From Universal Approximation Theorem to Tropical Geometry of Multi-Layer Perceptrons
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Chu, Yi-Shan, Kuo, Yueh-Cheng |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Universal Approximation Theorem for a Single-Layer Transformer
par: Gumaan, Esmail
Publié: (2025)
par: Gumaan, Esmail
Publié: (2025)
Universal Approximation Theorem of Deep Q-Networks
par: Qi, Qian
Publié: (2025)
par: Qi, Qian
Publié: (2025)
Universal Approximation Theorem for Deep Q-Learning via FBSDE System
par: Qi, Qian
Publié: (2025)
par: Qi, Qian
Publié: (2025)
More Consideration for the Perceptron
par: Larabi, Slimane
Publié: (2024)
par: Larabi, Slimane
Publié: (2024)
Detection and Forecasting of Parkinson Disease Progression from Speech Signal Features Using MultiLayer Perceptron and LSTM
par: Ali, Majid, et autres
Publié: (2024)
par: Ali, Majid, et autres
Publié: (2024)
Optimizing Genetic Algorithms with Multilayer Perceptron Networks for Enhancing TinyFace Recognition
par: Al-Batah, Mohammad Subhi, et autres
Publié: (2025)
par: Al-Batah, Mohammad Subhi, et autres
Publié: (2025)
[Experiments & Analysis] Evaluating the Feasibility of Sampling-Based Techniques for Training Multilayer Perceptrons
par: Ebrahimi, Sana, et autres
Publié: (2023)
par: Ebrahimi, Sana, et autres
Publié: (2023)
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems
par: Wang, Yuan-Heng, et autres
Publié: (2023)
par: Wang, Yuan-Heng, et autres
Publié: (2023)
Universal Approximation Theorem for Input-Connected Multilayer Perceptrons
par: Ismailov, Vugar
Publié: (2026)
par: Ismailov, Vugar
Publié: (2026)
Universal Approximation with Softmax Attention
par: Hu, Jerry Yao-Chieh, et autres
Publié: (2025)
par: Hu, Jerry Yao-Chieh, et autres
Publié: (2025)
Towards Interpretable Physical-Conceptual Catchment-Scale Hydrological Modeling using the Mass-Conserving-Perceptron
par: Wang, Yuan-Heng, et autres
Publié: (2024)
par: Wang, Yuan-Heng, et autres
Publié: (2024)
Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time
par: Liang, Yingyu, et autres
Publié: (2024)
par: Liang, Yingyu, et autres
Publié: (2024)
Peptidomic-Based Prediction Model for Coronary Heart Disease Using a Multilayer Perceptron Neural Network
par: Celis-Porras, Jesus
Publié: (2025)
par: Celis-Porras, Jesus
Publié: (2025)
Simulation of a Variational Quantum Perceptron using Grover's Algorithm
par: Innan, Nouhaila, et autres
Publié: (2023)
par: Innan, Nouhaila, et autres
Publié: (2023)
SCAN-Edge: Finding MobileNet-speed Hybrid Networks for Diverse Edge Devices via Hardware-Aware Evolutionary Search
par: Chiang, Hung-Yueh, et autres
Publié: (2024)
par: Chiang, Hung-Yueh, et autres
Publié: (2024)
CycloneMAE: A Scalable Multi-Task Learning Model for Global Tropical Cyclone Probabilistic Forecasting
par: Hang, Renlong, et autres
Publié: (2026)
par: Hang, Renlong, et autres
Publié: (2026)
On the Mathematical Impossibility of Safe Universal Approximators
par: Yao, Jasper
Publié: (2025)
par: Yao, Jasper
Publié: (2025)
SGFormer: Single-Layer Graph Transformers with Approximation-Free Linear Complexity
par: Wu, Qitian, et autres
Publié: (2024)
par: Wu, Qitian, et autres
Publié: (2024)
Attention Mechanism, Max-Affine Partition, and Universal Approximation
par: Liu, Hude, et autres
Publié: (2025)
par: Liu, Hude, et autres
Publié: (2025)
Geometry-Lite: Interpretable Safety Probing via Layer-Wise Margin Geometry
par: Sim, Woo Seob, et autres
Publié: (2026)
par: Sim, Woo Seob, et autres
Publié: (2026)
SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints
par: Chu, Ya-Chi, et autres
Publié: (2026)
