Guardado en:
| Autores principales: | Duan, Yongjie, Calhoun, Vince D., Long, Zhiying |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2406.16619 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help
por: Han, Keqi, et al.
Publicado: (2025)
por: Han, Keqi, et al.
Publicado: (2025)
A Neural Network Training Method Based on Neuron Connection Coefficient Adjustments
por: Jiang, Kun
Publicado: (2025)
por: Jiang, Kun
Publicado: (2025)
Univariate Radial Basis Function Layers: Brain-inspired Deep Neural Layers for Low-Dimensional Inputs
por: Jost, Daniel, et al.
Publicado: (2023)
por: Jost, Daniel, et al.
Publicado: (2023)
Brain-Inspired Spike Echo State Network Dynamics for Aero-Engine Intelligent Fault Prediction
por: Liu, Mo-Ran, et al.
Publicado: (2024)
por: Liu, Mo-Ran, et al.
Publicado: (2024)
Minimal Convolutional RNNs Accelerate Spatiotemporal Learning
por: Horuz, Coşku Can, et al.
Publicado: (2025)
por: Horuz, Coşku Can, et al.
Publicado: (2025)
Reservoir Computing via Multi-Scale Random Fourier Features for Forecasting Fast-Slow Dynamical Systems
por: Laha, S. K.
Publicado: (2025)
por: Laha, S. K.
Publicado: (2025)
Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions
por: Rane, Chinmay, et al.
Publicado: (2023)
por: Rane, Chinmay, et al.
Publicado: (2023)
CHNNet: An Artificial Neural Network With Connected Hidden Neurons
por: Shahir, Rafiad Sadat, et al.
Publicado: (2023)
por: Shahir, Rafiad Sadat, et al.
Publicado: (2023)
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
por: Younesi, Abolfazl, et al.
Publicado: (2024)
por: Younesi, Abolfazl, et al.
Publicado: (2024)
Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model
por: Neshat, Mehdi, et al.
Publicado: (2024)
por: Neshat, Mehdi, et al.
Publicado: (2024)
Heterogeneous Connectivity in Sparse Networks: Fan-in Profiles, Gradient Hierarchy, and Topological Equilibria
por: Tomczak, Nikodem
Publicado: (2026)
por: Tomczak, Nikodem
Publicado: (2026)
Structure as Computation: Developmental Generation of Minimal Neural Circuits
por: Zhou, Duan
Publicado: (2026)
por: Zhou, Duan
Publicado: (2026)
On the Power of Convolution Augmented Transformer
por: Li, Mingchen, et al.
Publicado: (2024)
por: Li, Mingchen, et al.
Publicado: (2024)
Boosting Reservoir Computing with Brain-inspired Adaptive Dynamics
por: Srinivasan, Keshav, et al.
Publicado: (2025)
por: Srinivasan, Keshav, et al.
Publicado: (2025)
Generative Design of Functional Metal Complexes Utilizing the Internal Knowledge of Large Language Models
por: Lu, Jieyu, et al.
Publicado: (2024)
por: Lu, Jieyu, et al.
Publicado: (2024)
Spiking Neural Networks with Random Network Architecture
por: Dai, Zihan, et al.
Publicado: (2025)
por: Dai, Zihan, et al.
Publicado: (2025)
Explicit and Non-asymptotic Query Complexities of Rank-Based Zeroth-order Algorithms on Smooth Functions
por: Ye, Haishan
Publicado: (2025)
por: Ye, Haishan
Publicado: (2025)
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes
por: Yazdani, Danial, et al.
Publicado: (2024)
por: Yazdani, Danial, et al.
Publicado: (2024)
Repair Brain Damage: Real-Numbered Error Correction Code for Neural Network
por: Li, Ziqing, et al.
Publicado: (2026)
por: Li, Ziqing, et al.
Publicado: (2026)
Spiking Brain Compression: Post-Training Second-order Compression for Spiking Neural Networks
por: Shi, Lianfeng, et al.
Publicado: (2025)
por: Shi, Lianfeng, et al.
Publicado: (2025)
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data
por: Antoniades, Antonis, et al.
Publicado: (2023)
por: Antoniades, Antonis, et al.
Publicado: (2023)
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport
por: Cheon, Jeonghwan, et al.
Publicado: (2024)
por: Cheon, Jeonghwan, et al.
