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