Spectral Bias

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1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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  1. Contrastive Attention Mitigates Spectral Bias in Spiking Transformers

    Oct 1, 2026Xiaoli Liu, Malu Zhang, Yang YangSpiking TransformersSelf-Attention

    School of Computer Science and Engineering, University of Electronic Science and Technology of China

  2. Balancing Frequencies and Pixels in Flow Matching

    Sep 2, 2026Lucas Degeorge, Paul Couairon, Arijit Ghosh +3Image GenerationFlow Matching

    LIX, École Polytechnique, CNRS, IP Paris, France · LIGM, École Nationale des Ponts et Chaussées, IP Paris, UGE, CNRS, France · UC Berkeley

  3. Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning

    Aug 13, 2026Zeyang Zhang, Tieliang Gong, Junyan Lu +1Loss of PlasticityContinual Learning

    School of Computer Science and Technology, Xi’an Jiaotong University and Institute of Multimedia Knowledge Fusion and Engineering, Xi’an 710049, China

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

    Aug 6, 2026Yulun Wu, Matthieu Barreau, Miguel Aguiar +1Neural PDE SolversSpectral Bias

    Division of Decision and Control Systems, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, 100 44, Sweden

  5. SPARC-Net: A Spectral, Causality-Aware, and Hard-Constrained Physics-Informed Architecture for Stiff and Shock-Dominated Partial Differential Equations

    Jul 13, 2026Divyavardhan Singh, Dimple Sonone, Hammad Mohammad +1PDE SolvingSpectral Bias

    Dept. of Electronics Engg. SVNIT Surat, India

  6. Frequency Shift Physics-Informed Extreme Learning Machine for Solving High-Frequency Partial Differential Equations

    Jul 2, 2026Xiong Xiong, Ruonan Zhai, Zheng Zeng +3PDE SolvingFrequency-Domain Feature Learning

    School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an, 710072, China · MIIT Key Laboratory of Dynamics and Control of Complex Systems, Northwestern Polytechnical University, Xi’an, 710072, China · College of Science, Shijiazhuang University, Shijiazhuang, 050035, China +2

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

    Jun 26, 2026Buwaneka Epakanda, Athulya Ratnayake, Pandula Thennakoon +4Implicit Neural RepresentationsFrequency-Domain Feature Learning

  8. Calibrated Harmonic Overlaid Implicit Neural Representations for Multi-Dimensional Data

    Jun 25, 2026Honghang Chen, Xiujun Zhang, Xiaoli Sun +1Implicit Neural RepresentationsSpectral Bias

    Shenzhen University, Shenzhen, China · Shenzhen Polytechnic University, Shenzhen, China · Southern Illinois University Carbondale, USA

  9. Spectral Gating via Damped Oscillations for Adaptive Implicit Neural Representations

    Jun 22, 2026Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti +1Implicit Neural RepresentationsFrequency-Domain Feature Learning

    CVLab, University of Bologna · Ca’ Foscari University of Venice

  10. The Fractal Neural Operator: Overcoming Spectral Bias in Chaotic Attractors via Prime-Harmonic Weierstrass Encodings

    Jun 22, 2026Kanishk AwadhiyaSpectral BiasChaotic Dynamical Systems

    Independent Researcher

  11. RepNN: Tackling spectral bias in deep neural networks for regression and PDE problems via parameter reparameterization

    Jun 15, 2026Yong Wang, Tao Zhou, Xuhui MengPDE SolvingSpectral Bias

    Institute of Interdisciplinary Research for Mathematics and Applied Science, School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, China · Institute of Computational Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China

  12. SirenFNO: Efficient and Full Frequency Learning of Fourier Neural Operators

    Jun 9, 2026Pengqing Shi, Jie Yin, Stephen Tierney +1Fourier Neural OperatorSpectral Bias

    The University of Sydney, Australia

  13. Correcting Neural Operator Spectral Bias via Diffusion Posterior Sampling with Sparse Observations

    Jun 2, 2026Niccolò Perrone, Fanny Lehmann, Stefania Fresca +1PDE Surrogate ModelingSpectral Bias

    Université Paris-Saclay, CentraleSupélec, CNRS, ENS Paris-Saclay · Laboratoire de Mécanique Paris-Saclay UMR 9026 · 8-10 rue Joliot Curie, 91190 Gif-sur-Yvette, France +5

  14. Colored Noise Diffusion Sampling

    May 28, 2026Hadar Davidson, Noam Issachar, Sagie BenaimDiffusion SamplingSpectral Bias

    The Hebrew University of Jerusalem

  15. Aperiodic and Low-Frequency Spectral Bias in Reconstruction based EEG Foundation Models

    May 26, 2026Aditya Kommineni, Emily Zhou, Kleanthis Avramidis +7Self-Supervised Time Series Representation LearningEEG Decoding

    Ming Hsieh Department of Electrical and Computer Engineering1 University of Southern California · Thomas Lord Department of Computer Science2[cs.LG] University of Southern California · Department of Mathematical Sciences3 Aalborg University

  16. Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation

    May 21, 2026Xiaotian Liu, Shuyuan Shang, Xiaopeng Wang +2Neural PDE SolversSpectral Bias

    1Dartmouth College · 2CUHK Shenzhen · 3Lawrence Berkeley National Lab

  17. A Fourier perspective on the learning dynamics of neural networks: from sample complexities to mechanistic insights

    May 16, 2026Fabiola Ricci, Claudia Merger, Sebastian GoldtSample ComplexityFrequency-Domain Feature Learning

    International School of Advanced Studies (SISSA), Trieste, Italy

  18. Frequency Bias and OOD Generalization in Neural Operators under a Variable-Coefficient Wave Equation

    May 13, 2026Runlong Xie, An LuoFourier Neural OperatorPDE Solving

    Independent Researcher · School of Statistics, University of Minnesota, MN, USA.

  19. Spectral Energy Centroid: a Metric for Improving Performance and Analyzing Spectral Bias in Implicit Neural Representations

    May 12, 2026Tomasz Dądela, Adam Kania, Maciej Rut +1Implicit Neural RepresentationsSpectral Bias

    Jagiellonian University IDEAS Kraków, Poland

  20. Convergence Analysis of Newton's Method for Neural Networks in the Overparameterized Limit

    May 8, 2026Konstantin Riedl, Konstantinos Spiliopoulos, Justin SirignanoNeural Network OptimizationSpectral Bias

    Mathematical Institute University of Oxford · Department of Mathematics & Statistics Boston University

  21. Diagnosing Spectral Ceilings in Equivariant Neural Force Fields

    May 8, 2026Hyunmog KimMachine Learning Interatomic PotentialsSpectral Bias

    Independent Researcher.

  22. Topological Neural Tangent Kernel

    May 1, 2026Sanjukta KrishnagopalSpectral BiasNeural Tangent Kernel

    Department of Computer Science, University of California Santa Barbara

  23. PILIR: Physics-Informed Local Implicit Representation

    May 1, 2026Jianfeng Li, Feng Wang, Ke TangNeural PDE SolversImplicit Neural Representations

    School of Computer Science, Wuhan University · School of Computer Science and Technology, Southern University of Science and Technology

  24. Implicit Neural Representations: A Signal Processing Perspective

    Apr 16, 2026Dhananjaya Jayasundara, Vishal M. PatelImplicit Neural RepresentationsSpectral Bias

    Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218 USA

  25. Pseudo-differential-enhanced physics-informed neural networks

    Feb 16, 2026Andrew GracykPDE SolvingSpectral Bias

    Department of Mathematics, Purdue University, West Lafayette, IN 47907, United States