Publicado: (2024)
Boosting Brain-inspired Path Integration Efficiency via Learning-based Replication of Continuous Attractor Neurodynamics
por: Ge, Zhangyu, et al.
Publicado: (2025)
por: Ge, Zhangyu, et al.
Publicado: (2025)
XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks
por: Sun, Jian, et al.
Publicado: (2021)
por: Sun, Jian, et al.
Publicado: (2021)
RsGCN: Subgraph-Based Rescaling Enhances Generalization of GCNs for Solving Traveling Salesman Problems
por: Huang, Junquan, et al.
Publicado: (2025)
por: Huang, Junquan, et al.
Publicado: (2025)
Deriving Activation Functions Using Integration
por: Huang, Allen Hao, et al.
Publicado: (2024)
por: Huang, Allen Hao, et al.
Publicado: (2024)
Automated Design of Metaheuristic Algorithms: A Survey
por: Zhao, Qi, et al.
Publicado: (2023)
por: Zhao, Qi, et al.
Publicado: (2023)
BrainTransformers: SNN-LLM
por: Tang, Zhengzheng, et al.
Publicado: (2024)
por: Tang, Zhengzheng, et al.
Publicado: (2024)
Brain-Inspired Online Adaptation for Remote Sensing with Spiking Neural Network
por: Duan, Dexin, et al.
Publicado: (2024)
por: Duan, Dexin, et al.
Publicado: (2024)
Expanded Gating Ranges Improve Activation Functions
por: Huang, Allen Hao
Publicado: (2024)
por: Huang, Allen Hao
Publicado: (2024)
Topology-Aware Activation Functions in Neural Networks
por: Snopov, Pavel, et al.
Publicado: (2025)
por: Snopov, Pavel, et al.
Publicado: (2025)
Effective Regularization Through Loss-Function Metalearning
por: Gonzalez, Santiago, et al.
Publicado: (2020)
por: Gonzalez, Santiago, et al.
Publicado: (2020)
Sharpness-Aware Minimization and the Edge of Stability
por: Long, Philip M., et al.
Publicado: (2023)
por: Long, Philip M., et al.
Publicado: (2023)
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
por: Nguyen, Minh-Duc, et al.
Publicado: (2024)
por: Nguyen, Minh-Duc, et al.
Publicado: (2024)
Automated Metaheuristic Algorithm Design with Autoregressive Learning
por: Zhao, Qi, et al.
Publicado: (2024)
por: Zhao, Qi, et al.
Publicado: (2024)
A Little Rank Goes a Long Way: Random Scaffolds with LoRA Adapters Are All You Need
por: Hazan, Hananel, et al.
Publicado: (2026)
por: Hazan, Hananel, et al.
Publicado: (2026)
Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training
por: Luo, Xiaoling, et al.
Publicado: (2025)
por: Luo, Xiaoling, et al.
Publicado: (2025)
Activation Functions for "A Feedforward Unitary Equivariant Neural Network"
por: Ma, Pui-Wai
Publicado: (2024)
por: Ma, Pui-Wai
Publicado: (2024)
Adaptive Activation Functions for Predictive Modeling with Sparse Experimental Data
por: Pourkamali-Anaraki, Farhad, et al.
Publicado: (2024)
por: Pourkamali-Anaraki, Farhad, et al.
Publicado: (2024)
Closed-Form Test Functions for Biophysical Sequence Optimization Algorithms
por: Stanton, Samuel, et al.
Publicado: (2024)
por: Stanton, Samuel, et al.
Publicado: (2024)
Ejemplares similares
-
Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help
por: Han, Keqi, et al.
Publicado: (2025) -
A Neural Network Training Method Based on Neuron Connection Coefficient Adjustments
por: Jiang, Kun
Publicado: (2025) -
Univariate Radial Basis Function Layers: Brain-inspired Deep Neural Layers for Low-Dimensional Inputs
por: Jost, Daniel, et al.
Publicado: (2023) -
Brain-Inspired Spike Echo State Network Dynamics for Aero-Engine Intelligent Fault Prediction
por: Liu, Mo-Ran, et al.
Publicado: (2024) -
Minimal Convolutional RNNs Accelerate Spatiotemporal Learning
por: Horuz, Coşku Can, et al.
Publicado: (2025)