Program of the next seminar
May 22, 2026
Find all practical information on the TV screens at Centre Inria d'Université Côte d'Azur
11:00 - 11:10
Amel Bakhouche
3IA Ph.D. student (Université Côte d'Azur)
Supervised by Juliette Raffort-Lareyre, Fellow
Flash presentation | Multi-State Analysis of Peripheral Artery Disease Outcomes Using the SNDS Database
Abstract: Peripheral artery disease (PAD) is associated with major adverse outcomes including recurrence, amputation, and death. Using the French nationwide SNDS database, this work aims to model patient trajectories through a multi-state approach to better understand disease progression and clinical outcomes over time.
11:10 - 11:30
Iuliu Cuceu
Ph.D. student (Observatoire de la Côte d'Azur)
Supervisors: Nelson L. Christensen, Astrid Lamberts
LISA stochastic gravitational wave component separation with diffusion
Abstract: The numerous sources that the future space-based gravitational wave detector LISA will observe pose a unique data analysis challenge, with the most promising current avenue being a Global Fit, a simultaneous inference of all sources. This entails performing parameter estimation at an unprecedented scale, with the resolvable sources requiring up to hundreds of thousands of parameters to be estimated over the 4-year life span of the mission. Within the LISA Global fit, stochastic sources, from instrumental noise, to the galactic foreground and astrophysical or cosmological backgrounds, are particularly relevant, not only due to the astrophysical interest, but also due to their effect on the quality of the inference of all other deterministic sources. Issues such as non-gaussianity, due to poor subtraction of deterministic signals, or data gaps, scheduled and unscheduled, provide a unique opportunity for machine learning to augment traditional Bayesian methods. We present a stochastic signal inference framework for LISA data analysis, based on simulation based inference (SBI), with a state-of-the-art all-in-one framework, the Simformer. The transformer diffusion parameter-data joint inference network provides the extra level of flexibility that the data quality aspects of LISA Global Fit require.
11:30 - 11:50
Federica Granese
Researcher (Centre Inria d'Université Côte d'Azur)
Topic Models for Online Analysis of Document Streams
Abstract: In an era where information flows faster than ever, understanding large textual corpora requires tools capable not only of discovering salient topics, i.e., coherent groups of words representing themes in a text, but also of tracking how these themes emerge, persist, transform, or disappear over time. While online topic models provide a natural framework for this task, they remain far less explored than their offline counterparts. In this context, two challenges are particularly central. First, choosing the number of topics, which is often fixed a priori and poorly suited to evolving corpora. Second, tracking topics across timesteps, ensuring that recurring themes at different moments are recognized as the same rather than mistakenly treated as new ones. In this talk, I will present SB-SETM, a model specifically designed to address both challenges.
11:50 - 12:00
Open discussion about all the contributions
Event open to 3IA Chairholders and theirs teams, as well as everyone from 3IA consortium interested in AI.
Got questions? Contact us by email: 3IA.communication@univ-cotedazur.fr.
- Past Seminars: 2025-2026
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Doctoral & Postdoctoral Seminar #54
Speakers:
- Maya Guy, 3IA Ph.D. student (Université Côte d'Azur), Chair of Vincent Vandewalle | Flash presentation - Unveiling Hidden Structures in the Main Belt: A Probabilistic Framework for Asteroid Families
- Rafael Silva, 3IA Ph.D. student (Inria), Chair of Maxime Sermesant | Frugal Deep Learning for Shockable Rhythm Detection in Ultra-Portable Defibrillators
- Ameer Saadat-Yazdi, Postdoctoral researcher (Inria) | Studies Show That Whatever I Say is True: Source-Based Arguments and Citation Misuse
Doctoral & Postdoctoral Seminar #53
Speakers:
- Matheus de Oliveira Bispo, 3IA Postdoc researcher (Inria), Chair of Pierre-Alexandre Mattei | Flash presentation - Machine Learning for Sample-Efficient Molecular Property Prediction
