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03/23/2021
Depth-based pseudo-metrics between probability distributions
Data depth is a non parametric statistical tool that measures centrality...
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02/09/2021
Emotion Transfer Using Vector-Valued Infinite Task Learning
Style transfer is a significant problem of machine learning with numerou...
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10/19/2020
A Framework to Learn with Interpretation
With increasingly widespread use of deep neural networks in critical dec...
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07/29/2020
Learning Output Embeddings in Structured Prediction
A powerful and flexible approach to structured prediction consists in em...
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06/18/2020
When OT meets MoM: Robust estimation of Wasserstein Distance
Issued from Optimal Transport, the Wasserstein distance has gained impor...
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03/27/2020
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
One of the challenges in machine learning research is to ensure that pre...
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03/13/2020
Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach
The recent enthusiasm for artificial intelligence (AI) is due principall...
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03/03/2020
Nonlinear Functional Output Regression: a Dictionary Approach
Many applications in signal processing involve data that consists in a h...
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10/10/2019
On the Dualization of Operator-Valued Kernel Machines
Operator-Valued Kernels (OVKs) and Vector-Valued Reproducing Kernel Hilb...
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08/29/2019
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining
The task of predicting fine grained user opinion based on spontaneous sp...
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04/09/2019
Functional Isolation Forest
For the purpose of monitoring the behavior of complex infrastructures (e...
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02/26/2019
A multimodal movie review corpus for fine-grained opinion mining
In this paper, we introduce a set of opinion annotations for the POM mov...
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07/06/2018
A Structured Prediction Approach for Label Ranking
We propose to solve a label ranking problem as a structured output regre...
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05/28/2018
Autoencoding any Data through Kernel Autoencoders
This paper investigates a novel algorithmic approach to data representat...
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05/22/2018
Infinite-Task Learning with Vector-Valued RKHSs
Machine learning has witnessed the tremendous success of solving tasks d...
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03/22/2018
Structured Output Learning with Abstention: Application to Accurate Opinion Prediction
Motivated by Supervised Opinion Analysis, we propose a novel framework d...
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11/19/2014