Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error. - Miguel González Duque; Rasmus Berg Palm; David Ha; Sebastian Risi (CoG, 2020)

Learning a Behavioral Repertoire from Demonstrations. - Niels Justesen; Miguel González Duque; Daniel Cabarcas Jaramillo; Jean-Baptiste Mouret; Sebastian Risi (CoG, 2020)

Fast Game Content Adaptation Through Bayesian-based Player Modelling. - Miguel González Duque; Rasmus Berg Palm; Sebastian Risi (CoG, 2021)

Pulling back information geometry. - Georgios Arvanitidis; Miguel González Duque; Alison Pouplin; Dimitrios Kalatzis; Søren Hauberg (AISTATS, 2022)

Mario Plays on a Manifold: Generating Functional Content in Latent Space through Differential Geometry. - Miguel González Duque; Rasmus Berg Palm; Søren Hauberg; Sebastian Risi (CoG, 2022)

Variational Neural Cellular Automata. - Rasmus Berg Palm; Miguel González Duque; Shyam Sudhakaran; Sebastian Risi (ICLR, 2022)

Towards a Framework for Human-AI Interaction Patterns in Co-Creative GAN Applications 92-102. - Imke Grabe; Miguel González Duque; Sebastian Risi; Jichen Zhu (IUI Workshops, 2022)

Bringing robotics taxonomies to continuous domains via GPLVM on hyperbolic manifolds. - Noémie Jaquier; Leonel Dario Rozo; Miguel González Duque; Viacheslav Borovitskiy; Tamim Asfour (CoRR, 2022)

Prompt-Guided Level Generation. - Shyam Sudhakaran; Miguel González Duque; Claire Glanois; Matthias Freiberger; Elias Najarro; Sebastian Risi (GECCO Companion, 2023)

MarioGPT: Open-Ended Text2Level Generation through Large Language Models. - Shyam Sudhakaran; Miguel González Duque; Matthias Freiberger; Claire Glanois; Elias Najarro; Sebastian Risi (NeurIPS, 2023)

Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds. - Noémie Jaquier; Leonel Rozo; Miguel González Duque; Viacheslav Borovitskiy; Tamim Asfour (ICML, 2024)

A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences. - Miguel González Duque; Richard Michael; Simon Bartels; Yevgen Zainchkovskyy; Søren Hauberg; Wouter Boomsma (NeurIPS, 2024)

A Continuous Relaxation for Discrete Bayesian Optimization. - Richard Michael; Simon Bartels; Miguel González Duque; Yevgen Zainchkovskyy; Jes Frellsen; Søren Hauberg; Wouter Boomsma (CoRR, 2024)

A History of Philosophy in Colombia through Topic Modelling. - Juan R. Loaiza; Miguel González Duque (CoRR, 2024)

Riemann2: Learning Riemannian Submanifolds from Riemannian Data. - Leonel Rozo; Miguel González Duque; Noémie Jaquier; Søren Hauberg (AISTATS, 2025)

Autonomous nanoparticle synthesis by design. - Andy S. Anker; Jonas H. Jensen; Miguel González Duque; Rodrigo Moreno; Aleksandra Smolska; Mikkel Juelsholt; Vincent Hardion; Mads R. V. Jorgensen; Andrés Faiña; Jonathan Quinson; Kasper Støy; Tejs Vegge (CoRR, 2025)