Scholar
Francisco M. López
Google Scholar ID: pNDeaeQAAAAJ
PhD Candidate, Frankfurt Institute for Advanced Studies
Citations & Impact
Citations
54
H-index
4
i10-index
2
Publications
18
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- May 2025, paper 'Humans and variational autoencoders agree: attractive faces are average and feminine, not symmetric and masculine' accepted at CCN 2025; April 2025, presented 'Hierarchical Residuals Exploit Brain-Inspired Compositionality' at ESANN 2025 in Brugge, Belgium; May 2024, presented 'Self-Calibrating Saccade-Vergence Interactions' at ICDL 2024 in Austin, Texas; November 2023, presented 'Eye-Hand Coordination Develops from Active Multimodal Compression' at ICDL 2023 in Macau, China; June 2022, paper 'MIMo: A Multimodal Infant Model for Studying Cognitive Development in Humans and AIs' accepted at ICDL 2022.
Research Experience
- Developed several open-source research platforms, including MIMo, BabyBench, and DREAM.
Education
- April 2021, defended Master's thesis titled 'A study on the spatial representation of numbers using context-dependent associative memories' at the Faculty of Science, Universidad de la República, Uruguay. November 2021, started PhD with Prof. Dr. Jochen Triesch at the Frankfurt Institute for Advanced Studies, Germany.
Background
- Research Interests: Understanding how infants can autonomously develop sensorimotor control and coordination. Professional Field: Developmental AI. Brief Introduction: Using a combination of intrinsically-motivated reinforcement learning, unsupervised representations, and hierarchical architectures to study autonomous development in infants.
Miscellany
- In spare time, enjoys creating Strands games based on papers read or talks attended.
Co-authors