research
∙
09/14/2023
Structure-Preserving Transformers for Sequences of SPD Matrices
In recent years, Transformer-based auto-attention mechanisms have been s...
share
research
∙
12/27/2022
Challenges in anomaly and change point detection
This paper presents an introduction to the state-of-the-art in anomaly a...
research
∙
07/06/2022
Is the U-Net Directional-Relationship Aware?
CNNs are often assumed to be capable of using contextual information abo...
research
∙
01/17/2022
Multi-winner Approval Voting Goes Epistemic
Epistemic voting interprets votes as noisy signals about a ground truth....
research
∙
12/08/2021
Non parametric estimation of causal populations in a counterfactual scenario
In causality, estimating the effect of a treatment without confounding i...
research
∙
12/07/2021
Truth-tracking via Approval Voting: Size Matters
Epistemic social choice aims at unveiling a hidden ground truth given vo...
research
∙
11/29/2021
A new Sinkhorn algorithm with Deletion and Insertion operations
This technical report is devoted to the continuous estimation of an epsi...
research
∙
11/04/2021
Functional connectivity ensemble method to enhance BCI performance (FUCONE)
Functional connectivity is a key approach to investigate oscillatory act...
research
∙
07/30/2021
The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections [Extended Version]
The inference of minimum spanning arborescences within a set of objects ...
research
∙
07/16/2021
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
Ordinary supervised learning is useful when we have paired training data...
research
∙
07/05/2021
Template-Based Graph Clustering
We propose a novel graph clustering method guided by additional informat...
research
∙
04/08/2021
Scaling up graph homomorphism for classification via sampling
Feature generation is an open topic of investigation in graph machine le...
research
∙
02/22/2021
Approximation of dilation-based spatial relations to add structural constraints in neural networks
Spatial relations between objects in an image have proved useful for str...
research
∙
02/22/2021
On the robustness of randomized classifiers to adversarial examples
This paper investigates the theory of robustness against adversarial att...
research
∙
02/09/2021
Clinical BCI Challenge-WCCI2020: RIGOLETTO – RIemannian GeOmetry LEarning, applicaTion To cOnnectivity
This short technical report describes the approach submitted to the Clin...
research
∙
06/19/2019
A unified view on differential privacy and robustness to adversarial examples
This short note highlights some links between two lines of research with...
research
∙
03/25/2019
Robust Neural Networks using Randomized Adversarial Training
Since the discovery of adversarial examples in machine learning, researc...
research
∙
02/04/2019
Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family
This paper investigates the theory of robustness against adversarial att...
research
∙
03/14/2018
Uplift Modeling from Separate Labels
Uplift modeling is aimed at estimating the incremental impact of an acti...
research
∙
03/10/2018
Graph-based Clustering under Differential Privacy
In this paper, we present the first differentially private clustering me...
research
∙
09/03/2017
Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario
Item cold-start is a classical issue in recommender systems that affects...
research
∙
10/10/2014
Challenge IEEE-ISBI/TCB : Application of Covariance matrices and wavelet marginals
This short memo aims at explaining our approach for the challenge IEEE-I...
research
∙
06/27/2012