:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Konstantaropoulos, Orestis, Mallios, Theodoris, Papadopouli, Maria
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2502.14023
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rare Events, Real Signals: Functional Ensembles as Units of Computation in Deep Spiking Networks
by: Aravind, Aditi, et al.
Published: (2026)

Brain-Inspired Efficient Pruning: Exploiting Criticality in Spiking Neural Networks
by: Chen, Shuo, et al.
Published: (2023)

Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit Allocation
by: Yao, Xingting, et al.
Published: (2025)

Benchmarking Spiking Neural Network Learning Methods with Varying Locality
by: Lin, Jiaqi, et al.
Published: (2024)

STAS: Spatio-Temporal Adaptive Computation Time for Spiking Transformers
by: Kang, Donghwa, et al.
Published: (2025)

DS2TA: Denoising Spiking Transformer with Attenuated Spatiotemporal Attention
by: Xu, Boxun, et al.
Published: (2024)

Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
by: Zhao, Kejie, et al.
Published: (2025)

B-DENSE: Branching For Dense Ensemble Network Supervision Efficiency
by: Puniani, Cherish, et al.
Published: (2026)

Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness
by: Du, Kangrui, et al.
Published: (2025)

Multistep Distillation of Diffusion Models via Moment Matching
by: Salimans, Tim, et al.
Published: (2024)

Foundry: Distilling 3D Foundation Models for the Edge
by: Letellier, Guillaume, et al.
Published: (2025)

Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples
by: Xu, Nuo, et al.
Published: (2022)

APTx Neuron: A Unified Trainable Neuron Architecture Integrating Activation and Computation
by: Kumar, Ravin
Published: (2025)

Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detection
by: Bodden, Lennard, et al.
Published: (2024)

Learning Evolution via Optimization Knowledge Adaptation
by: Wang, Chao, et al.
Published: (2025)

SNN-PAR: Energy Efficient Pedestrian Attribute Recognition via Spiking Neural Networks
by: Wang, Haiyang, et al.
Published: (2024)

ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling
by: Zhan, Qiugang, et al.
Published: (2023)

Energy-Aware Spike Budgeting for Continual Learning in Spiking Neural Networks for Neuromorphic Vision
by: Meem, Anika Tabassum, et al.
Published: (2026)

Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation
by: Lei, Zhenxin, et al.
Published: (2024)

Analyzing and Improving the Training Dynamics of Diffusion Models
by: Karras, Tero, et al.
Published: (2023)

Elastic Spiking Transformers for Efficient Gesture Understanding
by: Ancilotto, Alberto, et al.
Published: (2026)

CoNO: Complex Neural Operator for Continous Dynamical Physical Systems
by: Tiwari, Karn, et al.
Published: (2024)

DRiVE: Dynamic Recognition in VEhicles using snnTorch
by: Vora, Heerak, et al.
Published: (2025)

Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning
by: Raymond, Christian, et al.
Published: (2024)

Winning the Lottery by Preserving Network Training Dynamics with Concrete Ticket Search
by: Arora, Tanay, et al.
Published: (2025)

DUA-D2C: Dynamic Uncertainty Aware Method for Overfitting Remediation in Deep Learning
by: Siddiqui, Md. Saiful Bari, et al.
Published: (2024)

Revisiting the Platonic Representation Hypothesis: An Aristotelian View
by: Gröger, Fabian, et al.
Published: (2026)

A Significantly Better Class of Activation Functions Than ReLU Like Activation Functions
by: Noel, Mathew Mithra, et al.
Published: (2024)

TIM: An Efficient Temporal Interaction Module for Spiking Transformer
by: Shen, Sicheng, et al.
Published: (2024)

Attention via Synaptic Plasticity is All You Need: A Biologically Inspired Spiking Neuromorphic Transformer
by: Mondal, Kallol, et al.
Published: (2025)

From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks
by: Lee, Jae Hee, et al.
Published: (2023)

Ge$^\text{2}$mS-T: Multi-Dimensional Grouping for Ultra-High Energy Efficiency in Spiking Transformer
by: Hao, Zecheng, et al.
Published: (2026)

SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection
by: Paek, Dong-Hee, et al.
Published: (2025)

TPC-ViT: Token Propagation Controller for Efficient Vision Transformer
by: Zhu, Wentao
Published: (2024)

SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization
by: Zhang, Jintao, et al.
Published: (2024)

NeuRN: Neuro-inspired Domain Generalization for Image Classification
by: Jalil, Hamd, et al.
Published: (2025)

Mice to Machines: Neural Representations from Visual Cortex for Domain Generalization
by: Qazi, Ahmed, et al.
Published: (2025)

Concept Probing: Where to Find Human-Defined Concepts (Extended Version)
by: Ribeiro, Manuel de Sousa, et al.
Published: (2025)

The Platonic Representation Hypothesis
by: Huh, Minyoung, et al.
Published: (2024)

Neuromimetic metaplasticity for adaptive continual learning
by: Cho, Suhee, et al.
Published: (2024)