Integrating Symbolic Neural Networks with Building Physics: A Study and Proposal
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Chen, Xia, Lv, Guoquan, Zhuang, Xinwei, Duarte, Carlos, Schiavon, Stefano, Geyer, Philipp |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
From 'What-is' to 'What-if' in Human-Factor Analysis: A Post-Occupancy Evaluation Case
par: Chen, Xia, et autres
Publié: (2025)
par: Chen, Xia, et autres
Publié: (2025)
Symbolic Branch Networks: Tree-Inherited Neural Models for Interpretable Multiclass Classification
par: Rodríguez-Salas, Dalia
Publié: (2025)
par: Rodríguez-Salas, Dalia
Publié: (2025)
Large Language Model Meets Graph Neural Network in Knowledge Distillation
par: Hu, Shengxiang, et autres
Publié: (2024)
par: Hu, Shengxiang, et autres
Publié: (2024)
Conceptual Views of Neural Networks: A Framework for Neuro-Symbolic Analysis
par: Hirth, Johannes, et autres
Publié: (2022)
par: Hirth, Johannes, et autres
Publié: (2022)
Developing a Foundation of Vector Symbolic Architectures Using Category Theory
par: Shaw, Nolan P, et autres
Publié: (2025)
par: Shaw, Nolan P, et autres
Publié: (2025)
Graph Neural Networks for Brain Graph Learning: A Survey
par: Luo, Xuexiong, et autres
Publié: (2024)
par: Luo, Xuexiong, et autres
Publié: (2024)
Neural Networks Trained by Weight Permutation are Universal Approximators
par: Cai, Yongqiang, et autres
Publié: (2024)
par: Cai, Yongqiang, et autres
Publié: (2024)
Customizing Graph Neural Networks using Path Reweighting
par: Chen, Jianpeng, et autres
Publié: (2021)
par: Chen, Jianpeng, et autres
Publié: (2021)
An Analysis of Optimizer Choice on Energy Efficiency and Performance in Neural Network Training
par: Almog, Tom
Publié: (2025)
par: Almog, Tom
Publié: (2025)
Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks
par: Yang, Shangshang, et autres
Publié: (2024)
par: Yang, Shangshang, et autres
Publié: (2024)
Structural Correspondence and Universal Approximation in Diagonal plus Low-Rank Neural Networks
par: Chen, Ying, et autres
Publié: (2026)
par: Chen, Ying, et autres
Publié: (2026)
Lessons on Datasets and Paradigms in Machine Learning for Symbolic Computation: A Case Study on CAD
par: del Río, Tereso, et autres
Publié: (2024)
par: del Río, Tereso, et autres
Publié: (2024)
Symbolic recovery of PDEs from measurement data
par: Morina, Erion, et autres
Publié: (2026)
par: Morina, Erion, et autres
Publié: (2026)
The more the merrier: logical and multistage processors in credit scoring
par: Pérez-Peralta, Arturo, et autres
Publié: (2025)
par: Pérez-Peralta, Arturo, et autres
Publié: (2025)
Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens
par: Ott, Felix, et autres
Publié: (2022)
par: Ott, Felix, et autres
Publié: (2022)
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders
par: Glushkovsky, Alex
Publié: (2020)
par: Glushkovsky, Alex
Publié: (2020)
Semantic-Preserving Feature Partitioning for Multi-View Ensemble Learning
par: Khorshidi, Mohammad Sadegh, et autres
Publié: (2024)
par: Khorshidi, Mohammad Sadegh, et autres
Publié: (2024)
Architecture-Induced Recoverability Bias in Differentiable Symbolic Regression
par: Gupta, Chakshu, et autres
Publié: (2026)
par: Gupta, Chakshu, et autres
Publié: (2026)
Residual Multi-Fidelity Neural Network Computing
par: Davis, Owen, et autres
Publié: (2023)
par: Davis, Owen, et autres
Publié: (2023)
Complex Diffusion Maps with $ω$-Parameterized Kernels Revealing Inherent Harmonic Representations
par: Dang, Tongzhen, et autres
Publié: (2026)
par: Dang, Tongzhen, et autres
Publié: (2026)
Efficient Graph Coloring with Neural Networks: A Physics-Inspired Approach for Large Graphs
par: Colantonio, Lorenzo, et autres
Publié: (2024)
par: Colantonio, Lorenzo, et autres
Publié: (2024)
Uniform Approximation with Quadratic Neural Networks
par: Abdeljawad, Ahmed
Publié: (2022)
par: Abdeljawad, Ahmed
Publié: (2022)
