Efficiently Learning Fourier Sparse Set Functions. - Andisheh Amrollahi; Amir Zandieh; Michael Kapralov; Andreas Krause 001 (NeurIPS, 2019)

Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases. - Chris Wendler; Andisheh Amrollahi; Bastian Seifert; Andreas Krause 001; Markus Püschel (AAAI, 2021)

Instance-wise algorithm configuration with graph neural networks. - Romeo Valentin; Claudio Ferrari; Jérémy Scheurer; Andisheh Amrollahi; Chris Wendler; Max B. Paulus (CoRR, 2022)

A scalable Walsh-Hadamard regularizer to overcome the low-degree spectral bias of neural networks. - Ali Gorji; Andisheh Amrollahi; Andreas Krause 001 (UAI, 2023)

Spectral Bias in Supervised Learning. - Andisheh Amrollahi (2023)

Amortized SHAP values via sparse Fourier function approximation. - Ali Gorji; Andisheh Amrollahi; Andreas Krause 001 (CoRR, 2024)