Doctoral & Postdoctoral Seminar

Date & Location

  • February 2, 2024
  • Campus Valrose, Nice (Salle Théâtre)

Program

10:30 - 10:40
Greta Damo

Flash presentation

10:40 - 11:00
Xiuheng Wang

Non-parametric Online Change Point Detection on Riemannian Manifolds

Abstract: Non-parametric detection of change points in streaming time series data that belong to Euclidean spaces has been extensively studied in the literature. Nevertheless, when the data belongs to a Riemannian manifold, existing approaches are no longer applicable as they fail to account for the structure and geometry of the manifold. In this paper, we introduce a non-parametric algorithm for online change point detection in manifold-valued data streams. This algorithm monitors the generalized Karcher mean of the data, computed using stochastic Riemannian optimization. We provide theoretical bounds on the detection and false alarm rate performances of the algorithm, using a new result on the non-asymptotic convergence of the stochastic Riemannian gradient descent. We apply our algorithm to two different Riemannian manifolds. Experimental results with both synthetic and real data illustrate the performance of the proposed method.

11:00 - 11:40
Thomas Laloë

Risk measures based on depth functions

Abstract:
In this talk, I will present a risk measure based on the level sets of a depth function. I will illustrate this measure with an application to the prediction of power consumption as a function of temperature. 

11:40 - 12:00

Open discussion on the two contributions



Event reserved for 3IA Côte d'Azur PhD students and postdocs - identity check at the entrance and visual check of visitors' vehicles.
 
 
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Next Seminars:
- March 2024
Past Seminars

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