2 papers
cs.CV2025
C-SWAP: Explainability-Aware Structured Pruning for Efficient Neural Networks Compression
Baptiste Bauvin, Loïc Baret, Ola Ahmad
Neural network compression has gained increasing attention in recent years, particularly in computer vision applications, where the need for model reduction is crucial for overcomi…
cs.LG2025
Invariant Causal Set Covering Machines
Thibaud Godon, Baptiste Bauvin, Pascal Germain +2
Rule-based models, such as decision trees, appeal to practitioners due to their interpretable nature. However, the learning algorithms that produce such models are often vulnerable…