1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2024
The Function-Representation Model of Computation
Alfredo Ibias, Hector Antona, Guillem Ramirez-Miranda +2
Cognitive Architectures are the forefront of the research into developing an artificial cognition. However, they approach the problem from a separated memory and program model of c…
cs.LG2024★ 1 cited
Improving Noise Robustness through Abstractions and its Impact on Machine Learning
Alfredo Ibias, Karol Capala, Varun Ravi Varma +2
Noise is a fundamental problem in learning theory with huge effects in the application of Machine Learning (ML) methods, due to real world data tendency to be noisy. Additionally,…