Optimizing Neural Network Performance and Interpretability with Diophantine Equation Encoding
Fuente:
arXiv
Guardado en:
| Autor principal: | Katende, Ronald |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Cross-Country Comparative Analysis of Climate Resilience and Localized Mapping in Data-Sparse Regions
por: Katende, Ronald
Publicado: (2024)
por: Katende, Ronald
Publicado: (2024)
Positional Encoding Helps Recurrent Neural Networks Handle a Large Vocabulary
por: Morita, Takashi
Publicado: (2024)
por: Morita, Takashi
Publicado: (2024)
Learnable Activation Functions in Physics-Informed Neural Networks for Solving Partial Differential Equations
por: Farea, Afrah, et al.
Publicado: (2024)
por: Farea, Afrah, et al.
Publicado: (2024)
Fuzzy Encoding-Decoding to Improve Spiking Q-Learning Performance in Autonomous Driving
por: Ghoreishee, Aref, et al.
Publicado: (2026)
por: Ghoreishee, Aref, et al.
Publicado: (2026)
Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation
por: Zhang, Bo, et al.
Publicado: (2024)
por: Zhang, Bo, et al.
Publicado: (2024)
Set-based Neural Network Encoding Without Weight Tying
por: Andreis, Bruno, et al.
Publicado: (2023)
por: Andreis, Bruno, et al.
Publicado: (2023)
Classifying States of the Hopfield Network with Improved Accuracy, Generalization, and Interpretability
por: McAlister, Hayden, et al.
Publicado: (2025)
por: McAlister, Hayden, et al.
Publicado: (2025)
Cyclic Neural Network
por: Yang, Liangwei, et al.
Publicado: (2024)
por: Yang, Liangwei, et al.
Publicado: (2024)
Airborne Neural Network
por: Ranjan, Paritosh, et al.
Publicado: (2025)
por: Ranjan, Paritosh, et al.
Publicado: (2025)
Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning
por: Chen, Jiacheng, et al.
Publicado: (2024)
por: Chen, Jiacheng, 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)
Understanding Vector-Valued Neural Networks and Their Relationship with Real and Hypercomplex-Valued Neural Networks
por: Valle, Marcos Eduardo
Publicado: (2023)
por: Valle, Marcos Eduardo
Publicado: (2023)
Input Invex Neural Network
por: Sapkota, Suman, et al.
Publicado: (2021)
por: Sapkota, Suman, et al.
Publicado: (2021)
Physics-Modeled Neural Networks
por: Felipe-Sosa, Raul, et al.
Publicado: (2026)
por: Felipe-Sosa, Raul, et al.
Publicado: (2026)
Morephy-Net: An Evolutionary Multi-objective Optimization for Replica-Exchange-based Physics-informed Neural Operator Learning Networks
por: Lu, Binghang, et al.
Publicado: (2025)
por: Lu, Binghang, et al.
Publicado: (2025)
Rethinking Recurrent Neural Networks for Time Series Forecasting: A Reinforced Recurrent Encoder with Prediction-Oriented Proximal Policy Optimization
por: Lai, Xin, et al.
Publicado: (2026)
por: Lai, Xin, et al.
Publicado: (2026)
Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
por: Booysen, Reinhard, et al.
Publicado: (2024)
por: Booysen, Reinhard, et al.
Publicado: (2024)
Extensional Properties of Recurrent Neural Networks
por: Dantsin, Evgeny, et al.
Publicado: (2024)
por: Dantsin, Evgeny, et al.
Publicado: (2024)
SNNAX -- Spiking Neural Networks in JAX
por: Lohoff, Jamie, et al.
Publicado: (2024)
por: Lohoff, Jamie, et al.
Publicado: (2024)
Self-Supervised Neural Architecture Search for Multimodal Deep Neural Networks
por: Suzuki, Shota, et al.
Publicado: (2025)
por: Suzuki, Shota, et al.
Publicado: (2025)
ChronoPlastic Spiking Neural Networks
por: Chaudhry, Sarim
Publicado: (2025)
por: Chaudhry, Sarim
Publicado: (2025)
Deep Pulse-Coupled Neural Networks
por: Yi, Zexiang, et al.
