output
20202026
most citedExplainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions

544 citations

Showing 2023Show all

14 papers · 1 filter

cs.LG2023★ 1 cited

Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning

Pankayaraj Pathmanathan, Natalia Díaz-Rodríguez, Javier Del Ser

In this work, we investigate the means of using curiosity on replay buffers to improve offline multi-task continual reinforcement learning when tasks, which are defined by the non-…

cs.AI2023★ 544 cited

Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions

Luca Longo, Mario Brcic, Federico Cabitza +16

As systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications, understanding these black box models has become paramount. In respo…

quant-ph2023★ 15 cited

Optimizing edge state transfer in a Su-Schrieffer-Heeger chain via hybrid analog-digital strategies

Sebastián V. Romero, Xi Chen, Gloria Platero +1

The Su-Schrieffer-Heeger (SSH) chain, which serves as a paradigmatic model for comprehending topological phases and their associated edge states, plays an essential role in advanci…

cs.AI2023★ 9 cited

Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach

Sebastián V. Romero, Eneko Osaba, Esther Villar-Rodriguez +1

The Bin Packing Problem is a classic problem with wide industrial applicability. In fact, the efficient packing of items into bins is one of the toughest challenges in many logisti…

quant-ph2023★ 4 cited

Scattering of relativistic electrons and analogies with optical phenomena: A study of longitudinal and transverse shifts at step potentials

Yue Ban, Xi Chen

We investigate the behavior of relativistic electrons encountering a potential step through analogies with optical phenomena. By accounting for the conservation of Dirac current, w…

quant-ph2023★ 7 cited

Photonic counterdiabatic quantum optimization algorithm

Pranav Chandarana, Koushik Paul, Mikel Garcia-de-Andoin +3

We propose a hybrid quantum-classical approximate optimization algorithm for photonic quantum computing, specifically tailored for addressing continuous-variable optimization probl…

quant-ph2023★ 8 cited

Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing

Antón Makarov, Márcio M. Taddei, Eneko Osaba +3

Satellite image acquisition scheduling is a problem that is omnipresent in the earth observation field; its goal is to find the optimal subset of images to be taken during a given…

cs.AI2023★ 86 cited

General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance

Isaac Triguero, Daniel Molina, Javier Poyatos +2

Most applications of Artificial Intelligence (AI) are designed for a confined and specific task. However, there are many scenarios that call for a more general AI, capable of solvi…

quant-ph2023★ 39 cited

Efficient quantum amplitude encoding of polynomial functions

Javier Gonzalez-Conde, Thomas W. Watts, Pablo Rodriguez-Grasa +1

Loading functions into quantum computers represents an essential step in several quantum algorithms, such as quantum partial differential equation solvers. Therefore, the inefficie…

quant-ph2023★ 2 cited

Formulation of the Electric Vehicle Charging and Routing Problem for a Hybrid Quantum-Classical Search Space Reduction Heuristic

M. Garcia de Andoin, A. Bottarelli, S. Schmitt +3

Combinatorial optimization problems have attracted much interest in the quantum computing community in the recent years as a potential testbed to showcase quantum advantage. In thi…

cs.AI2023★ 11 cited

Benchmark dataset and instance generator for Real-World Three-Dimensional Bin Packing Problems

Eneko Osaba, Esther Villar-Rodriguez, Sebastián V. Romero

In this article, a benchmark for real-world bin packing problems is proposed. This dataset consists of 12 instances of varying levels of complexity regarding size (with the number…

cs.ET2023★ 36 cited

Hybrid Approach for Solving Real-World Bin Packing Problem Instances Using Quantum Annealers

Sebastián V. Romero, Eneko Osaba, Esther Villar-Rodriguez +2

Efficient packing of items into bins is a common daily task. Known as Bin Packing Problem, it has been intensively studied in the field of artificial intelligence, thanks to the wi…

cs.NE2023★ 18 cited

Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness

Javier Poyatos, Daniel Molina, Aitor Martínez +2

Evolutionary Computation algorithms have been used to solve optimization problems in relation with architectural, hyper-parameter or training configuration, forging the field known…

quant-ph2023★ 14 cited

PauliComposer: Compute Tensor Products of Pauli Matrices Efficiently

Sebastián V. Romero, Juan Santos-Suárez

We introduce a simple algorithm that efficiently computes tensor products of Pauli matrices. This is done by tailoring the calculations to this specific case, which allows to avoid…