180 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université Paris-SaclayFR185 papers
- Centre National de la Recherche ScientifiqueFR119 papers
- Institut national de recherche en sciences et technologies du numériqueFR29 papers
- Laboratoire Interdisciplinaire de PhysiqueFR26 papers
- Sorbonne UniversitéFR20 papers
- Centre Inria de SaclayFR17 papers
- CentraleSupélecFR15 papers
- Local Initiatives Support CorporationUS15 papers
- Université Paris CitéFR15 papers
- Universidad Complutense de MadridES14 papers
- École Normale Supérieure - PSLFR11 papers
- Gleason (United States)US10 papers
49 papers · 1 filter
A Multi-Task, Multi-Modal Approach for Predicting Categorical and Dimensional Emotions
Alex-Răzvan Ispas, Théo Deschamps-Berger, Laurence Devillers
Speech emotion recognition (SER) has received a great deal of attention in recent years in the context of spontaneous conversations. While there have been notable results on datase…
How digital will the future be? Analysis of prospective scenarios
Aurélie Bugeau, Anne-Laure Ligozat
With the climate change context, many prospective studies, generally encompassing all areas of society, imagine possible futures to expand the range of options. The role of digital…
Enhancing Data-Assimilation in CFD using Graph Neural Networks
Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini +1
We present a novel machine learning approach for data assimilation applied in fluid mechanics, based on adjoint-optimization augmented by Graph Neural Networks (GNNs) models. We co…
Configuring an heterogeneous smartgrid network: complexity and approximations for tree topologies
Dominique Barth, Thierry Mautor, Dimitri Watel +1
We address the problem of configuring a power distribution network with reliability and resilience objectives by satisfying the demands of the consumers and saturating each product…
Roadmap on machine learning glassy dynamics
Gerhard Jung, Rinske M. Alkemade, Victor Bapst +10
Unraveling the connections between microscopic structure, emergent physical properties, and slow dynamics has long been a challenge when studying the glass transition. The absence…
Auto-survey Challenge
Thanh Gia Hieu Khuong, Benedictus Kent Rachmat
We present a novel platform for evaluating the capability of Large Language Models (LLMs) to autonomously compose and critique survey papers spanning a vast array of disciplines in…
End-to-End Continuous Speech Emotion Recognition in Real-life Customer Service Call Center Conversations
Yajing Feng, Laurence Devillers
Speech Emotion recognition (SER) in call center conversations has emerged as a valuable tool for assessing the quality of interactions between clients and agents. In contrast to co…
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network
Haozhe Sun, Isabelle Guyon, Felix Mohr +1
It has become mainstream in computer vision and other machine learning domains to reuse backbone networks pre-trained on large datasets as preprocessors. Typically, the last layer…
Modularity in Deep Learning: A Survey
Haozhe Sun, Isabelle Guyon
Modularity is a general principle present in many fields. It offers attractive advantages, including, among others, ease of conceptualization, interpretability, scalability, module…
Two-player Domino games
Benjamin Hellouin de Menibus, Rémi Pallen
We introduce a 2-player game played on an infinite grid, initially empty, where each player in turn chooses a vertex and colours it. The first player aims to create some pattern fr…
Visualizing Information on Smartwatch Faces: A Review and Design Space
Alaul Islam, Tingying He, Anastasia Bezerianos +3
We present a systematic review and design space for visualizations on smartwatches and the context in which these visualizations are displayed--smartwatch faces. A smartwatch face…
The -weak order and -permutahedra II: The combinatorial complex of pure intervals
Cesar Ceballos, Viviane Pons
This paper introduces the geometric foundations for the study of the -permutahedron and the -associahedron, two objects that encode the underlying geometric structure of the…
Earthquake-like dynamics in ultrathin magnetic film
Gianfranco Durin, Vincenzo Maria Schimmenti, Marco Baiesi +6
We study the motion of a domain wall on an ultrathin magnetic film using the magneto-optical Kerr effect (MOKE). At tiny magnetic fields, the wall creeps only via thermal activatio…
Training dynamic models using early exits for automatic speech recognition on resource-constrained devices
George August Wright, Umberto Cappellazzo, Salah Zaiem +5
The ability to dynamically adjust the computational load of neural models during inference is crucial for on-device processing scenarios characterised by limited and time-varying c…
The -binding function of -directional segment graphs
Lech Duraj, Ross J. Kang, Hoang La +4
Given a positive integer , the class -DIR is defined as all those intersection graphs formed from a finite collection of line segments in having at most s…
A pragma based C++ framework for hybrid quantum/classical computation
Arnaud Gazda, Oceane Koska
Quantum computers promise exponential speed ups over classical computers for various tasks. This emerging technology is expected to have its first huge impact in High Performance C…
Vulgar Remarks Detection in Chittagonian Dialect of Bangla
Tanjim Mahmud, Michal Ptaszynski, Fumito Masui
The negative effects of online bullying and harassment are increasing with Internet popularity, especially in social media. One solution is using natural language processing (NLP)…
MeTACAST: Target- and Context-aware Spatial Selection in VR
Lixiang Zhao, Tobias Isenberg, Fuqi Xie +2
We propose three novel spatial data selection techniques for particle data in VR visualization environments. They are designed to be target- and context-aware and be suitable for a…
Evaluating the structure of cognitive tasks with transfer learning
Bruno Aristimunha, Raphael Y. de Camargo, Walter H. Lopez Pinaya +3
Electroencephalography (EEG) decoding is a challenging task due to the limited availability of labelled data. While transfer learning is a promising technique to address this chall…
Semantic enrichment towards efficient speech representations
Gaëlle Laperrière, Ha Nguyen, Sahar Ghannay +2
Over the past few years, self-supervised learned speech representations have emerged as fruitful replacements for conventional surface representations when solving Spoken Language…
Boolean dimension of a Boolean lattice
Marcin Briański, Jędrzej Hodor, Hoang La +2
For every integer with , we prove that the Boolean dimension of a poset consisting of all the subsets of equipped with the inclusion relation is stric…
Design Characterization for Black-and-White Textures in Visualization
Tingying He, Yuanyang Zhong, Petra Isenberg +1
We investigate the use of 2D black-and-white textures for the visualization of categorical data and contribute a summary of texture attributes, and the results of three experiments…
Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil
Rahul Sundar, Dipanjan Majumdar, Didier Lucor +1
Recently, physics informed neural networks (PINNs) have been explored extensively for solving various forward and inverse problems and facilitating querying applications in fluid m…
Exploring Attention Mechanisms for Multimodal Emotion Recognition in an Emergency Call Center Corpus
Théo Deschamps-Berger, Lori Lamel, Laurence Devillers
The emotion detection technology to enhance human decision-making is an important research issue for real-world applications, but real-life emotion datasets are relatively rare and…