This day is dedicated to PhD students in SCAI doctoral program. It will allow everyone to present their research topics and work over the past year.
2nd year doctoral students will present their main achievements after one year of research (10mn + 5mn questions).
PhD students starting their thesis in 2021 will present their topics (5mn + 5mn questions).
The day will also be an opportunity to present the doctoral program (activities, opportunities, etc.) and to present SCAI and its initiatives to everyone.
Detailed program:
09.00 Welcome & coffee
09.30
Gérard Biau & X. Fresquet
Presentation of SCAI doctoral programme
09.40
Ludovic Arnould
De l’interprétabilité des réseaux de neurones
09.50
Félix Michaud
AI for biodiversity monitoring: data-driven ecoacoustics to explain spatio- temporal dynamics of an ecosystem
10.00
Louis Fournier
Memorization in Deep Learning
10.10
Henoik Willot
Ethique et sincérité des systèmes d’aide à la décision
10.20
Imad Bekkouch
Knowledge Graph Embedding & GAN for Medieval Manuscript Studies
10.30
Marie Dechelle
Deep neural networks for multi-scale modelling of climate data dynamics
10.40
Valentin Lombard
Geometric deep manifold learning combined with NLP for protein movies
10.50
Constantin Bone
Détection et attribution des changements climatiques à l’échelle régionale par méthodes neuronales
11.00 Coffee break
11.20
Ahmed Akakzia
Interaction Learning for Intrinsically Motivated Autonomous Agents
11.30
Mireille Fares
Multimodal modelling of expressivity and alignment for human-machine interaction
11.40
Johann Huber
Learning to grasp
11.50
Marine Buffard
Instagram through the prism of artificial intelligence
12.00
Miguel Alejandro Martinez Herrera
Inférence et tests pour les processus de Hawkes multivariés avec inhibition, application en neurosciences et en génomique
12.10
Theophilos Spyrou
Reliable and functionally safe AI hardware
12.20
Duc-Phong Nguyen
DEEPFACE - Enhanced facial behavior recognition and rehabilitation using 3D biomechanical features and deep learning approaches
12.30 Lunch break
13.30
Lune Maillard
Nested Sampling for Nuclear Quantum Effects (QNEST)
13.40
Thibault Grison
« Discriminations algorithmiques » ? L’intelligence artificielle entre aide à la modération et censure sur les réseaux sociaux numériques
13.50
Margot Hérin
Explainable Sparse Models: a Marriage between Machine Learning and Decision Theory
14.00
O. Vereschak
Understanding and Supporting User Decisions in Human-AI Interaction
14.10
Nai Boonkongkird
Apprentissage profond pour la cosmologie avec la forêt Lyman-Alpha
14.20
Mohamed Ouaguenouni
Critères et méthodes pour l’extension d’une relation d’ordre sur des éléments à des ensembles, et applications en élicitation et en optimisation
14.30
Arthur Filoche
Data Assimilation for Hybrid physical-machine learning models. Application on the nowcasting of precipitations
14.40
Aniss Acherar
Détection et identification de Plasmodiums sur des images microscopiques
14.50
Hamed Rahimi
Sémantisation de corpus scientifiques à large échelle - Application à l’analyse interactive de l’évolution des sciences.
15.00
Jérémy Fersula
Distributed Online Learning in the realm of Active Matter
15.10
Gabriel Mahuas
How do natural convolutional neural networks deal with noise?
15.20
Gauthier Tallec
Multitasking learning method using deep neural networks: application to the identification of respiratory distress.
15.30
Caroline Parfait
Analyse de l’espace littéraire : apprentissage automatique et évaluation des systèmes de reconnaissance des entités nommées
15.40 Coffee break
16.00
Mehdi OUNISSI
Interpretability in Articial Intelligence
16.10
Léon Migus
Deep Neural Networks and Differential Equations
16.20
Ninon Devis
Lightweight deep learning on real-time embedded architectures
16.30
Victor BORDINI
Co-apprentissage robuste
16.40
Maya Sahraoui
Enrichissement joint, bases de connaissances - textes - images, par machine learning dans le contexte de l’identification en biodiversité
16.50
Camilo Sarmiento
Merging action models to non-monotonic and deontic logics in order to simulate ethical reasonings
17.00
Mélina Verger
Multi-criteria analysis of the fairness of educational data mining algorithms