From Taylor Series to Fourier Synthesis: The Periodic Linear Unit
Fuente:
arXiv
Saved in:
| Main Author: | Kudo, Shiko |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Non-convex cost functionals in boosting algorithms and methods for panel selection
by: Visentin, Marco
Published: (2001)
by: Visentin, Marco
Published: (2001)
An in-depth look at approximation via deep and narrow neural networks
by: Dommel, Joris, et al.
Published: (2025)
by: Dommel, Joris, et al.
Published: (2025)
On the Principles of ReLU Networks with One Hidden Layer
by: Huang, Changcun
Published: (2024)
by: Huang, Changcun
Published: (2024)
NeurOptimisation: The Spiking Way to Evolve
by: Cruz-Duarte, Jorge Mario, et al.
Published: (2025)
by: Cruz-Duarte, Jorge Mario, et al.
Published: (2025)
Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates
by: Fokam, Cabrel Teguemne, et al.
Published: (2024)
by: Fokam, Cabrel Teguemne, et al.
Published: (2024)
Pulse-Driven Neural Architecture: Learnable Oscillatory Dynamics for Robust Continuous-Time Sequence Processing
by: Sharma, Paras
Published: (2026)
by: Sharma, Paras
Published: (2026)
Divergence-free Linearized Neural Networks: Integral Representation and Optimal Approximation Rates
by: He, Juncai, et al.
Published: (2026)
by: He, Juncai, et al.
Published: (2026)
Polyharmonic Spline Packages: Composition, Efficient Procedures for Computation and Differentiation
by: Bakhvalov, Yuriy N.
Published: (2025)
by: Bakhvalov, Yuriy N.
Published: (2025)
Scalable Nested Optimization for Deep Learning
by: Lorraine, Jonathan
Published: (2024)
by: Lorraine, Jonathan
Published: (2024)
CAO: Curvature-Adaptive Optimization via Periodic Low-Rank Hessian Sketching
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image Classification
by: Hoang, Anh T., et al.
Published: (2023)
by: Hoang, Anh T., et al.
Published: (2023)
Deep Neural Networks with General Activations: Super-Convergence in Sobolev Norms
by: Yang, Yahong, et al.
Published: (2025)
by: Yang, Yahong, et al.
Published: (2025)
Enhanced Protein Intrinsic Disorder Prediction Through Dual-View Multiscale Features and Multi-objective Evolutionary Algorithm
by: Wang, Shaokuan, et al.
Published: (2026)
by: Wang, Shaokuan, et al.
Published: (2026)
Active Learning for Conditional Generative Compressed Sensing
by: DeLise, Alexander, et al.
Published: (2026)
by: DeLise, Alexander, et al.
Published: (2026)
Hybrid activation functions for deep neural networks: S3 and S4 -- a novel approach to gradient flow optimization
by: Kavun, Sergii
Published: (2025)
by: Kavun, Sergii
Published: (2025)
VORT: Adaptive Power-Law Memory for NLP Transformers
by: Mlaiki, Nabil
Published: (2026)
by: Mlaiki, Nabil
Published: (2026)
Local properties of neural networks through the lens of layer-wise Hessians
by: Bolshim, Maxim, et al.
Published: (2025)
by: Bolshim, Maxim, et al.
Published: (2025)
ZetA: A Riemann Zeta-Scaled Extension of Adam for Deep Learning
by: BC, Samiksha
Published: (2025)
by: BC, Samiksha
Published: (2025)
Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures
by: Bolshim, Maxim, et al.
Published: (2026)
by: Bolshim, Maxim, et al.
Published: (2026)
Stochastic Estimation of the Layer-wise Hessian Trace for Monitoring Neural-network Training
by: Bolshim, Maxim, et al.
Published: (2026)
by: Bolshim, Maxim, et al.
Published: (2026)
Learning Hamiltonian flows from numerical integrators and examples
by: Fang, Rui, et al.
Published: (2025)
by: Fang, Rui, et al.
