fourier analysis

GloptiNets: Scalable Non-Convex Optimization with Certificates NeurIPS 2023 How much does Initialization Affect Generalization? ICML 2023 Multiplicative Fourier Level of Detail CVPR 2023 On Testing and Learning Quantum Junta Channels COLT 2023 BACON: Band-Limited Coordinate Networks for Multiscale Scene Representation CVPR 2022 Depth separation beyond radial functions JMLR 2022 Fourier Analysis-based Iterative Combinatorial Auctions IJCAI 2022 Fourier Document Restoration for Robust Document Dewarping and Recognition CVPR 2022 Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit NeurIPS 2022 Implicit Bias of Linear Equivariant Networks ICML 2022 Local Texture Estimator for Implicit Representation Function CVPR 2022 Models Out of Line: A Fourier Lens on Distribution Shift Robustness NeurIPS 2022 Non-Convex Optimization with Certificates and Fast Rates Through Kernel Sums of Squares COLT 2022 On the Frequency-bias of Coordinate-MLPs NeurIPS 2022 Optimal Accounting of Differential Privacy via Characteristic Function AISTATS 2022 Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces ICML 2022 Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster AAAI 2021 Enhancing Robustness of Neural Networks through Fourier Stabilization ICML 2021 Finding Relevant Information via a Discrete Fourier Expansion ICML 2021 Prediction and generalisation over directed actions by grid cells ICLR 2021 Reconstructing weighted voting schemes from partial information about their power indices COLT 2021 The staircase property: How hierarchical structure can guide deep learning NeurIPS 2021 A Non-Trivial Algorithm Enumerating Relevant Features over Finite Fields ALT 2020 FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints AAAI 2020 Analysis of Feature Visibility in Non-Line-Of-Sight Measurements CVPR 2019