- Amelie Lam, Ph.D. student (Observatoire de la Côte d'Azur), co-supervised by Héloïse Meheut and André Ferrari | CNN-Augmented Fluid Solver for Capturing Fine-Scale Turbulence
- Margaux Schmied, 3IA Ph.D. student (Université Côte d'Azur / CNRS), Chair of Jean-Charles Régin | Solver and Generator of Cryptarithm Using Constraint Programming
Doctoral & Postdoctoral Seminar #52
Speakers:
- Simon Queric, 3IA Ph.D. student (Inria), Chair of Charles Bouveyron | Flash presentation - A quick overview of Optimal Transport in Machine Learning
- Maria Sofia Bucarelli, 3IA Postdoc researcher (Université Côte d'Azur / CNRS), Chair of Emanuele Natale | Task Singular Vectors: Reducing Task Interference in Model Merging
- Hugo Bulzomi, Ph.D. student (Université Nice Côte d'Azur, IMRA Europe), co-supervised by Jean Martinet and Yuta Nakano | Neuromorphic Computing for Low Energy Computer Vision
Doctoral & Postdoctoral Seminar #51
Speakers:
- Diana Sebbar, 3IA Director, and Serena Villata, 3IA Scientific Director | Greetings and announcement from the new 3IA Management
- Mariam Grigoryan, Ph.D. student (Université Côte d'Azur / Inria), Chair of Vincent Vandewalle | Secreted proteins as early, sensitive indicators of chemical bioactivity
- Marco Winkler, Professor (Université Côte d'Azur) | Principles of Analytic Provenance for Intelligence Augmentation : a case study of search interactions
Doctoral & Postdoctoral Seminar #50
Speakers:
- Ezem Sura Ekmekci, Ph.D. student (Inria), Chair of Nicholas Ayache | Flash presentation - Temporal Action Segmentation for Robot-Assisted Surgery Analysis
- Yingxue Fu, Postdoctoral researcher (Université Côte d'Azur) | Contextualizing Toxicity: An Annotation Framework for Unveiling Pragmatics in Conversations of Online Discussion Forums
- Seydina Niang, Ph.D. student (Université Côte d'Azur / Inria), Chair of Charles Bouveyron | Importance weighted directed graph variational auto-encoder for block modelling of complex networks
Doctoral & Postdoctoral Seminar #49
Speakers:
- Raphaël Razafindralambo, Ph.D. student (Inria), Chair of Pierre-Alexandre Mattei | Flash presentation - When are Two Scores Better than One? Investigating Ensemble of Diffusion Models
- Nissim Maruani, Ph.D. student (Inria), Chair of Pierre Alliez | Flash presentation - ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion
- Davide Ferre', Ph.D. student (CNRS) | Constructions in mathematics with a little help from AI
Doctoral & Postdoctoral Seminar #48
Speakers:
- Deborah Dore, Ph.D. student (CNRS), Chair of Serena Villata | Flash presentation: Comprehensive Emotion Understanding and Applications
- Louis Hauseux, Ph.D. student (Inria), Konstantin Avrachenko | Generalization of Single-Linkage with Higher-Order Interactions
- Andrea Nasi, Ph.D. student (Università degli Studi di Torino) | Ontology-Driven Interfaces for Spatio-Temporal Exploration of Cultural Landscapes
Doctoral & Postdoctoral Seminar #47
Speakers:
- Seongro Yoon, Ph.D. student (Inria), Chair of François Bremond | Flash presentation: Comprehensive Emotion Understanding and Applications
- Federica Facente, Ph.D. student (Inria), Chair of Pierre Berthet-Rayne | Multi-stage CNN for fast registration of 3D preoperative CTs to 2D intraoperative X-rays
- Vincenzo Marciano, Ph.D. student (EURECOM), Chairs of Sébastien Ourselin & Maria A. Zuluaga | Diffusion-Based Quality Control of Medical Image Segmentations across Multiple Organs
- Past Seminars: 2024-2025
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Doctoral & Postdoctoral Seminar #46
Speakers:
- Guillaume Méroué (Inria, Université Côte d'Azur, CNRS, I3S - PhD) | Flash presentation - Neural-based Analogical Reasoning for Link Prediction in Knowledge Graphs
- Clara Thomas (Inria - PhD) | How to reduce the energy consumption of an industrial Pick and Place Robot
- Nicolás Ocampo (Centrum Wiskunde & Informatica - Postdoc) | Where lies Meet Hate : Combating Harmful Misinformation Online
Doctoral & Postdoctoral Seminar #45
Speakers:
- Madina Bekbergenova (Université Côte d'Azur - ICN, PhD) | Flash presentation: MetaboT: AI-based agent for natural language-based interaction with metabolomics knowledge graphs
- Xufeng Zhang (Inria - Team Neo, PhD) | Memory-efficient online caching Policies with regret guarantees
- Cloé Mahé (Université Côte d'Azur, PhD) | First robust census of binary supermassive black holes : Deep Learning techniques applied to the Euclid space mission.
