Date & Location
- March 7, 2025
- Grand Château (Campus Valrose)
Program
10:30 - 10:40
Xufeng Zhang, PhD (Inria)
Flash presentation: Online optimistic caching with switching cost
Abstract: In the domain of computer science, how to optimally allocate cache space is a challenging problem. This study focuses on the Follow the Perturbed Leader (FTPL) algorithm, an online learning approach, considering batched requests and switching costs. We prove that FTPL has sub-linear regret bounds across various scenarios. We consider a FTPL variant---called Optimistic FTPL (OFTPL)---which has access to future requests' predictions and shows that it enjoys better theoretical regret bound than the classic FTPL when predictions are accurate and switching costs are small. We also show how to optimally set OFTPL batch size.
10:40 - 11:00
Lisa Guzzi, PhD (Inria)
Differentiable Soft Morphological Filters for Improving Arterial Segmentation in Peripheral Artery Disease
Abstract: Segmenting arteries is essential for automatically diagnosing and monitoring Peripheral Artery Disease (PAD). Traditional morphological operations, such as erosion, dilation, and skeletonization, provide powerful tools for refining segmentation masks but are not inherently differentiable, limiting their integration into deep learning frameworks. We propose a novel approach that formulates soft morphological filters by translating Boolean morphological operations into differentiable multilinear polynomials. This method enables the seamless incorporation of morphological operations into neural networks, either as loss functions or as post-processing layers. Additionally, we explore a new class of regional Hausdorff Distance losses, designed to improve boundary accuracy in segmentation tasks.
11:00 - 11:20
Luc Lehéricy, Researcher (Université Côte d'Azur)
Deconvolution with unknown noise distribution for structured signals
Asbtract: Deconvolution is the problem of recovering the distribution of a signal X based on noisy observations Y = X + epsilon. Most existing results require stringent assumptions on the noise distribution, for example that it is known, or that an auxiliary sample from the noise distribution is available.
In this talk, I will show that it is possible to recover the distribution of the hidden signal with almost no assumption on the noise and no auxiliary sample, provided the signal is multidimensional with some dependency between its components. I will also show how to use this result to construct estimators of the distribution of the signal and of its support, with rates of convergence that are minimax optimal.
This talk is based on joint works with Elisabeth Gassiat, Sylvain Le Corff and Jérémie Capitao-Miniconi.
11:20 - 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:
April 4, 2025 (Inria, Sophia Antipolis)
May 16, 2025 (Inria, Sophia Antipolis)
June 6, 2025 (Campus Valrose, Nice) - Past Seminars
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Doctoral & Postdoctoral Seminar #42
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- 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
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Doctoral & Postdoctoral Seminar #37
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- Vincenzo Marciano (PhD, EURECOM) | Flash presentation
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Doctoral & Postdoctoral Seminar #36
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- Pierpaolo Goffredo (PhD, CNRS - I3S) | Argument-based Detection and Classification of Fallacies in Political Debates
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Doctoral & Postdoctoral Seminar #35
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Doctoral & Postdoctoral Seminar #34
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- Gonzague Radureau (PhD, OCA) | A new high-performance computation method of the Eddington tensor in radiation hydrodynamics simulation
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Doctoral & Postdoctoral Seminar #31
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Doctoral & Postdoctoral Seminar #30
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Doctoral & Postdoctoral Seminar #29
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Doctoral & Postdoctoral Seminar #26
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Doctoral & Postdoctoral Seminar #25
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Doctoral & Postdoctoral Seminar #24
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Doctoral & Postdoctoral Seminar #23
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Doctoral & Postdoctoral Seminar #20
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Doctoral & Postdoctoral Seminar #19
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Doctoral & Postdoctoral Seminar #18
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Doctoral & Postdoctoral Seminar #17
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Doctoral & Postdoctoral Seminar #16
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Doctoral & Postdoctoral Seminar #15
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Doctoral & Postdoctoral Seminar #14
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Doctoral & Postdoctoral Seminar #13
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Doctoral & Postdoctoral Seminar #11
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Doctoral & Postdoctoral Seminar #10
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Doctoral & Postdoctoral Seminar #9
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Doctoral & Postdoctoral Seminar #8
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Doctoral & Postdoctoral Seminar #6
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Doctoral & Postdoctoral Seminar #5
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Doctoral & Postdoctoral Seminar #4
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Doctoral & Postdoctoral Seminar #3
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Doctoral & Postdoctoral Seminar #2
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