Published: (2025)
The Hidden Linear Structure in Score-Based Models and its Application
by: Wang, Binxu, et al.
Published: (2023)
by: Wang, Binxu, et al.
Published: (2023)
Alternately-optimized SNN method for acoustic scattering problem in unbounded domain
by: Song, Haoming, et al.
Published: (2025)
by: Song, Haoming, et al.
Published: (2025)
Total Generalized Variation regularization closes the gap between neural-eld and classical methods in seismic travel-time tomography
by: Kurosawa, Isao
Published: (2026)
by: Kurosawa, Isao
Published: (2026)
Shallow ReLU$^s$ Networks in $L^p$-Type and Sobolev Spaces: Approximation and Path-Norm Controlled Generalization
by: Li, Weizhao, et al.
Published: (2026)
by: Li, Weizhao, et al.
Published: (2026)
Contraction, Criticality, and Capacity: A Dynamical-Systems Perspective on Echo-State Networks
by: Singh, Pradeep, et al.
Published: (2025)
by: Singh, Pradeep, et al.
Published: (2025)
On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers
by: Štrupl, Miroslav, et al.
Published: (2025)
by: Štrupl, Miroslav, et al.
Published: (2025)
Compressive sensing inspired self-supervised single-pixel imaging
by: Lu, Jijun, et al.
Published: (2026)
by: Lu, Jijun, et al.
Published: (2026)
JacNet: Learning Functions with Structured Jacobians
by: Lorraine, Jonathan, et al.
Published: (2024)
by: Lorraine, Jonathan, et al.
Published: (2024)
EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
by: K, Prasanth K, et al.
Published: (2025)
by: K, Prasanth K, et al.
Published: (2025)
Polyharmonic Cascade
by: Bakhvalov, Yuriy N.
Published: (2025)
by: Bakhvalov, Yuriy N.
Published: (2025)
Task-Synchronized Recurrent Neural Networks
by: Lukoševičius, Mantas, et al.
Published: (2022)
by: Lukoševičius, Mantas, et al.
Published: (2022)
Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing
by: Bara, Marc
Published: (2025)
by: Bara, Marc
Published: (2025)
Spiking Sequence Machines and Transformers
by: Bose, Joy
Published: (2026)
by: Bose, Joy
Published: (2026)
Ghosts of Softmax: Complex Singularities That Limit Safe Step Sizes in Cross-Entropy
by: Sao, Piyush
Published: (2026)
by: Sao, Piyush
Published: (2026)
Challenges in automatic differentiation and numerical integration in physics-informed neural networks modelling
by: Daněk, Josef, et al.
Published: (2024)
by: Daněk, Josef, et al.
Published: (2024)
Understanding Two-Layer Neural Networks with Smooth Activation Functions
by: Huang, Changcun
Published: (2025)
by: Huang, Changcun
Published: (2025)
Collocation-based Robust Physics Informed Neural Networks for time-dependent simulations of pollution propagation under thermal inversion conditions on Spitsbergen
by: Siwik, Leszek, et al.
Published: (2026)
by: Siwik, Leszek, et al.
Published: (2026)
Perforated Neural Networks for Keyword Spotting
by: Gopal, Vishy, et al.
Published: (2026)
by: Gopal, Vishy, et al.
Published: (2026)
mlx-snn: Spiking Neural Networks on Apple Silicon via MLX
by: Qin, Jiahao
Published: (2026)
by: Qin, Jiahao
Published: (2026)
Similar Items
-
Non-convex cost functionals in boosting algorithms and methods for panel selection
by: Visentin, Marco
Published: (2001) -
An in-depth look at approximation via deep and narrow neural networks
by: Dommel, Joris, et al.
Published: (2025) -
On the Principles of ReLU Networks with One Hidden Layer
by: Huang, Changcun
Published: (2024) -
NeurOptimisation: The Spiking Way to Evolve
by: Cruz-Duarte, Jorge Mario, et al.
Published: (2025) -
Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates
by: Fokam, Cabrel Teguemne, et al.
Published: (2024)