Cover Image

Employing Discrete Fourier Transform in Representational Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	HojatJalali, Raoof, Trentin, Edmondo
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Self-Replicating and Self-Employed Smart Contract on Ethereum Blockchain
by: Masumori, Atsushi, et al.
Published: (2024)

Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization
by: Liu, Shengcai, et al.
Published: (2024)

On-Chip Learning via Transformer In-Context Learning
by: Finkbeiner, Jan, et al.
Published: (2024)

Analysing Rescaling, Discretization, and Linearization in RNNs for Neural System Modelling
by: Caruso, Mariano, et al.
Published: (2023)

Block-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking
by: Ye, Furong, et al.
Published: (2026)

Discrete Gene Crossover Accelerates Solution Discovery in Quality-Diversity Algorithms
by: Hutchinson, Joshua, et al.
Published: (2026)

Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
by: Nguyen, Duc Anh, et al.
Published: (2025)

Learning Discretized Bayesian Networks with GOMEA
by: Ha, Damy M. F., et al.
Published: (2024)

Spiking Wavelet Transformer
by: Fang, Yuetong, et al.
Published: (2024)

Equivalence of Personalized PageRank and Successor Representations
by: Millidge, Beren
Published: (2025)

Spiking Transformer with Spatial-Temporal Attention
by: Lee, Donghyun, et al.
Published: (2024)

On the Structural (Dis)Agreement of Landscape Representations in Black-Box Optimization
by: Gjorgjieva, Sara, et al.
Published: (2026)

Toward Relative Positional Encoding in Spiking Transformers
by: Lv, Changze, et al.
Published: (2025)

Transformer Semantic Genetic Programming for Symbolic Regression
by: Anthes, Philipp, et al.
Published: (2025)

TMN: A Lightweight Neuron Model for Efficient Nonlinear Spike Representation
by: Gu, Yiwen, et al.
Published: (2024)

RTFormer: Re-parameter TSBN Spiking Transformer
by: Wang, Hongzhi, et al.
Published: (2024)

BrainFLORA: Uncovering Brain Concept Representation via Multimodal Neural Embeddings
by: Li, Dongyang, et al.
Published: (2025)

Winner-Take-All Spiking Transformer for Language Modeling
by: Zhou, Chenlin, et al.
Published: (2026)

Interpreting V1 Population Activity via Image-Neural Latent Representation Alignment
by: Wang, Xin, et al.
Published: (2026)

Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing
by: Pedersen, Jens E., et al.
Published: (2023)

SpikePool: Event-driven Spiking Transformer with Pooling Attention
by: Lee, Donghyun, et al.
Published: (2025)

Robustness and Invariance of Hybrid Metaheuristics under Objective Function Transformations
by: Sroka, Grzegorz, et al.
Published: (2025)

TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers
by: Shen, Sicheng, et al.
Published: (2026)

STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking
by: Shen, Sicheng, et al.
Published: (2025)

Bishop: Sparsified Bundling Spiking Transformers on Heterogeneous Cores with Error-Constrained Pruning
by: Xu, Boxun, et al.
Published: (2025)

Exploration of Pareto-preserving Search Space Transformations in Multi-objective Test Functions
by: Vermetten, Diederick, et al.
Published: (2026)

Probing the Representational Geometry of Color Qualia: Dissociating Pure Perception from Task Demands in Brains and AI Models
by: Xu, Jing
Published: (2025)

Research on Aerodynamic Performance Prediction of Airfoils Based on a Fusion Algorithm of Transformer and GAN
by: MaolinYang, et al.
Published: (2025)

Combining Aggregated Attention and Transformer Architecture for Accurate and Efficient Performance of Spiking Neural Networks
by: Zhang, Hangming, et al.
Published: (2024)

Looped Transformers are Better at Learning Learning Algorithms
by: Yang, Liu, et al.
Published: (2023)

Recurrent Distance Filtering for Graph Representation Learning
by: Ding, Yuhui, et al.
Published: (2023)

Discrete Natural Evolution Strategies
by: Amin, Ahmad Ayaz
Published: (2024)

TransGP: Task-Conditioned Transformer-Guided Genetic Programming for Multitask Dynamic Flexible Job Shop Scheduling
by: Xu, Meng, et al.
Published: (2026)

Neural Genetic Search in Discrete Spaces
by: Kim, Hyeonah, et al.
Published: (2025)

Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning
by: Jaziri, Achref, et al.
Published: (2023)

Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
by: Shen, Guobin, et al.
Published: (2023)

Stochastic Forward-Forward Learning through Representational Dimensionality Compression
by: Zhu, Zhichao, et al.
Published: (2025)

Learning to Transfer for Evolutionary Multitasking
by: Wu, Sheng-Hao, et al.
Published: (2024)

Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals
by: Sijben, E. M. C., et al.
Published: (2024)

Meta-Learning an Evolvable Developmental Encoding
by: Montero, Milton L., et al.
Published: (2024)