Scalable LinUCB: Low-Rank Design Matrix Updates for Recommenders with Large Action Spaces
par: Shustova, Evgenia, et autres
Publié: (2025)
par: Shustova, Evgenia, et autres
Publié: (2025)
Embedding Dimension Lower Bounds for Universality of Deep Sets and Janossy Pooling
par: Syed, Ali, et autres
Publié: (2026)
par: Syed, Ali, et autres
Publié: (2026)
Perfectly-Private Analog Secure Aggregation in Federated Learning
par: Jaramillo-Velez, Delio, et autres
Publié: (2025)
par: Jaramillo-Velez, Delio, et autres
Publié: (2025)
Learning Flame Evolution Operator under Hybrid Darrieus Landau and Diffusive Thermal Instability
par: Yu, Rixin, et autres
Publié: (2024)
par: Yu, Rixin, et autres
Publié: (2024)
Learn and Verify: A Framework for Rigorous Verification of Physics-Informed Neural Networks
par: Tanaka, Kazuaki, et autres
Publié: (2026)
par: Tanaka, Kazuaki, et autres
Publié: (2026)
A mathematical certification for positivity conditions in Neural Networks with applications to partial monotonicity and Trustworthy AI
par: Polo-Molina, Alejandro, et autres
Publié: (2024)
par: Polo-Molina, Alejandro, et autres
Publié: (2024)
Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning
par: Collins, John
Publié: (2025)
par: Collins, John
Publié: (2025)
Don't Forget Imagination!
par: Vityaev, Evgenii E., et autres
Publié: (2025)
par: Vityaev, Evgenii E., et autres
Publié: (2025)
Predicting Traffic Accident Severity with Deep Neural Networks
par: Bibb, Meghan, et autres
Publié: (2025)
par: Bibb, Meghan, et autres
Publié: (2025)
BRIDGE: Building Representations In Domain Guided Program Synthesis
par: George, Robert Joseph, et autres
Publié: (2025)
par: George, Robert Joseph, et autres
Publié: (2025)
Explainable AI Insights for Symbolic Computation: A case study on selecting the variable ordering for cylindrical algebraic decomposition
par: Pickering, Lynn, et autres
Publié: (2023)
par: Pickering, Lynn, et autres
Publié: (2023)
Physics-Informed Neural Networks and Neural Operators for Parametric PDEs
par: Zhang, Zhuo, et autres
Publié: (2025)
par: Zhang, Zhuo, et autres
Publié: (2025)
Constrained Neural Networks for Interpretable Heuristic Creation to Optimise Computer Algebra Systems
par: Florescu, Dorian, et autres
Publié: (2024)
par: Florescu, Dorian, et autres
Publié: (2024)
Predicting COVID-19 Prevalence Using Wastewater RNA Surveillance: A Semi-Supervised Learning Approach with Temporal Feature Trust
par: Chen, Yifei, et autres
Publié: (2025)
par: Chen, Yifei, et autres
Publié: (2025)
Knowledge Integration in Differentiable Models: A Comparative Study of Data-Driven, Soft-Constrained, and Hard-Constrained Paradigms for Identification and Control of the Single Machine Infinite Bus System
par: Kang, Shinhoo, et autres
Publié: (2026)
par: Kang, Shinhoo, et autres
Publié: (2026)
Global Optimization with A Power-Transformed Objective and Gaussian Smoothing
par: Xu, Chen
Publié: (2024)
par: Xu, Chen
Publié: (2024)
MSMixer: Learned Multi-Scale Temporal Mixing with Complementary Linear Shortcut for Long-Term Time Series Forecasting
par: Cherif, Ahmed
Publié: (2026)
par: Cherif, Ahmed
Publié: (2026)
Answer Set Networks: Casting Answer Set Programming into Deep Learning
par: Skryagin, Arseny, et autres
Publié: (2024)
par: Skryagin, Arseny, et autres
Publié: (2024)
Documents similaires
-
From 'What-is' to 'What-if' in Human-Factor Analysis: A Post-Occupancy Evaluation Case
par: Chen, Xia, et autres
Publié: (2025) -
Symbolic Branch Networks: Tree-Inherited Neural Models for Interpretable Multiclass Classification
par: Rodríguez-Salas, Dalia
Publié: (2025) -
Large Language Model Meets Graph Neural Network in Knowledge Distillation
par: Hu, Shengxiang, et autres
Publié: (2024) -
Conceptual Views of Neural Networks: A Framework for Neuro-Symbolic Analysis
par: Hirth, Johannes, et autres
Publié: (2022) -
Developing a Foundation of Vector Symbolic Architectures Using Category Theory
par: Shaw, Nolan P, et autres
Publié: (2025)