par: Chu, Ya-Chi, et autres
Publié: (2026)
Quotient Geometry, Effective Curvature, and Implicit Bias in Simple Shallow Neural Networks
par: Dong, Hang-Cheng, et autres
Publié: (2026)
par: Dong, Hang-Cheng, et autres
Publié: (2026)
A General Method for Proving Networks Universal Approximation Property
par: Wang, Wei
Publié: (2025)
par: Wang, Wei
Publié: (2025)
Dynamic Universal Approximation Theory: Foundations for Parallelism in Neural Networks
par: Wang, Wei, et autres
Publié: (2024)
par: Wang, Wei, et autres
Publié: (2024)
Stacked Universal Successor Feature Approximators for Safety in Reinforcement Learning
par: Cannon, Ian, et autres
Publié: (2024)
par: Cannon, Ian, et autres
Publié: (2024)
Categorical Equivariant Deep Learning: Category-Equivariant Neural Networks and Universal Approximation Theorems
par: Maruyama, Yoshihiro
Publié: (2025)
par: Maruyama, Yoshihiro
Publié: (2025)
Gauge-Equivariant Intrinsic Neural Operators for Geometry-Consistent Learning of Elliptic PDE Maps
par: Cheng, Pengcheng
Publié: (2026)
par: Cheng, Pengcheng
Publié: (2026)
Training Agents to Self-Report Misbehavior
par: Lee, Bruce W., et autres
Publié: (2026)
par: Lee, Bruce W., et autres
Publié: (2026)
HardNet: Hard-Constrained Neural Networks with Universal Approximation Guarantees
par: Min, Youngjae, et autres
Publié: (2024)
par: Min, Youngjae, et autres
Publié: (2024)
Perceptron Collaborative Filtering
par: Chakraborty, Arya
Publié: (2024)
par: Chakraborty, Arya
Publié: (2024)
Towards Differentially Private Reinforcement Learning with General Function Approximation
par: He, Yi, et autres
Publié: (2026)
par: He, Yi, et autres
Publié: (2026)
IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation
par: Yan, Hanting, et autres
Publié: (2025)
par: Yan, Hanting, et autres
Publié: (2025)
Dual-Branched Spatio-temporal Fusion Network for Multi-horizon Tropical Cyclone Track Forecast
par: Liu, Zili, et autres
Publié: (2022)
par: Liu, Zili, et autres
Publié: (2022)
Generative Urban Flow Modeling: From Geometry to Airflow with Graph Diffusion
par: Giral, Francisco, et autres
Publié: (2025)
par: Giral, Francisco, et autres
Publié: (2025)
Transformer Approximations from ReLUs
par: Hu, Jerry Yao-Chieh, et autres
Publié: (2026)
par: Hu, Jerry Yao-Chieh, et autres
Publié: (2026)
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning
par: Kim, Jongwoo, et autres
Publié: (2024)
par: Kim, Jongwoo, et autres
Publié: (2024)
How Fast Should a Model Commit to Supervision? Training Reasoning Models on the Tsallis Loss Continuum
par: Lin, Chu-Cheng, et autres
Publié: (2026)
par: Lin, Chu-Cheng, et autres
Publié: (2026)
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
par: Chu, Yun-Wei, et autres
Publié: (2022)
par: Chu, Yun-Wei, et autres
Publié: (2022)
Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving
par: Huang, Jianing, et autres
Publié: (2025)
par: Huang, Jianing, et autres
Publié: (2025)
DLGAN : Time Series Synthesis Based on Dual-Layer Generative Adversarial Networks
par: Hou, Xuan, et autres
Publié: (2025)
par: Hou, Xuan, et autres
Publié: (2025)
Documents similaires
-
Universal Approximation Theorem for a Single-Layer Transformer
par: Gumaan, Esmail
Publié: (2025) -
Universal Approximation Theorem of Deep Q-Networks
par: Qi, Qian
Publié: (2025) -
Universal Approximation Theorem for Deep Q-Learning via FBSDE System
par: Qi, Qian
Publié: (2025) -
More Consideration for the Perceptron
par: Larabi, Slimane
Publié: (2024) -
Detection and Forecasting of Parkinson Disease Progression from Speech Signal Features Using MultiLayer Perceptron and LSTM
par: Ali, Majid, et autres
Publié: (2024)