output
20132026
most citedModulating early visual processing by language

298 citations

Showing 2020Show all

25 papers · 1 filter

cs.CV2020★ 63 cited

Dynamic Facial Expression Recognition under Partial Occlusion with Optical Flow Reconstruction

Delphine Poux, Benjamin Allaert, Nacim Ihaddadene +3

Video facial expression recognition is useful for many applications and received much interest lately. Although some solutions give really good results in a controlled environment…

stat.ME2020

Group design in group testing for COVID-19 : A French case-study

Tifaout Almeftah, Luce Brotcorne, Diego Cattaruzza +5

Group testing is a screening strategy that involves dividing a population into several disjointed groups of subjects. In its simplest implementation, each group is tested with a si…

cs.LO2020★ 2 cited

Extending Equational Monadic Reasoning with Monad Transformers

Reynald Affeldt, David Nowak

There is a recent interest for the verification of monadic programs using proof assistants. This line of research raises the question of the integration of monad transformers, a st…

stat.ML2020★ 5 cited

Sub-sampling for Efficient Non-Parametric Bandit Exploration

Dorian Baudry, Emilie Kaufmann, Odalric-Ambrym Maillard

In this paper we propose the first multi-armed bandit algorithm based on re-sampling that achieves asymptotically optimal regret simultaneously for different families of arms (name…

cs.LG2020★ 3 cited

Learning Value Functions in Deep Policy Gradients using Residual Variance

Yannis Flet-Berliac, Reda Ouhamma, Odalric-Ambrym Maillard +1

Policy gradient algorithms have proven to be successful in diverse decision making and control tasks. However, these methods suffer from high sample complexity and instability issu…

cs.LG2020★ 1 cited

Improved Exploration in Factored Average-Reward MDPs

Mohammad Sadegh Talebi, Anders Jonsson, Odalric-Ambrym Maillard

We consider a regret minimization task under the average-reward criterion in an unknown Factored Markov Decision Process (FMDP). More specifically, we consider an FMDP where the st…

astro-ph.GA2020★ 20 cited

Quantitative inference of the column densities from 3 mm molecular emission: A case study towards Orion B

Pierre Gratier, Jérôme Pety, Emeric Bron +21

Molecular hydrogen being unobservable in cold molecular clouds, the column density measurements of molecular gas currently rely either on dust emission observation in the far-IR or…

eess.SP2020★ 239 cited

Channel Estimation for Intelligent Reflecting Surface Assisted MIMO Systems: A Tensor Modeling Approach

Gilderlan T. de Araújo, André L. F. de Almeida, Rémy Boyer

Intelligent reflecting surface (IRS) is an emerging technology for future wireless communications including 5G and especially 6G. It consists of a large 2D array of (semi-)passive…

astro-ph.GA2020★ 25 cited

Tracers of the ionization fraction in dense and translucent gas: I. Automated exploitation of massive astrochemical model grids

Emeric Bron, Evelyne Roueff, Maryvonne Gerin +21

The ionization fraction plays a key role in the physics and chemistry of the neutral interstellar medium, from controlling the coupling of the gas to the magnetic field to allowing…

cs.DB2020

Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries

Pierre Bourhis, Daniel Deutch, Yuval Moskovitch

The algebraic approach for provenance tracking, originating in the semiring model of Green et. al, has proven useful as an abstract way of handling metadata. Commutative Semirings…

stat.ML2020

Learning from DPPs via Sampling: Beyond HKPV and symmetry

Rémi Bardenet, Subhroshekhar Ghosh

Determinantal point processes (DPPs) have become a significant tool for recommendation systems, feature selection, or summary extraction, harnessing the intrinsic ability of these…

cs.FL2020

A note on the class of languages generated by F-systems over regular languages

Jorge C. Lucero, Sławek Staworko

An F-system is a computational model that performs a folding operation on words of a given language, following directions coded on words of another given language. This paper consi…

math.CO2020★ 1 cited

Non-monotone target sets for threshold values restricted to , , and the vertex degree

Julien Baste, Stefan Ehard, Dieter Rautenbach

We consider a non-monotone activation process on a graph , where , for ever…

cs.LG2020★ 3 cited

Planning in Markov Decision Processes with Gap-Dependent Sample Complexity

Anders Jonsson, Emilie Kaufmann, Pierre Ménard +3

We propose MDP-GapE, a new trajectory-based Monte-Carlo Tree Search algorithm for planning in a Markov Decision Process in which transitions have a finite support. We prove an uppe…

cs.SD2020★ 3 cited

Modeling Baroque Two-Part Counterpoint with Neural Machine Translation

Eric P. Nichols, Stefano Kalonaris, Gianluca Micchi +1

We propose a system for contrapuntal music generation based on a Neural Machine Translation (NMT) paradigm. We consider Baroque counterpoint and are interested in modeling the inte…

cs.LG2020

Disentangled Representation Learning and Generation with Manifold Optimization

Arun Pandey, Michael Fanuel, Joachim Schreurs +1

Disentanglement is a useful property in representation learning which increases the interpretability of generative models such as Variational autoencoders (VAE), Generative Adversa…

astro-ph.GA2020★ 42 cited

C18O, 13CO, and 12CO abundances and excitation temperatures in the Orion B molecular cloud: An analysis of the precision achievable when modeling spectral line within the Local Thermodynamic Equilibrium approximation

Antoine Roueff, Maryvonne Gerin, Pierre Gratier +23

CO isotopologue transitions are routinely observed in molecular clouds to probe the column density of the gas, the elemental ratios of carbon and oxygen, and to trace the kinematic…

cs.NE2020★ 6 cited

On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D

Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe +2

This paper intends to understand and to improve the working principle of decomposition-based multi-objective evolutionary algorithms. We review the design of the well-established M…

cs.MM2020

JPEG Steganography and Synchronization of DCT Coefficients for a Given Development Pipeline

Théo Taburet, Patrick Bas, Wadih Sawaya +1

This short paper proposes to use the statistical analysis of the correlation between DCT coefficients to design a new synchronization strategy that can be used for cost-based stega…

stat.CO2020★ 3 cited

Fast sampling from -ensembles

Guillaume Gautier, Rémi Bardenet, Michal Valko

We study sampling algorithms for -ensembles with time complexity less than cubic in the cardinality of the ensemble. Following Dumitriu & Edelman (2002), we see the ensemble as…

cs.LO2020★ 1 cited

A Trustful Monad for Axiomatic Reasoning with Probability and Nondeterminism

Reynald Affeldt, Jacques Garrigue, David Nowak +1

The algebraic properties of the combination of probabilistic choice and nondeterministic choice have long been a research topic in program semantics. This paper explains a formaliz…

astro-ph.IM2020★ 25 cited

Parallel faceted imaging in radio interferometry via proximal splitting (Faceted HyperSARA): I. Algorithm and simulations

Pierre-Antoine Thouvenin, Abdullah Abdulaziz, Arwa Dabbech +2

Upcoming radio interferometers are aiming to image the sky at new levels of resolution and sensitivity, with wide-band image cubes reaching close to the Petabyte scale for SKA. Mod…

cs.DB2020

Constant-Delay Enumeration for Nondeterministic Document Spanners

Antoine Amarilli, Pierre Bourhis, Stefan Mengel +1

We consider the information extraction framework known as document spanners, and study the problem of efficiently computing the results of the extraction from an input document, wh…

cs.CV2020★ 6 cited

Improving STDP-based Visual Feature Learning with Whitening

Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco

In recent years, spiking neural networks (SNNs) emerge as an alternative to deep neural networks (DNNs). SNNs present a higher computational efficiency using low-power neuromorphic…