (ATR) accessory is presented for Fourier transform infrared (FTIR) spectroscopy. The approach is based on the accurate…
SITELLE: An Imaging Fourier Transform Spectrometer for the Canada-France-Hawaii Telescope
Laurent Drissen, Thomas Martin, Laurie Rousseau-Nepton +11
We present an overview of SITELLE, an Imaging Fourier Transform Spectrometer (iFTS) available at the 3.6-meter Canada-France-Hawaii Telescope. SITELLE is a Michelson-type interfero…
Tricomplex Distance Estimation for Filled-in Julia Sets and Multibrot Sets
Pierre-Olivier Parisé, Guillaume Brouillette, Dominic Rochon
In this article, we present a distance estimation formula that can be used to ray trace 3D slices of the filled-in Julia sets and the Multibrot sets generated by the tricomplex pol…
Temporal Regularization in Markov Decision Process
Pierre Thodoroff, Audrey Durand, Joelle Pineau +1
Several applications of Reinforcement Learning suffer from instability due to high variance. This is especially prevalent in high dimensional domains. Regularization is a commonly…
Accumulating Knowledge for Lifelong Online Learning
Changjian Shui, Ihsen Hedhli, Christian Gagné
Lifelong learning can be viewed as a continuous transfer learning procedure over consecutive tasks, where learning a given task depends on accumulated knowledge --- the so-called k…
Deep Photovoltaic Nowcasting
Jinsong Zhang, Rodrigo Verschae, Shohei Nobuhara +1
Predicting the short-term power output of a photovoltaic panel is an important task for the efficient management of smart grids. Short-term forecasting at the minute scale, also kn…
Measurement of the impact of turbulence anisoplanatism on precision free-space optical time transfer
W. C. Swann, M. I. Bodine, I. Khader +4
Future free-space optical clock networks will require optical links for time and frequency transfer. In many potential realizations of these networks, these links will extend over…
Detection of planetary signals by reflected light of the host star using the autocorrelation of spectra
E. F. Borra, D. Deschatelets
We consider an alternative to the cross-correlation function (CCF), that uses the autocor- relation function (ACF), to measure in spectra the reflected light of the stars by their…
Smeared phase transitions in percolation on real complex networks
Laurent Hébert-Dufresne, Antoine Allard
Percolation on complex networks is used both as a model for dynamics on networks, such as network robustness or epidemic spreading, and as a benchmark for our models of networks, w…
Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks
Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Wilson Leão +2
Recently, Deep Neural Networks (DNNs) have been achieving impressive results on wide range of tasks. However, they suffer from being well-calibrated. In decision-making application…
Lidar Measurement Bias Estimation via Return Waveform Modelling in a Context of 3D Mapping
Johann Laconte, Simon-Pierre Deschênes, Mathieu Labussière +1
In a context of 3D mapping, it is very important to get accurate measurements from sensors. In particular, Light Detection And Ranging (LIDAR) measurements are typically treated as…
Inner vectors for Toeplitz operators
Raymond Cheng, Javad Mashreghi, William T. Ross
In this paper we survey and bring together several approaches to obtaining inner functions for Toeplitz operators. These approaches include the classical definition, the Wold decom…
Chemodynamics of dwarf galaxies under ram-pressure
David Williamson, Hugo Martel
By implementing a dynamic wind-tunnel model in a smoothed-particle chemodynamic/hydrodynamic simulation suite, we have investigated the effects of ram pressure and tidal forces on…
Rank--two Euler systems for symmetric squares
Kâzım Büyükboduk, Antonio Lei
Let be a prime number and a normalized eigen-newform with good reduction at such that its -th Fourier coefficient vanishes. We construct a rank-two Euler system…
Spectral dimension reduction of complex dynamical networks
Edward Laurence, Nicolas Doyon, Louis J Dubé +1
Dynamical networks are powerful tools for modeling a broad range of complex systems, including financial markets, brains, and ecosystems. They encode how the basic elements (nodes)…
Weak convergence of a measure-valued process for social networks
Khader Khadraoui, Ahmed Sid-Ali
This article formalizes the problem of modeling social networks into an interacting particle system on random geometric graphs. Each vertex of the graph is associated with a geomet…
Online Mutual Foreground Segmentation for Multispectral Stereo Videos
Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau, Robert Bergevin
The segmentation of video sequences into foreground and background regions is a low-level process commonly used in video content analysis and smart surveillance applications. Using…
Investigation of the quinine sulfate dihydrate spectral properties and its effects on Cherenkov dosimetry
Emilie Jean, Marie-Eve Delage, Luc Beaulieu
Recent studies have proposed that adding quinine to water while performing Cherenkov volumetric dosimetry improves the skewed percent depth dose measurement. The aim of this study…
Femtosecond Optical Two-Way Time-Frequency Transfer in the Presence of Motion
Laura C. Sinclair, Hugo Bergeron, William C. Swann +5
Platform motion poses significant challenges to high-precision optical time and frequency transfer. We give a detailed description of these challenges and their solutions in comb-b…
Time Synchronization over a Free-Space Optical Communication Channel
Isaac Khader, Hugo Bergeron, Laura C. Sinclair +3
Free space optical (FSO) communication channels are typically used to transmit high-speed data between sites over the air. Here we repurpose an FSO digital communication system and…
Femtosecond Synchronization of Optical Clocks Off of a Flying Quadcopter
Hugo Bergeron, Laura C. Sinclair, William C. Swann +5
Future optical clock networks will require free-space optical time-frequency transfer between flying clocks. However, simple one-way or standard two-way time transfer between flyin…
Efficient sampling of spreading processes on complex networks using a composition and rejection algorithm
Guillaume St-Onge, Jean-Gabriel Young, Laurent Hébert-Dufresne +1
Efficient stochastic simulation algorithms are of paramount importance to the study of spreading phenomena on complex networks. Using insights and analytical results from network s…
and regularity of solutions to with form-bounded vector fields
Damir Kinzebulatov
We consider the operator with () in the class of form-bounded vector fields (containing vector fields having c…
X-Ray Polarization Signals from Magnetars with Axion-Like-Particles
Jean-François Fortin, Kuver Sinha
Axion-like-particles (ALPs) produced in the core of a magnetar can convert to photons in the magnetosphere, giving rise to novel features in the X-ray spectrum. Since ALPs only mix…