518 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université Toulouse III - Paul SabatierFR332 papers
- Institut de Recherche en Informatique de ToulouseFR331 papers
- Université Toulouse - Jean JaurèsFR329 papers
- Institut Polytechnique de BordeauxFR326 papers
- Centre National de la Recherche ScientifiqueFR159 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR78 papers
- Université de ToulouseFR51 papers
- Institut National Polytechnique de ToulouseFR43 papers
- Toulouse School of EconomicsFR31 papers
- École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique, d'Hydraulique et des TélécommunicationsFR20 papers
- Institut national de recherche en sciences et technologies du numériqueFR16 papers
- Institut de Mathématiques de ToulouseFR15 papers
37 papers · 1 filter
Quantum Algorithm for Signal Denoising
Sayantan Dutta, Adrian Basarab, Denis Kouamé +1
This letter presents a novel \textit{quantum algorithm} for signal denoising, which performs a thresholding in the frequency domain through amplitude amplification and using an ada…
HLoOP -- Hyperbolic 2-space Local Outlier Probabilities
Clémence Allietta, Jean-Philippe Condomines, Jean-Yves Tourneret +1
Hyperbolic geometry has recently garnered considerable attention in machine learning due to its capacity to embed hierarchical graph structures with low distortions for further dow…
Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability
Céline Comte, Matthieu Jonckheere, Jaron Sanders +1
In this paper, we introduce a policy-gradient method for model-based reinforcement learning (RL) that exploits a type of stationary distributions commonly obtained from Markov deci…
RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction
Baptiste Brument, Robin Bruneau, Yvain Quéau +5
This paper introduces a versatile paradigm for integrating multi-view reflectance (optional) and normal maps acquired through photometric stereo. Our approach employs a pixel-wise…
Two Approaches to the Identity of Processes in BFO
Fumiaki Toyoshima, Adrien Barton
This paper aims to explore processes and their identity with a focus on the upper ontology Basic Formal Ontology (BFO). We begin with a classification based on two basic classes of…
Exploring Semi-supervised Hierarchical Stacked Encoder for Legal Judgement Prediction
Nishchal Prasad, Mohand Boughanem, Taoufiq Dkaki
Predicting the judgment of a legal case from its unannotated case facts is a challenging task. The lengthy and non-uniform document structure poses an even greater challenge in ext…
Parallel variational quantum algorithms with gradient-informed restart to speed up optimisation in the presence of barren plateaus
Daniel Mastropietro, Georgios Korpas, Vyacheslav Kungurtsev +1
Inspired by the Fleming-Viot stochastic process, we propose a parallel implementation of variational quantum algorithms with the aim of reducing the time spent by the algorithm in…
Variational Bayes image restoration with compressive autoencoders
Maud Biquard, Marie Chabert, Florence Genin +2
Regularization of inverse problems is of paramount importance in computational imaging. The ability of neural networks to learn efficient image representations has been recently ex…
DECWA : Density-Based Clustering using Wasserstein Distance
Nabil El Malki, Robin Cugny, Olivier Teste +1
Clustering is a data analysis method for extracting knowledge by discovering groups of data called clusters. Among these methods, state-of-the-art density-based clustering methods…
Analogical Proportions and Creativity: A Preliminary Study
Stergos Afantenos, Henri Prade, Leonardo Cortez Bernardes
Analogical proportions are statements of the form " is to as is to ", which expresses that the comparisons of the elements in pair and in pair yield…
Powerset multi-class cross entropy loss for neural speaker diarization
Alexis Plaquet, Hervé Bredin
Since its introduction in 2019, the whole end-to-end neural diarization (EEND) line of work has been addressing speaker diarization as a frame-wise multi-label classification probl…
AbCD: A Component-wise Adjustable Framework for Dynamic Optimization Problems
Alexandre Mascarenhas, Yuri Lavinas, Claus Aranha
Dynamic Optimization Problems (DOPs) are characterized by changes in the fitness landscape that can occur at any time and are common in real world applications. The main issues to…
On Two- and Three-valued Semantics for Impure Simplicial Complexes
Hans van Ditmarsch, Roman Kuznets, Rojo Randrianomentsoa
Simplicial complexes are a convenient semantic primitive to reason about processes (agents) communicating with each other in synchronous and asynchronous computation. Impure simpli…
Estimating Digital Product Trade through Corporate Revenue Data
Viktor Stojkoski, Philipp Koch, Eva Coll +1
Despite global efforts to harmonize international trade statistics, our understanding of digital trade and its implications remains limited. Here, we introduce a method to estimate…
Refutation of Shapley Values for XAI -- Additional Evidence
Xuanxiang Huang, Joao Marques-Silva
Recent work demonstrated the inadequacy of Shapley values for explainable artificial intelligence (XAI). Although to disprove a theory a single counterexample suffices, a possible…
Belief revision and incongruity: is it a joke?
Florence Dupin de Saint Cyr - Bannay, Henri Prade
Incongruity often makes people laugh. You have to be smart to say stupid things. It requires to be even smarter for understanding them. This paper is a shameless attempt to formali…
Audio classification with Dilated Convolution with Learnable Spacings
Ismail Khalfaoui-Hassani, Timothée Masquelier, Thomas Pellegrini
Dilated convolution with learnable spacings (DCLS) is a recent convolution method in which the positions of the kernel elements are learned throughout training by backpropagation.…
A Hierarchical Neural Framework for Classification and its Explanation in Large Unstructured Legal Documents
Nishchal Prasad, Mohand Boughanem, Taoufik Dkaki
Automatic legal judgment prediction and its explanation suffer from the problem of long case documents exceeding tens of thousands of words, in general, and having a non-uniform st…
A Refutation of Shapley Values for Explainability
Xuanxiang Huang, Joao Marques-Silva
Recent work demonstrated the existence of Boolean functions for which Shapley values provide misleading information about the relative importance of features in rule-based explanat…
How to Design and Deliver Courses for Higher Education in the AI Era: Insights from Exam Data Analysis
Ahmad Samer Wazan, Imran Taj, Abdulhadi Shoufan +2
In this position paper, we advocate for the idea that courses and exams in the AI era have to be designed based on two factors: (1) the strengths and limitations of AI, and (2) the…
Decentralized Smart Charging of Large-Scale EVs using Adaptive Multi-Agent Multi-Armed Bandits
Sharyal Zafar, Raphaël Feraud, Anne Blavette +2
The drastic growth of electric vehicles and photovoltaics can introduce new challenges, such as electrical current congestion and voltage limit violations due to peak load demands.…
Deep Unrolling for Nonconvex Robust Principal Component Analysis
Elizabeth Z. C. Tan, Caroline Chaux, Emmanuel Soubies +1
We design algorithms for Robust Principal Component Analysis (RPCA) which consists in decomposing a matrix into the sum of a low rank matrix and a sparse matrix. We propose a deep…
Comparing the Update Expressivity of Communication Patterns and Action Models
Armando Castañeda, Hans van Ditmarsch, David A. Rosenblueth +1
Any kind of dynamics in dynamic epistemic logic can be represented as an action model. Right? Wrong! In this contribution we prove that the update expressivity of communication pat…
BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models
Marvin Lavechin, Yaya Sy, Hadrien Titeux +5
Self-supervised techniques for learning speech representations have been shown to develop linguistic competence from exposure to speech without the need for human labels. In order…