fast fourier transform

State-Free Inference of State-Space Models: The *Transfer Function* Approach ICML 2024 Visual Fourier Prompt Tuning NeurIPS 2024 Deep Frequency Filtering for Domain Generalization CVPR 2023 Domain Agnostic Fourier Neural Operators NeurIPS 2023 Fourier Neural Operator with Learned Deformations for PDEs on General Geometries JMLR 2023 Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator ACL 2023 Learning Decorrelated Representations Efficiently Using Fast Fourier Transform CVPR 2023 Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction ICCV 2023 Volumetric Optimal Transportation by Fast Fourier Transform ICLR 2023 Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform EMNLP 2022 EZCrop: Energy-Zoned Channels for Robust Output Pruning WACV 2022 Fast Fourier Transform Reductions for Bayesian Network Inference AISTATS 2022 Long-range Sequence Modeling with Predictable Sparse Attention ACL 2022 Fast Fourier Intrinsic Network WACV 2021 FFT-OT: A Fast Algorithm for Optimal Transportation ICCV 2021 Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding NeurIPS 2021 Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT AISTATS 2021 Butterfly Transform: An Efficient FFT Based Neural Architecture Design CVPR 2020 Computing Tight Differential Privacy Guarantees Using FFT AISTATS 2020 FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions CVPR 2020 Fast Fourier Convolution NeurIPS 2020 Neural FFTs for Universal Texture Image Synthesis NeurIPS 2020 On Binary Embedding using Circulant Matrices JMLR 2018 Spherical CNNs ICLR 2018 Modeling Sub-Event Dynamics in First-Person Action Recognition CVPR 2017