Publications · arXiv · peer-reviewed

Publications

Complete list of preprints and published work in Bayesian Optimization, Gaussian Processes, Reinforcement Learning, Generative AI, ESG quantitative finance, AI ethics, and philosophy of mind.

41papers
3,300+citations
19h-index
2016–26years active
Contador de visitas
all bayesian opt. reinforcement learning generative ai & llms esg / finance ethics & philosophy neurosymbolic

2026

6 papers

Anarchist Automation: A Sociotechnical Framework for Decentralization and Universal Care

Eduardo C. Garrido-Merchán

cs.CY arXiv:2602.13154

When Machines Get It Wrong: Large Language Models Perpetuate Autism Myths More Than Humans Do

Eduardo C. Garrido-Merchán, Adriana Constanza Cirera Tirschtigel

cs.CY LLM bias arXiv:2601.22893

Personal Data as a Human Right: A New Social Contract Based on Data Sovereignty, Human Dignity and Data Personalism

J.M. Alvarez-Pallete, R. Calderón, M.T. Corzo, E.C. Garrido-Merchán, G. López, I. Navarro-Mendizábal, S. Padilla, A. Padín, R. Redondo

cs.CY data personalism arXiv:2602.23918

Default Machine Learning Hyperparameters Do Not Provide Informative Initialization for Bayesian Optimization

Nicolás Villagrán Prieto, Eduardo C. Garrido-Merchán

cs.LG AutoML arXiv:2602.08774

Fine-Tuning Large Language Models for Automatic Detection of Sexually Explicit Content in Spanish-Language Song Lyrics

Dolores Zamacola Sánchez de Lamadrid, Eduardo C. Garrido-Merchán

cs.CY NLP arXiv:2602.05485

Intersectional Data and the Social Cost of Digital Extraction: A Pigouvian Surcharge

Eduardo C. Garrido-Merchán

cs.CY arXiv:2601.08574

2025

3 papers

GOFAI meets Generative AI: Development of Expert Systems by means of Large Language Models

Eduardo C. Garrido-Merchán, Cristina Puente

cs.AI neurosymbolic LLM arXiv:2507.13550

An Information-Theoretic Intersectional Data Valuation Theory

Eduardo C. Garrido-Merchán

cs.IT data valuation arXiv:2507.14742

Information-theoretic Bayesian Optimization: Survey and Tutorial

Eduardo C. Garrido-Merchán

cs.LG survey arXiv:2502.06789

2024

4 papers

Deep Reinforcement Learning Agents for Strategic Production Policies in Microeconomic Market Simulations

Eduardo C. Garrido-Merchán, Maria Coronado-Vaca, Álvaro López-López, Carlos Martinez de Ibarreta

cs.LG multi-agent RL arXiv:2410.20550

Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent

Alejandra de la Rica Escudero, Eduardo C. Garrido-Merchán, Maria Coronado-Vaca

q-fin.PM XAI arXiv:2407.14486

A Taxonomy of the Biases of the Images created by Generative Artificial Intelligence

Adriana Fernández de Caleya Vázquez, Eduardo C. Garrido-Merchán

cs.CY bias arXiv:2407.01556

Machine Consciousness as Pseudoscience: The Myth of Conscious Machines

Eduardo C. Garrido-Merchán

cs.CY phil. of mind arXiv:2405.07340

2023

9 papers

Best uses of ChatGPT and Generative AI for computer science research

Eduardo C. Garrido-Merchán

cs.AI arXiv:2311.11175

From computational ethics to morality: how decision-making algorithms can help us understand the emergence of moral principles

Eduardo C. Garrido-Merchán, Sara Lumbreras-Sancho

cs.CY computational ethics arXiv:2307.11119

Deep Reinforcement Learning for ESG financial portfolio management

Eduardo C. Garrido-Merchán, Sol Mora-Figueroa-Cruz-Guzmán, María Coronado-Vaca

q-fin.PM ESG arXiv:2307.09631

A survey of Generative AI Applications

Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchán

cs.LG survey arXiv:2306.02781

Simulating H.P. Lovecraft horror literature with the ChatGPT large language model

