3 papers
cs.LG2025
Evaluating Simplification Algorithms for Interpretability of Time Series Classification
Brigt Håvardstun, Felix Marti-Perez, Cèsar Ferri +1
In this work, we introduce metrics to evaluate the use of simplified time series in the context of interpretability of a TSC -- a Time Series Classifier. Such simplifications are i…
cs.CV2025
Relative Drawing Identification Complexity is Invariant to Modality in Vision-Language Models
Diogo Freitas, Brigt Håvardstun, Cèsar Ferri +3
Large language models have become multimodal, and many of them are said to integrate their modalities using common representations. If this were true, a drawing of a car as an imag…
cs.AI2025
Predictable Artificial Intelligence
Lexin Zhou, Pablo A. Moreno-Casares, Fernando MartÃnez-Plumed +12
We introduce the fundamental ideas and challenges of Predictable AI, a nascent research area that explores the ways in which we can anticipate key validity indicators (e.g., perfor…