Doctoral & Postdoctoral Seminar #44
Speakers:
- Manasi Kattel (Inria, PhD) | Flash presentation: MRI-Ultrasound Image Registration for Prostate Cancer Care
- Francesco Diana (Inria, PhD) | Attribute Inference Attacks for Federated Regression Tasks
- Alexey Sergeyev (Université Côte d'Azur, Researcher) | Asteroids in the Digital Age: Insights from Modern Sky Surveys
Doctoral & Postdoctoral Seminar #43
Speakers:
- Xufeng Zhang (Inria, PhD) | Flash presentation: Online optimistic caching with switching cost
- Lisa Guzzi (Inria, PhD) | Differentiable Soft Morphological Filters for Improving Arterial Segmentation in Peripheral Artery Disease
- Luc Lehéricy (Université Côte d'Azur, Researcher) | Deconvolution with unknown noise distribution for structured signals
Doctoral & Postdoctoral Seminar #42
Speakers:
- Morgane Fierville (IPMC CNRS - Université Côte d'Azur) | Flash presentation: Spatial transcriptomics of the human lung from health to pathologies
- Davide Adamo (PhD, CEPAM lab / INRIA) | Rethinking Multiple Kernel Learning under the lenses of Variational Inference
- Emmanuel Bouilhol (Postdoc, I3S Université Côte d'Azur) | ECMQuant: Quantitative Analysis of the Tumor Extracellular Matrix in Head and Neck cancer
Doctoral & Postdoctoral Seminar #41
Speakers:
- Seydina Niang (PhD, Université Côte d'Azur / Inria) | Flash presentation: Deep generative models for the joint analysis of networks and continuous
- Greta Damo (PhD, Université Côte d'Azur / Inria) | Detecting and Countering Hate Speech Messages on Social Media
- Benjamin Billot (Researcher, INRIA) | Domain-agnostic segmentation of brain MRI scans
Doctoral & Postdoctoral Seminar #40
Speakers:
- Olivier Bisson (PhD, INRIA) | Flash presentation: Geometry, stratification and applications of structured correlation matrices
- Tomasz Stanczyk (PhD, INRIA) | Temporally Propagated Masks and Bounding Boxes: Combining the Best of Both Worlds for Multi-Object Tracking
- Jean-Pierre Merlet (3IA Chairholder, INRIA) | Solving parametric systems of equations with neural network
Doctoral & Postdoctoral Seminar #39
Speakers:
- Margaux SCHMIED (PhD, UCA) | Flash presentation: Improving assignment problems with costs
- Victor DAVID (Researcher, INRIA) | An Axiomatic Study of the Evaluation of Enthymeme Decoding in Weighted Structured Argumentation
- Rémy SUN (Researcher, INRIA) |
Doctoral & Postdoctoral Seminar #38
Speakers:
- Rafael Silva (PhD, Inria) | Flash presentation: Signal Processing and Artificial Intelligence for Cardiac Monitoring
- Eloise Da Cunha (PhD, UCA) | Speech-Based Detection of Motor and Physical Deficits in the geriatric population
- Valeriia Rezapova (PhD, UCA) | Computational analysis on mature osteoclast transcriptome revealed the existence of 3 osteoclast lineages with different functional, metabolic and regulatory properties
Doctoral & Postdoctoral Seminar #37
Speakers:
- Vincenzo Marciano (PhD, EURECOM) | Flash presentation
- Mariam Grigoryan (PhD, Inria) | Identification of Molecular Patterns for Chemical Safety Assessment
- Mathieu Carrière (Research Scientist, Inria) | Diffeomorphic interpolation for efficient topological optimization
- Past Seminars: 2023-2024
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Doctoral & Postdoctoral Seminar #36
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
Doctoral & Postdoctoral Seminar #35
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
Doctoral & Postdoctoral Seminar #34
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
Doctoral & Postdoctoral Seminar #31
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
Doctoral & Postdoctoral Seminar #30
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
Doctoral & Postdoctoral Seminar #29
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
Doctoral & Postdoctoral Seminar #28
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
Doctoral & Postdoctoral Seminar #27
Speakers:
- Faisal Jayousi (CNRS) | Geometric and statistical analysis of the extracellular matrix
- Oualid Zari (EURECOM) | Privacy Attacks in Machine Learning and Defenses
- Past Seminars: 2022-2023
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Doctoral & Postdoctoral Seminar #26
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