Eduardo C. Garrido-Merchán, José Luis Arroyo-Barrigüete, Roberto Gozalo-Brizuela

cs.CL arXiv:2305.03429

ChatGPT: More than a Weapon of Mass Deception. Ethical challenges and responses from the Human-Centered AI perspective

Alejo Jose G. Sison, Marco Tulio Daza, Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchán

cs.CY HCAI arXiv:2304.11215

Fine-tuning ClimateBert transformer with ClimaText for the disclosure analysis of climate-related financial risks

Eduardo C. Garrido-Merchán, Cristina González-Barthe, María Coronado Vaca

cs.CL climate finance arXiv:2303.13373

Bayesian Optimization of ESG Financial Investments

Eduardo C. Garrido-Merchán, Gabriel González Piris, Maria Coronado Vaca

q-fin.PM ESG arXiv:2303.01485

ChatGPT is not all you need. A State of the Art Review of large Generative AI models

Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchán

cs.LG survey arXiv:2301.04655

2022

3 papers

Optimizing Integrated Information with a Prior Guided Random Search Algorithm

Eduardo C. Garrido-Merchán, Javier Sánchez-Cañizares

cs.AI IIT arXiv:2212.04589

On the independence between phenomenal consciousness and computational intelligence

Eduardo C. Garrido-Merchán, Sara Lumbreras

cs.AI phil. of mind arXiv:2208.02187

Do Artificial Intelligence Systems Understand?

Eduardo C. Garrido-Merchán, Carlos Blanco

cs.AI phil. of AI arXiv:2207.11089

2021

2 papers

Many Objective Bayesian Optimization

Lucia Asencio Martín, Eduardo C. Garrido-Merchán

stat.ML multi-objective arXiv:2107.04126

A Similarity Measure of Gaussian Process Predictive Distributions

Lucia Asencio-Martín, Eduardo C. Garrido-Merchán

cs.LG GPs arXiv:2101.08061

2020

9 papers

An Artificial Consciousness Model and its relations with Philosophy of Mind

Eduardo C. Garrido-Merchán, Martin Molina, Francisco M. Mendoza

cs.AI phil. of mind arXiv:2011.14475

Fuzzy Stochastic Timed Petri Nets for Causal properties representation

Alejandro Sobrino, Eduardo C. Garrido-Merchán, Cristina Puente

cs.AI causal arXiv:2011.12075

Comparing BERT against traditional machine learning text classification

Santiago González-Carvajal, Eduardo C. Garrido-Merchán

cs.CL J. Comp. Cogn. Eng. (2023) arXiv:2005.13012

Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints

Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato

stat.ML PESMOC arXiv:2004.00601

Towards Automatic Bayesian Optimization: A first step involving acquisition functions

Eduardo C. Garrido-Merchán, Luis C. Jariego Pérez

stat.ML AutoBO arXiv:2003.09643

Fake News Detection by means of Uncertainty Weighted Causal Graphs

Eduardo C. Garrido-Merchán, Cristina Puente, Rafael Palacios

cs.AI causal graphs arXiv:2002.01065

A Machine Consciousness architecture based on Deep Learning and Gaussian Processes

Eduardo C. Garrido-Merchán, Martín Molina

cs.AI arXiv:2002.00509

Uncertainty Weighted Causal Graphs

Eduardo C. Garrido-Merchán, C. Puente, A. Sobrino, J.A. Olivas

cs.AI arXiv:2002.00429

Multi-class Gaussian Process Classification with Noisy Inputs

Carlos Villacampa-Calvo, Bryan Zaldivar, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato

stat.ML GPs arXiv:2001.10523

2018

3 papers

Suggesting Cooking Recipes Through Simulation and Bayesian Optimization

Eduardo C. Garrido-Merchán, Alejandro Albarca-Molina

cs.AI arXiv:1811.03868

Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks

Irene Córdoba, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato, Concha Bielza, Pedro Larrañaga

cs.LG LNAI · CAEPIA 2018 arXiv:1806.11015

Dealing with Categorical and Integer-valued Variables in Bayesian Optimization with Gaussian Processes

Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato

stat.ML discrete BO arXiv:1805.03463

2017

1 paper

Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes

Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato

stat.ML arXiv:1706.03673

2016

1 paper

Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints

Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato

stat.ML Neurocomputing 361:50-68 (2019) arXiv:1609.01051