Fourier

Momentum

20 papers in the last four weeks, up 300% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28

Latest papers 125

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  1. PhaseAT: Fourier Phase Adversarial Training for Medical Image Domain Generalization

    Oct 1, 2026Ahmed Sharshar, Asif Hanif, Naveen Kumar Kummari +2Multimodal Domain GeneralizationMedical Images

  2. Group-Invariant Statistics Determine Embedding Geometry: Harmonic Analysis of Representations from Bach to the Night Sky

    Sep 30, 2026Liam Storan, Andreas Tolias, Nina MiolaneRepresentation SpaceSymmetry

  3. TSGL: Teacher-Student Graph Learning for 3DGS Compression

    Sep 29, 2026Matin Bani Saedi, Matthew Kyan, Gene CheungLarge-Scale 3D Editing DatasetSparse-View

  4. Rate-Agnostic Bioacoustics: Heterogeneous Multi-Taxa Classification with Continuous Filterbanks and Fourier Neural Operators

    Sep 29, 2026Stefano Ciapponi, Francesco Ardan Dal Rı, Nicola Conci +1Passive Acoustic MonitoringFourier

  5. Aperture: Merge-Consistent Rotary States for Compressed Tokens

    Sep 29, 2026Yuhao Du, Shunian ChenToken CompressionRotary Position Embedding

  6. Subgroup Rank-1 Lattice for Practical High-dimensional Black-box Integral Approximation

    Sep 28, 2026Yueming LyuKernel MethodBayesian Quadrature

  7. A Study of the Limits of Collaborative DCT-Based Image Denoising via Interpretable Neural Networks

    Sep 24, 2026Cristian Comellas, Julia Navarro, Antoni BuadesIterative Denoising MethodsVisual Priors

  8. Exact Factorisation and Fast Computation of Invertible Constant-Q Transforms

    Sep 24, 2026Facundo Franchino, Eloi Moliner, Vesa VälimäkiFourierQuantizer

  9. Modeling Load-, Velocity-, and Temperature-Dependent Transmission Errors of Cycloidal Drives for Industrial Robots Using Fourier Series

    Sep 24, 2026Christian J. E. Bauer, Valentin Kamm, Marcel Dzubba +3WheelTransmission

  10. On Basis Function Selection for Sparse Gaussian Process Regression

    Sep 22, 2026Marnix Van Soom, Ivan De BoiGaussian ProcessBasis Functions

  11. Notes on Fourier-Bessel wavelets

    Sep 22, 2026Marcel Venturotti, Georgios ExarchakisWaveletsFourier

  12. Beyond Uniform Subspaces: Spectrum-Aware and Depth-Adaptive Fusion for Multi-Task Model Merging

    Sep 21, 2026Ruxi Gu, Zilei Wang, Wei WangContinual Model MergingMulti--Task Learning

  13. Fourier Analysis of Parametrized Interactive Quantum Classifiers

    Sep 16, 2026Fábio Novaes, Fernando M. de Paula Neto, João V. M. CardosoQuantum LearningHamiltonian

  14. Quantum-Inspired Trainable and Parameter-Efficient Tensor Networks for Image Inpainting

    Sep 15, 2026Shiwen An, Konstantinos SlavakisTensor NetworksQuantization-Aware Training

  15. Implementing a White-Box Undetectable Backdoor for Random Fourier Features

    Sep 14, 2026Michael Collins, Jada Cumberland, Brianne Dunn +3Atom-Averaged FeaturesBlack Box

  16. EBL: Efficient Broad Learning for Distributed Adaptive Harmonic Analysis

    Sep 14, 2026Changhong Li, Georgios Floros, Biswajit Basu +1Electric VehiclesField-Programmable Gate Arrays

  17. Low-Dimensional Embeddings for Gaussian Kernels on Manifolds

    Sep 14, 2026Soumik Dutta, Kunal DuttaData ManifoldKernel Method

  18. CRFCAN: A Complex-Valued Cross-Domain Residual Network for Joint Channel and Phase Noise Estimation in Sub-THz OFDM Systems

    Sep 14, 2026Ruilin Wang, Xiaodai DongChannel EstimationFourier

  19. LaST-SR: Laplace-Inspired Steady-Transient Complex-Frequency Decomposition for Single Image Super-Resolution

    Sep 2, 2026Linhao Li, Zhaojie Pan, Langkun ChenTwo-Level Spatial-Frequency Fusion StrategyFourier

  20. FLaG: Frequency-Domain Latent-attention Gated Pooling for Token Aggregation

    Sep 1, 2026Kewei Li, Rongying Zhang, Xueli Wang +6Global Average PoolingFourier

  21. U-PAST: A Phase-Aware Audio Spectrogram Transformer-U-Net for Single-Channel Speech Enhancement

    Aug 31, 2026Cao Duong Ly, Jörn AnemüllerSpeech EnhancementNeural Audio

  22. Alignment of Similarity-Transformed Images Based on Fourier--Mellin Transform Using Auxiliary Function Method

    Aug 12, 2026Shinji Yamashita, Yuma Kinoshita, Hitoshi KiyaImage RegistrationFourier

  23. Alternating Levenberg-Marquardt Training of Physics-Informed Neural Networks with Fourier-Enhanced Features

    Aug 6, 2026Yulun Wu, Matthieu Barreau, Miguel Aguiar +1Parametric Physics-Informed Neural NetworkPartial Differential Equations

  24. Universal Function Approximation via Diffractive Optical Processors: Physical Limits, Error Bounds, and Learnability

    Aug 5, 2026Md Sadman Sakib Rahman, Che-Yung Shen, Aydogan OzcanOpticalFourier

  25. Estimating SSIM from MSE for DCT-Based Compressed Images

    Aug 3, 2026Luc Trudeau, Maria G. MartiniLearned Image CompressionImage Quality Assessment

