Date & Location
- December 6, 2024
- Inria , Sophia Antipolis
Program
10:30 - 10:40
Olivier Bisson (PhD, INRIA)
Flash presentation: Geometry, stratification and applications of structured correlation matrices
Abstract:
Symmetric positive definite matrices, particularly correlation matrices, have become a common source of geometric information in neuroimaging. The challenges encountered with the conventional Euclidean metric have led to the development of alternatives based on Riemannian metrics. It turns out that correlation matrices are widely used to describe brain connectivity in anatomical and functional neuroimaging. In this short presentation, we will first explore several methods to endow the space of correlation matrices with a differentiable structure. Next, we will present recent Riemannian metrics developed for full-rank correlation matrices and demonstrate how these metrics enable us to perform statistics on non-linear spaces. Finally, we will illustrate our work with applications in the study of brain connectomes, using data obtained from rs-fMRI.
10:40 - 11:00
Tomasz Stanczyk (PhD, INRIA)
Temporally Propagated Masks and Bounding Boxes: Combining the Best of Both Worlds for Multi-Object Tracking
Abstract:
Multi-object tracking (MOT) involves identifying and consistently tracking objects across video sequences. Traditional tracking-by-detection methods, while effective, often require extensive tuning and lack generalizability. On the other hand, segmentation mask-based methods are more generic but struggle with tracking management, making them unsuitable for MOT. We propose a novel approach, McByte, which incorporates a temporally propagated segmentation mask as a strong association cue within a tracking-by-detection framework. By combining bounding box and propagated mask information, McByte enhances robustness and generalizability without per-sequence tuning. Evaluated on four benchmark datasets - DanceTrack, MOT17, SoccerNet-tracking 2022, and KITTI-tracking - McByte demonstrates performance gain in all cases examined. At the same time, it outperforms existing mask-based methods.
11:00 - 11:30
Jean-Pierre Merlet (3IA Chairholder, INRIA)
Solving parametric systems of equations with neural network
Abstract:
We consider a parametric system of equations F(X,P)=0 where P are parameters and X the unknowns. When the P are fixed F(X) is a square system of n equations in the n unknowns in X. We will show that using classical approaches of NN the solutions predicted by the NN are usually extremely bad. But we will show that by using structured training sets and hybridized multi-layer perceptrons it is possible to build a very fast solver that provide exact solutions as soon as the set of P is bounded.
11:30 - 12:00
Open discussion about the two contributions
Event reserved for students and post-docs of the 3IA consortium members. ID check at the entrance of the site with visual bag inspection.
- Save the Date!
- Next Seminars:
January 10, 2025 (Inria, Sophia Antipolis)
February 7, 2025 (Inria, Sophia Antipolis)
March 7, 2025 (Campus Valrose, Nice)
April 4, 2025 (Inria, Sophia Antipolis)
May 9, 2025 (Inria, Sophia Antipolis)
June 6, 2025 (venue to be confirmed) - Past Seminars
-
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
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
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
See details
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
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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
See details
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
See details
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
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