Doctoral & Postdoctoral Seminar

Speakers:

• Pierpaolo Goffredo (PhD, CNRS - I3S) | Argument-based Detection and Classification of Fallacies in Political Debates
• Célian Ringwald (PhD, Inria - I3S) | Impact of Syntaxes on Data Extraction with Language Models

Speakers:

• Edoardo Sarti (permanent researcher, INRIA) | Spectral partitioning into protein structural domains
• Lucile Sassatelli (full professor, Université Côte d'Azur) | Visual objectification in films as a new AI task

Speakers:

• Gonzague Radureau (PhD, OCA) | A new high-performance computation method of the Eddington tensor in radiation hydrodynamics simulation
• Stefan Sarkadi (KCL, INRIA) | Deceptive AI and Society

Speakers:

• Ryan Cotsakis (UniCA) | The extremal range: a local statistic for studying spatial extremes
• Sara Frusone (UniCA) | Identifying spatiotemporal dispersion in catheter ablation of persistent atrial fibrillation: a comparative study of machine learning techniques using both real and realistic synthetic multipolar electrograms

Speakers:

• Francesco Galati (EURECOM) | A Single Model Strategy for Multi-Domain Cerebrovascular Segmentation
• Luca Calatroni (CNRS, I3S) | Physics-inspired learning for fluctuation-based super-resolution microscopy

Speakers:

• Hava Chaptoukaev (EURECOM) | AI for e-health: Stress Identification from Multimodal Data
• Louis Ohl (Inria) | Generalised mutual information (GEMINI) - A constellation of discriminative clustering models

Speakers:

• Matej Hladis (UniCA) | Matching receptor to odorant with protein language and graph neural networks
• Elena Di Bernardino (3IA chair, UniCA) | Geometry of excursion sets: a statistical and computational point of view

Speakers:

• Faisal Jayousi (CNRS) | Geometric and statistical analysis of the extracellular matrix 
• Oualid Zari (EURECOM) | Privacy Attacks in Machine Learning and Defenses

Speakers:

• Nissim Maruani (Inria) | VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams
• Julien Aubert (CNRS) | On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm

Speakers:

• Stefano Spaziani (CNRS) | Estimating the functional connectivity in the brain via a multiscale spike-LFP autoregressive model
• Virginia d'Auria (invited researcher) | Quantum information science

Speakers:

• Zhijie Fang (Inria) | Landmark detection via convolutional neural network
• Josué Tchouanti (CNRS LJAD) | Detection of neural synchronization and implication for neuroscience experimental design

Speakers:

• Thi Khuyen Le (Inria) | Comparison of handcrafted radiomics and 3D-CNN models to diagnose striatal dopamine deficiency in Parkinsonian syndromes based on ¹⁸F-FDOPA PET images
• Irene Balelli (external researcher - Inria) | The search for causality in the analysis and modeling of biomedical data

Speakers:

• Valerya Strizhkova (Inria) | Multi-View Video Masked Autoencoder for Emotion Recognition
• Lucie Cadorel (invited outside 3IA - I3S & Inria) | Geospatial Knowledge in Real Estate Listings : Extracting and Localizing Uncertain Spatial Information from Text

Speakers:

• David Loiseaux (Inria) | Towards multiparameter persistent homology descriptors for machine learning
• Alessandro Betti (Inria) | Deep Learning to See

Speakers:

• Yacine Khacef (Université Côte d'Azur) | High-Resolution Traffic Monitoring with Distributed Acoustic Sensing and AI
• Daniel Inzunza (Inria) | A PINN approach for traffic state estimation and model calibration based on loop detector flow data

Speakers:

• Lucia Innocenti (Inria) | Analysis of Multi-centric AI-based frame-works in prostate segmentation
• Riccardo Taiello (Inria) | Privacy Preserving Image Registration

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Speakers:

• Hind Dadoun (Inria) | AI-based Real Time Diagnosis of Abdominal Ultrasound Images
• Victor Jung (UCA) | Checking Constraint Satisfaction

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Speakers:

• Bogdan Kozyrskiy (EURECOM) | Binarization for Optical Processing Units via REINFORCE
• Paul Tourniaire (Inria) | Attention-based Multiple Instance Learning for Histopathology

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Speakers:

• Etrit Haxholli (Inria) | On the Estimation of Shape Parameters of Tails of Marginal Distributions
• Cedric Vincent-Cuaz (UCA) | Semi-relaxed Gromov-Wasserstein divergence with applications on graphs

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Speakers:

• Santiago Marro (CNRS) | Natural Language Argumentation Quality Assessment maps
• Artem Muliukov (UCA) | Cortex-inspired multimodal AI approach based on self-organizing 

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Speakers:

• Kristof Huszar (Inria) | Towards Efficient Algorithms in Computational Topology
• Mauro Zucchelli (Inria) | Diffusion MRI based Brain Tissue Microstructure Characterization Using Autoencoder Neural-Networks

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Speakers:

• Vasiliki Stergiopoulou (CNRS) | COL0RME: Super-Resolution Microscopy Based on the Localization of Sparse Blinking Fluorophores
• Ali Ballout (UCA) | Predicting the Possibilistic Score of Atomic Candidate OWL Axioms

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Speakers:

• Hugo Schmutz (Inria) | Towards safe deep semi-supervised learning
• Amirhossein Tavakoli (MINES ParisTech) | Hybrid combinatorial optimization and machine learning algorithms for energy-efficient water network

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Speakers:

• Ayse Unsal (Eurecom) | A Statistical Threshold for Adversarial Classification in Laplace Mechanisms
• Ashwin James (CNRS) | Inference of choice granularity via learning model selection in a cognitive task 

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Speakers:

• Mohsen Tabejamaat (Inria) | Conditional image generation using structural priors
• William Hammersley (UCA) | Randomizing gradient descents on the space of probability measures
• Athanasios Vasileiadis (UCA) | Exploration noise for Mean Field Games

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Speakers:

• Amar Bouali (3IA Côte d'Azur) | Introduction to the Partnership and Innovation initiatives of 3IA Côte d'Azur
• Antoine Collin (CNRS) | Automatic cell type annotation for cell atlas construction
• Ziming Liu (Inria) | High-resolution Detection Network for Small Objects

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Speakers:

• Aurélie Delort (3IA Côte d'Azur) | Presentation of the Education & Training program
• Boris Shminke (CNRS) | Using Denoising Autoencoder for Cayley table completion task
• Dingge Liang (Inria) | A Deep Latent Recommender System based on User Ratings and Reviews
• Martijn Van Den Ende (UCA) | Fibre-optics, earthquakes, and a zebra: intelligent signal denoising with Deep Learning

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