4 papers
ScoresActivation: A New Activation Function for Model Agnostic Global Explainability by Design
Emanuel Covaci, Fabian Galis, Radu Balan +2
Understanding the decision of large deep learning models is a critical challenge for building transparent and trustworthy systems. Although the current post hoc explanation methods…
PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training
Anirudh Satheesh, Anant Khandelwal, Mucong Ding +1
Neural operators offer a powerful paradigm for solving partial differential equations (PDEs) that cannot be solved analytically by learning mappings between function spaces. Howeve…
CUR Matrix Approximation through Convex Optimization for Feature Selection
Kathryn Linehan, Radu Balan
The singular value decomposition (SVD) is commonly used in applications requiring a low rank matrix approximation. However, the singular vectors cannot be interpreted in terms of t…
Approximation of the Proximal Operator of the Norm Using a Neural Network
Kathryn Linehan, Radu Balan
Computing the proximal operator of the norm, , generally requires a sort of the input data, or at least a partial sort…