Francisco M. López
PhD Candidate in Developmental AI Frankfurt Institute for Advanced Studies
Please visit my Google Scholar page for an up-to-date list of my publications.
2025
López, F. M., & Triesch, J. (Submitted). Humans and variational autoencoders agree: attractive faces are average and feminine, not symmetric and masculine. In 2024 Conference on Cognitive Computational Neuroscience (CCN).
López, F. M., Lenz, M., Fedozzi, M., Aubret, A., & Triesch, J. (Submitted). MIMo grows! Simulating body and sensory development in a multimodal infant model. In 2025 IEEE International Conference on Development and Learning (ICDL).
López, F. M., & Triesch, J. (2025). Hierarchical Residuals Exploit Brain‑Inspired Compositionality. In 2025 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN).
arxiv · bibtex · pdf · strands
Faßbender, L., Falck, J., López, F. M., Shing, Y. L., Triesch, J., & Schwarzer, G. (2025). A comparison of force adaptation in toddlers and adults during a drawer opening task. Scientific Reports, 15(1), 3699.
2024
López, F. M., Shi, B. E., & Triesch, J. (2024) Prioritizing Compression Explains Human Perceptual Preferences. In Intrinsically‑Motivated and Open‑Ended Learning Workshop @ NeurIPS2024.
arxiv · bibtex · pdf · strands
Liberman, T., Bidegain, M., Berriel, A., López, F. M., Ibarra, A., Pisani, M., … & Castelló, M. E. (2024). Effects of a Virtual Mindful Self-Compassion Training on Mindfulness, Self-compassion, Empathy, Well-being, and Stress in Uruguayan Primary School Teachers During COVID-19 Times. Mindfulness, 15(6), 1486-1500.
López, F. M., Massmann, J., & Triesch, J. (2024). Toward hierarchical compositionality with shallow hierarchical networks. In 2024 Conference on Cognitive Computational Neuroscience (CCN).
López, F. M., Raabe, M. C., Shi, B. E., Triesch, J. (2024). Self‑Calibrating Saccade‑Vergence Interactions. In 2024 IEEE International Conference on Development and Learning (ICDL) (pp. 1‑7). IEEE.
Ernst, M. R., López, F. M., Aubret, A., Fleming, R. W., & Triesch, J. (2024). Self-Supervised Learning of Color Constancy. In 2024 IEEE International Conference on Development and Learning (ICDL) (pp. 1-7). IEEE.
López, F. M., & Pomi, A. (2024). Inhibitory dynamics in dual‑route evidence accumulation account for response time distributions from conflict tasks. Cognitive Neurodynamics, 18(4), 1507‑1524.
Mattern, D., Schumacher, P., López, F. M., Raabe, M. C., Ernst, M. R., Aubret, A., & Triesch, J. (2024). MIMo: A Multimodal Infant Model for Studying Cognitive Development. IEEE Transactions on Cognitive and Developmental Systems, 16(4), 1291‑1301.
2023
Raabe, M. C., López, F. M., Yu, Z., Caplan, S., Yu, C., Shi, B. E., & Triesch, J. (2023). Saccade amplitude statistics are explained by cortical magnification. In 2023 IEEE International Conference on Development and Learning (ICDL) (pp. 300-305). IEEE.
López, F. M., Shi, B. E., & Triesch, J. (2023). Eye‑hand coordination develops from active multimodal compression. In 2023 IEEE International Conference on Development and Learning (ICDL) (pp. 437‑442). IEEE.
2022
Mattern, D., López, F. M., Ernst, M. R., Aubret, A., & Triesch, J. (2022). MIMo: A Multi-Modal Infant Model for Studying Cognitive Development in Humans and AIs. In 2022 IEEE International Conference on Development and Learning (ICDL) (pp. 23-29). IEEE.
doi · bibtex · pdf · code · strands
López, F. M., & Pomi, A. (2022). A neurocomputational model for the processing of conflicting information in context-dependent decision tasks. Journal of Biological Physics, 48(2), 195-213.
López, F. M., De León, D., Díaz-Simón, N., & Maiche, A. (2022). Development of Mathematical Cognition: The Role of Technology in Low-SES Populations. In Cognitive Sciences and Education in Non-WEIRD Populations: A Latin American Perspective (pp. 169-184). Springer International Publishing.