Doctoral & Postdoctoral Seminar

Program of the next seminar

11:00 - 11:10
Ezem Sura Ekmekci
Ph.D. student (Inria)
Chair of Nicholas Ayache

Flash presentation - Temporal Action Segmentation for Robot-Assisted Surgery Analysis

Abstract: Temporal action segmentation in robot-assisted surgery videos involves automatically identifying and temporally localizing surgical actions throughout a procedure. This task is fundamental for developing intelligent surgical assistance systems that can understand surgical workflow in real-time. Our research focuses on analyzing endoscopic video recordings from robotic surgeries to recognize fine-grained surgical gestures and actions, such as suturing maneuvers, tissue manipulation, and instrument movements.

11:10 - 11:30
Yingxue Fu
Postdoctoral researcher (Université Côte d'Azur)

Contextualizing Toxicity: An Annotation Framework for Unveiling Pragmatics in Conversations of Online Discussion Forums

Abstract: The role of context has attracted increasing attention in research on toxicity detection. Interpreting toxic language remains a complex and multifaceted challenge, shaped by numerous linguistic, contextual, and social factors. However, current approaches often define “context” narrowly, focusing primarily on surface lexical cues such as hate lexicons, profanity markers, or sentiment polarity. These features, while useful, are insufficient to capture the interactional dynamics, user behaviors, and intentionality that shape such phenomena. To address this gap, this paper introduces a novel and systematic annotation framework, grounded in Speech Act Theory (Austin, 1962), aimed at deciphering the illocutionary and perlocutionary dimensions of conversation, which are unexplored in existing studies. We apply this framework to a new dataset of complete Reddit conversation threads, sampled to include discussions that turn toxic (124 conversations, 1990 messages). We evaluate the performance of GPT models (GPT-3, GPT-4, and GPT-5) on this challenging annotation task, providing insights into how large language models capture pragmatic and contextual dimensions of online toxicity.  

11:30 - 11:50
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

Abstract: We addresses the fundamental challenges of jointly performing node  clustering and representation learning in directed and valued graphs, which need both  global and local network structures to be captured. While these two tasks are  highly interdependent, they are often treated separately in existing works. We  propose the deep zero-inflated latent position block model (Deep-ZLPBM) in the  context of directed and valued networks characterized by non-symmetric adjacency  matrices with positive integer entries. Our approach leverages a variational              autoencoder (VAE) framework, combining a directed graph neural network (DirGNN)  encoder designed to handle directed edges and a zero-inflated Poisson (ZIP) block  modelling decoder to model sparse, integer-weighted interactions. Recognizing  the limitations of the standard evidence lower bound (ELBO) in VAEs, we explore  the importance weighted ELBO (iw-ELBO), a tighter bound on the marginal  log-likelihood optimized via gradient ascent, to enhance inference. Extensive  experiments on synthetic datasets demonstrate that iw-ELBO optimization yields  significant performance gains. Moreover, our results validate that Deep-ZLPBM  effectively models complex network structures, providing interpretable partial  memberships and insightful visualizations for directed, valued graphs.  

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 (since #46)
 

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
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Doctoral & Postdoctoral Seminar #48

Speakers:

  • Deborah Dore, Ph.D. student (CNRS), Chair of Serena VillataFlash 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
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Doctoral & Postdoctoral Seminar #47

Speakers:

  • Seongro Yoon, Ph.D. student (Inria), Chair of François BremondFlash 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
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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
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Past Seminars (from #1 to #45)
 

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.
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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
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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
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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
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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
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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
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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) |
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Doctoral & Postdoctoral Seminar #21

Speakers:

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

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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?
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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

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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

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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

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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

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Doctoral & Postdoctoral Seminar #13

Speakers:

  • Aude Sportisse (Inria) | Informative labels in Semi-Supervised Learning
  • Alexandra Würth (Inria) | Data driven traffic management by Macroscopic models

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Doctoral & Postdoctoral Seminar #12

Speakers:

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

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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

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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

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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 

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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

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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

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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

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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 

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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

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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

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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

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Doctoral & Postdoctoral Seminar #1