Miguel Ruiz-Garcia

According to our database, Miguel Ruiz-Garcia authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Intelligent Tutoring Systems Need Teachers.

Lisa Bardach, Korbinian Moeller, Miguel Ruiz-Garcia, Younes Strittmatter, Jennifer Meyer, Sebastian Musslick, Markus Spitzer

J. Comput. Assist. Learn., 2026

2025

Basic mathematical skills and fraction understanding predict percentage understanding: Evidence from an intelligent tutoring system.

Markus Wolfgang Hermann Spitzer, Miguel Ruiz-Garcia, Korbinian Moeller

Br. J. Educ. Technol., May, 2025

Curriculum learning in humans and neural networks.

Younes Strittmatter, Stefano Sarao Mannelli, Miguel Ruiz-Garcia, Sebastian Musslick, Markus Spitzer

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Towards a curriculum for neural networks to simulate symbolic arithmetic.

Samuel Lozano, Markus Spitzer, Younes Strittmatter, Korbinian Moeller, Miguel Ruiz-Garcia

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

2024

Dynamical loss functions shape landscape topography and improve learning in artificial neural networks.

Eduardo Lavin, Miguel Ruiz-Garcia

CoRR, 2024

2023

Does a Curriculum Improve Perceptual Decision Making?

Younes Strittmatter, Markus Spitzer, Miguel Ruiz-Garcia, Samuel Gershman, Sebastian Musslick

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2021

Some thoughts on catastrophic forgetting and how to learn an algorithm.

Miguel Ruiz-Garcia

CoRR, 2021

Tilting the playing field: Dynamical loss functions for machine learning.

Miguel Ruiz-Garcia, Ge Zhang, Samuel S. Schoenholz, Andrea J. Liu

Proceedings of the 38th International Conference on Machine Learning, 2021