  26. ClockRoPE: Random Fourier Rotations for Temporal Routine Modeling

    Jul 29, 2026Yiwen Chen, Joshua Ainslie, Krzysztof Choromanski +4Rotary Position EmbeddingSequence Modeling

  27. Breaking the Periodicity Assumption: Robust Tensorial Multi-View Clustering via Graph-Spectral Low-Rank Learning

    Jul 28, 2026Jintian Ji, Xingsu Li, Songhe FengTensor DecompositionClustering

  28. Fourier Feature Physics-Informed Neural Networks for Elasto-Plastic Analysis of Geomaterials with a Non-Associative Mohr-Coulomb Model

    Jul 27, 2026Apisit Robjanghvad, Sompote YouwaiFinite Element MethodParametric Physics-Informed Neural Network

  29. Low-light Image Enhancement via Multi-scale Attention combined with Fourier Transform

    Jul 27, 2026Wenbin Du, Jian Long, Zhu CaoLow-Light Image EnhancementLow-Light Images

  30. Fast Trainable Multilinear Bases for Image Compression

    Jul 26, 2026Shiwen An, Zhongyi Ni, Huanhai Zhou +1Learned Image CompressionBasis Functions

  31. Extending Fourier Neural Operators for Modeling Parameterized and Coupled PDEs

    Jul 26, 2026Cheng Jing, Uvini Balasuriya Mudiyanselage, Abhishek Verma +3Fourier Neural OperatorsNeural Operators

  32. Distribution-Specific Curvature Control with Finite-Sample Guarantees for Open-Weight Safety

    Jul 24, 2026Domenic Rosati, Ali Dadsetan, Hong Huang +5Safety AlignmentCurvature-Aware Spectral Framework

  33. Flash EQ-Linear: Accelerating Equivariant Linear Layers via Group-wise Discrete Fourier Transform

    Jul 23, 2026Zhongchen Zhao, Jixin Wang, Qi Xie +4Equivariant Neural NetworksRotation Equivariance

  34. Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers

    Jul 23, 2026Hariharan Ramesh, Jyotikrishna DassLow-Rank Adaptation AdaptersFourier

  35. Adaptive Mamba Neural Operators

    Jul 20, 2026Zeyuan Song, Zheyu JiangNeural Partial Differential Equation SolversNeural Operators

  36. An Explainable FFT-Based Spatial-Frequency Fusion Framework for Deepfake Detection

    Jul 19, 2026Pamela Kirui, Cho Hyuk, Qingzhong Liu +1Deepfake DetectionTwo-Level Spatial-Frequency Fusion Strategy

  37. Coordinated Incremental Trajectory Tracking of a Tailsitter Drone

    Jul 13, 2026Evangelos Ntouros, Ewoud J. J. SmeurUnmanned Aerial VehiclesAutonomous Drones

  38. Multiplication Beyond Groups: Stratified Fourier Mechanisms in Transformer Circuits

    Jul 8, 2026Zitong Andrew Chen, Junaid Hasan, Akhil Srinivasan +2FourierSmall Models

  39. Fourier Preconditioning for Neural Feature Learning

    Jul 2, 2026Preston Pitzer, Anish Pradhan, Harpreet S. DhillonSpectral PreconditioningFourier

  40. From Spectral Methods to Sample Complexity Bounds for Fourier Neural Operators

    Jul 1, 2026Nisha Chandramoorthy, Daniel Sanz-Alonso, Nathan WaniorekFourier Neural OperatorsNonlinear Operators

  41. FRAME: Learning the Adaptation Domain with a Mixture of Fractional-Fourier Experts

    Jun 30, 2026Tom Saliencro, Maya Lindqvist, Rohan Desai +2FourierExperts

  42. Higher-Order Fourier Neural Operator: Explicit Mode Mixer for Nonlinear PDEs

    Jun 26, 2026Alex Colagrande, Paul Caillon, Eva Feillet +1Fourier Neural OperatorsPartial Differential Equations

  43. ScaLe-INR: Scale and Learn Implicit Neural Representations

    Jun 26, 2026Buwaneka Epakanda, Athulya Ratnayake, Pandula Thennakoon +4Signal ReconstructionMulti-Scale Convolution

  44. Scalable and Differentiable Point-Cloud Registration Using Maximum Mean Discrepancy

    Jun 26, 2026Rixon Crane, Fahira Afzal Maken, Nicholas Lawrance +4Point Cloud RegistrationImage Registration

  45. A Framework for Directed Hypergraph Signal Processing via tensor t-SVD

    Jun 23, 2026Carlos Mundo-Levano, Nicolás Bello, Daniel L. Lau +1HypergraphsGraph Edge Sparsification

  46. Real vs. Complex Spectral Bases for Neural Operators: The Role of Green's Function Alignment

    Jun 23, 2026Jason Sulskis, Sathya RaviFourier Neural OperatorsNeural Operators

  47. Data Augmentation: A Fourier Analysis Perspective

    Jun 23, 2026Behrooz Tahmasebi, Melanie Weber, Stefanie JegelkaData AugmentationEquivariant Learning

  48. Prime Fourier Embeddings: A Principled Basis for Modular Arithmetic

    Jun 22, 2026Hyunsang Hwang, Suhyun Bae, Donghun LeeBehavioral EmbeddingsFourier

  49. Configurable Algorithms for Histopathologic Cancer Detection on Quantum Hardware

    Jun 19, 2026Nandika Goyal, Glen Uehara, Andreas SpaniasFourier