Publicado: (2023)
por: Yi, Zexiang, et al.
Publicado: (2023)
Multi Part Deployment of Neural Network
por: Ranjan, Paritosh, et al.
Publicado: (2025)
por: Ranjan, Paritosh, et al.
Publicado: (2025)
Enabling Population-Based Architectures for Neural Combinatorial Optimization
por: Garmendia, Andoni Irazusta, et al.
Publicado: (2026)
por: Garmendia, Andoni Irazusta, et al.
Publicado: (2026)
Exploiting Chaotic Dynamics as Deep Neural Networks
por: Liu, Shuhong, et al.
Publicado: (2024)
por: Liu, Shuhong, et al.
Publicado: (2024)
E(n) Equivariant Topological Neural Networks
por: Battiloro, Claudio, et al.
Publicado: (2024)
por: Battiloro, Claudio, et al.
Publicado: (2024)
The Role of Temporal Hierarchy in Spiking Neural Networks
por: Moro, Filippo, et al.
Publicado: (2024)
por: Moro, Filippo, et al.
Publicado: (2024)
Topology-Aware Activation Functions in Neural Networks
por: Snopov, Pavel, et al.
Publicado: (2025)
por: Snopov, Pavel, et al.
Publicado: (2025)
Probabilistically Rewired Message-Passing Neural Networks
por: Qian, Chendi, et al.
Publicado: (2023)
por: Qian, Chendi, et al.
Publicado: (2023)
Learning Long Sequences in Spiking Neural Networks
por: Stan, Matei Ioan, et al.
Publicado: (2023)
por: Stan, Matei Ioan, et al.
Publicado: (2023)
On Space Folds of ReLU Neural Networks
por: Lewandowski, Michal, et al.
Publicado: (2025)
por: Lewandowski, Michal, et al.
Publicado: (2025)
The Evolution of Learning Algorithms for Artificial Neural Networks
por: Baxter, Jonathan
Publicado: (2025)
por: Baxter, Jonathan
Publicado: (2025)
Switch-Based Multi-Part Neural Network
por: Majumder, Surajit, et al.
Publicado: (2025)
por: Majumder, Surajit, et al.
Publicado: (2025)
On the Universal Representation Property of Spiking Neural Networks
por: Hundrieser, Shayan, et al.
Publicado: (2025)
por: Hundrieser, Shayan, et al.
Publicado: (2025)
Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization
por: Ma, Zeyuan, et al.
Publicado: (2024)
por: Ma, Zeyuan, et al.
Publicado: (2024)
Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization
por: Gu, Shengda, et al.
Publicado: (2025)
por: Gu, Shengda, et al.
Publicado: (2025)
Neural Interpretable Reasoning
por: Barbiero, Pietro, et al.
Publicado: (2025)
por: Barbiero, Pietro, et al.
Publicado: (2025)
Scaling Equilibrium Propagation to Deeper Neural Network Architectures
por: Elayedam, Sankar Vinayak, et al.
Publicado: (2025)
por: Elayedam, Sankar Vinayak, et al.
Publicado: (2025)
Sharpness Aware Surrogate Training for Spiking Neural Networks
por: Nicholson, Maximilian
Publicado: (2026)
por: Nicholson, Maximilian
Publicado: (2026)
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)
Ejemplares similares
-
Cross-Country Comparative Analysis of Climate Resilience and Localized Mapping in Data-Sparse Regions
por: Katende, Ronald
Publicado: (2024) -
Positional Encoding Helps Recurrent Neural Networks Handle a Large Vocabulary
por: Morita, Takashi
Publicado: (2024) -
Learnable Activation Functions in Physics-Informed Neural Networks for Solving Partial Differential Equations
por: Farea, Afrah, et al.
Publicado: (2024) -
Fuzzy Encoding-Decoding to Improve Spiking Q-Learning Performance in Autonomous Driving
por: Ghoreishee, Aref, et al.
Publicado: (2026) -
Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation
por: Zhang, Bo, et al.
Publicado: (2024)