Doctoral & Postdoctoral Seminar #25
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
Doctoral & Postdoctoral Seminar #24
Speakers:
- Zhijie Fang (Inria) | Landmark detection via convolutional neural network
- Josué Tchouanti (CNRS LJAD) | Detection of neural synchronization and implication for neuroscience experimental design
Doctoral & Postdoctoral Seminar #23
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
Doctoral & Postdoctoral Seminar #22
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
Doctoral & Postdoctoral Seminar #21
Speakers:
- David Loiseaux (Inria) | Towards multiparameter persistent homology descriptors for machine learning
- Alessandro Betti (Inria) | Deep Learning to See
Doctoral & Postdoctoral Seminar #20
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
Doctoral & Postdoctoral Seminar #19
Speakers:
- Lucia Innocenti (Inria) | Analysis of Multi-centric AI-based frame-works in prostate segmentation
- Riccardo Taiello (Inria) | Privacy Preserving Image Registration
Doctoral & Postdoctoral Seminar #18
Speakers:
- Rémi Felin (UCA, I3S) | Optimizing the Computation of a Possibilistic Heuristic to Test OWL 2 SubClassOf Axioms Against RDF Data
- Huiyu Li (Inria, Epione) | Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?
Doctoral & Postdoctoral Seminar #17
Speakers:
- Benjamin Ocampo (UCA, I3S) | "We Need Two Poke Flutes to Wake You Up'' an In-depth Analysis of Implicit and Subtle Hate Speech Messages
- Tong Zhao (Inria) | Progressive Discrete Domains for Implicit Surface Reconstruction
- Past Seminars: 2021-2022
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Doctoral & Postdoctoral Seminar #16
Speakers:
- Prof. Ludovic Dibiaggio | Introduction to the OTESIA institute
- Daniel Inzunza (Inria) | PINNs approach for traffic model calibration
- Angelo Rodio (Inria) | Resource-aware Federated Learning
Doctoral & Postdoctoral Seminar #15
Speakers:
- Andrea Castagnetti (UCA, LEAT) | Neural information coding for efficient spike-based image denoising
- Christos Bountzouklis (UCA, LJAD) | Environmental factors affecting wildfire-burned areas in southeastern France
Doctoral & Postdoctoral Seminar #14
Speakers:
- Antonia Ettorre (UCA, I3S) | A systematic approach to identify the information captured by Knowledge Graph Embeddings
- Victoriya Kashtanova (Inria) | Deep Learning Approach for Cardiac Electrophysiology Modeling
Doctoral & Postdoctoral Seminar #13
Speakers:
- Aude Sportisse (Inria) | Informative labels in Semi-Supervised Learning
- Alexandra Würth (Inria) | Data driven traffic management by Macroscopic models
Doctoral & Postdoctoral Seminar #12
Speakers:
- Hind Dadoun (Inria) | AI-based Real Time Diagnosis of Abdominal Ultrasound Images
- Victor Jung (UCA) | Checking Constraint Satisfaction
Doctoral & Postdoctoral Seminar #11
Speakers:
- Bogdan Kozyrskiy (EURECOM) | Binarization for Optical Processing Units via REINFORCE
- Paul Tourniaire (Inria) | Attention-based Multiple Instance Learning for Histopathology
Doctoral & Postdoctoral Seminar #10
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
Doctoral & Postdoctoral Seminar #9
Speakers:
- Santiago Marro (CNRS) | Natural Language Argumentation Quality Assessment maps
- Artem Muliukov (UCA) | Cortex-inspired multimodal AI approach based on self-organizing
Doctoral & Postdoctoral Seminar #8
Speakers:
- Kristof Huszar (Inria) | Towards Efficient Algorithms in Computational Topology
- Mauro Zucchelli (Inria) | Diffusion MRI based Brain Tissue Microstructure Characterization Using Autoencoder Neural-Networks
Doctoral & Postdoctoral Seminar #7
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
Doctoral & Postdoctoral Seminar #6
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
- Past Seminars: 2020-2021
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Doctoral & Postdoctoral Seminar #5
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
Doctoral & Postdoctoral Seminar #4
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
Doctoral & Postdoctoral Seminar #3
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
Doctoral & Postdoctoral Seminar #2
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
Doctoral & Postdoctoral Seminar #1