Natalia Díaz Rodríguez

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Featured Co-authors

Yarin Gal
126 publications
Timothy Hospedales
67 publications
Javier Del Ser
61 publications
Francisco Herrera
48 publications
Vincenzo Lomonaco
43 publications
Olivier Sigaud
39 publications
David Filliat
32 publications
Davide Maltoni
24 publications
Timothée Lesort
23 publications
Stéphane Doncieux
22 publications
Andreas Holzinger
20 publications

research

∙ 05/02/2023

Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation

Trustworthy Artificial Intelligence (AI) is based on seven technical req...

0 Natalia Díaz Rodríguez, et al. ∙

research

∙ 12/06/2022

Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values

A quantitative assessment of the global importance of an agent in a team...

0 Giorgio Angelotti, et al. ∙

research

∙ 09/26/2022

Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification

Although Deep Neural Networks (DNNs) have great generalization and predi...

19 Adrien Bennetot, et al. ∙

research

∙ 07/18/2022

Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation

Rendering programs have changed the design process completely as they pe...

0 Tomas Cabezon Pedroso, et al. ∙

research

∙ 05/20/2022

Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization

There is a broad consensus on the importance of deep learning models in ...

0 Javier Del Ser, et al. ∙

research

∙ 02/21/2022

OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics

Scene graph generation from images is a task of great interest to applic...

0 Fernando Amodeo, et al. ∙

research

∙ 10/04/2021

Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values

While Explainable Artificial Intelligence (XAI) is increasingly expandin...

2 Alexandre Heuillet, et al. ∙

research

∙ 09/17/2021

Efficient State Representation Learning for Dynamic Robotic Scenarios

While the rapid progress of deep learning fuels end-to-end reinforcement...

0 Zhaorun Chen, et al. ∙

research

∙ 04/29/2021

Questioning causality on sex, gender and COVID-19, and identifying bias in large-scale data-driven analyses: the Bias Priority Recommendations and Bias Catalog for Pandemics

The COVID-19 pandemic has spurred a large amount of observational studie...

0 Natalia Díaz Rodríguez, et al. ∙

research

∙ 04/24/2021

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case

The latest Deep Learning (DL) models for detection and classification ha...

9 Natalia Díaz Rodríguez, et al. ∙

research

∙ 04/10/2021

Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization

As climate change increases the intensity of natural disasters, society ...

0 Björn Lütjens, et al. ∙

research

∙ 04/02/2021

Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey

Most of state of the art methods applied on time series consist of deep ...

0 Thomas Rojat, et al. ∙

research

∙ 03/15/2021

Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts

Credit assessments activities are essential for financial institutions a...

0 Ayoub El Qadi, et al. ∙

research

∙ 10/16/2020

Physics-informed GANs for Coastal Flood Visualization

As climate change increases the intensity of natural disasters, society ...

0 Björn Lütjens, et al. ∙

research

∙ 08/15/2020

Explainability in Deep Reinforcement Learning

A large set of the explainable Artificial Intelligence (XAI) literature ...

44 Alexandre Heuillet, et al. ∙

research

∙ 05/25/2020

Should artificial agents ask for help in human-robot collaborative problem-solving?

Transferring as fast as possible the functioning of our brain to artific...

0 Adrien Bennetot, et al. ∙

research

∙ 05/13/2020

DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics

Robots are still limited to controlled conditions, that the robot design...

22 Stéphane Doncieux, et al. ∙

research

∙ 03/26/2020

Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models

Image captioning models have been able to generate grammatically correct...

5 Pranav Agarwal, et al. ∙

research

∙ 10/22/2019

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

In the last years, Artificial Intelligence (AI) has achieved a notable m...

170 Alejandro Barredo Arrieta, et al. ∙

research

∙ 09/19/2019

Highlighting Bias with Explainable Neural-Symbolic Visual Reasoning

Many high-performance models suffer from a lack of interpretability. The...

0 Adrien Bennetot, et al. ∙

research

∙ 07/11/2019

DisCoRL: Continual Reinforcement Learning via Policy Distillation

In multi-task reinforcement learning there are two main challenges: at t...

6 René Traoré, et al. ∙

research

∙ 06/29/2019

Continual Learning for Robotics

Continual learning (CL) is a particular machine learning paradigm where ...

0 Timothée Lesort, et al. ∙

research

∙ 06/11/2019

Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer

We focus on the problem of teaching a robot to solve tasks presented seq...

0 René Traoré, et al. ∙

research

∙ 01/24/2019

Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics

Scaling end-to-end reinforcement learning to control real robots from vi...

0 Antonin Raffin, et al. ∙

research

∙ 11/13/2018

Intelligent Drone Swarm for Search and Rescue Operations at Sea

In recent years, a rising numbers of people arrived in the European Unio...

0 Vincenzo Lomonaco, et al. ∙

research

∙ 10/31/2018

Don't forget, there is more than forgetting: new metrics for Continual Learning

Continual learning consists of algorithms that learn from a stream of da...

0 Natalia Díaz Rodríguez, et al. ∙

research

∙ 09/25/2018

S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning

State representation learning aims at learning compact representations f...

0 Antonin Raffin, et al. ∙

research

∙ 02/12/2018

State Representation Learning for Control: An Overview

Representation learning algorithms are designed to learn abstract featur...

0 Timothée Lesort, et al. ∙

research

∙ 09/15/2017

Unsupervised state representation learning with robotic priors: a robustness benchmark

Our understanding of the world depends highly on our capacity to produce...

0 Timothée Lesort, et al. ∙

research

∙ 03/30/2016

Unsupervised Understanding of Location and Illumination Changes in Egocentric Videos

Wearable cameras stand out as one of the most promising devices for the ...

0 Alejandro Betancourt, et al. ∙

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