Efficient Combinatorial Optimization via Heat Diffusion
Fuente:
arXiv
Saved in:
| Main Authors: | Ma, Hengyuan, Lu, Wenlian, Feng, Jianfeng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncertainty Quantification in Working Memory via Moment Neural Networks
by: Ma, Hengyuan, et al.
Published: (2024)
by: Ma, Hengyuan, et al.
Published: (2024)
Implicit Binarization via Complex Phase Dynamics in Combinatorial Optimization
by: Cohen, Khen, et al.
Published: (2026)
by: Cohen, Khen, et al.
Published: (2026)
Stochastic Forward-Forward Learning through Representational Dimensionality Compression
by: Zhu, Zhichao, et al.
Published: (2025)
by: Zhu, Zhichao, et al.
Published: (2025)
Probabilistic computation and uncertainty quantification with emerging covariance
by: Ma, Hengyuan, et al.
Published: (2023)
by: Ma, Hengyuan, et al.
Published: (2023)
Bubble2Heat: Optical to Thermal Inference in Pool Boiling Using Physics-encoded Generative AI
by: Fu, Qianxi, et al.
Published: (2025)
by: Fu, Qianxi, et al.
Published: (2025)
Characterization of Locality in Spin States and Forced Moves for Optimizations
by: Sato, Yoshiki, et al.
Published: (2023)
by: Sato, Yoshiki, et al.
Published: (2023)
MeshODENet: A Graph-Informed Neural Ordinary Differential Equation Neural Network for Simulating Mesh-Based Physical Systems
by: Liu, Kangzheng, et al.
Published: (2025)
by: Liu, Kangzheng, et al.
Published: (2025)
Heating Up Quasi-Monte Carlo Graph Random Features: A Diffusion Kernel Perspective
by: Feinberg, Brooke, et al.
Published: (2024)
by: Feinberg, Brooke, et al.
Published: (2024)
Towards a General Framework for Predicting and Explaining the Hardness of Graph-based Combinatorial Optimization Problems using Machine Learning and Association Rule Mining
by: Sharman, Bharat, et al.
Published: (2025)
by: Sharman, Bharat, et al.
Published: (2025)
Diffusion-Based Electromagnetic Inverse Design of Scattering Structured Media
by: Tsukerman, Mikhail, et al.
Published: (2025)
by: Tsukerman, Mikhail, et al.
Published: (2025)
A rapid approach to urban traffic noise mapping with a generative adversarial network
by: Yang, Xinhao, et al.
Published: (2024)
by: Yang, Xinhao, et al.
Published: (2024)
Adaptive Fusion Graph Network for 3D Strain Field Prediction in Solid Rocket Motor Grains
by: Huang, Jiada, et al.
Published: (2025)
by: Huang, Jiada, et al.
Published: (2025)
Acoustic Structure Inverse Design and Optimization Using Deep Learning
by: Sun, Xuecong, et al.
Published: (2021)
by: Sun, Xuecong, et al.
Published: (2021)
Optimal Data Generation in Multi-Dimensional Parameter Spaces, using Bayesian Optimization
by: Mahani, M. R., et al.
Published: (2023)
by: Mahani, M. R., et al.
Published: (2023)
TunnElQNN: A Hybrid Quantum-classical Neural Network for Efficient Learning
by: Abbas, A. H.
Published: (2025)
by: Abbas, A. H.
Published: (2025)
FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition
by: Ramezankhani, Milad, et al.
Published: (2024)
by: Ramezankhani, Milad, et al.
Published: (2024)
Advancing Machine Learning Optimization of Chiral Photonic Metasurface: Comparative Study of Neural Network and Genetic Algorithm Approaches
by: Filippozzi, Davide, et al.
Published: (2025)
by: Filippozzi, Davide, et al.
Published: (2025)
Experimental Machine Learning with Classical and Quantum Data via NMR Quantum Kernels
by: Sabarad, Vivek, et al.
Published: (2024)
by: Sabarad, Vivek, et al.
Published: (2024)
Combinatorial optimization of the coefficient of determination
by: Harary, Marc
Published: (2024)
by: Harary, Marc
Published: (2024)
Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms
by: Hashemi, Baran, et al.
Published: (2025)
by: Hashemi, Baran, et al.
Published: (2025)
Material-Agnostic Zero-Shot Thermal Inference for Metal Additive Manufacturing via a Parametric PINN Framework
by: Lee, Hyeonsu, et al.
Published: (2026)
by: Lee, Hyeonsu, et al.
Published: (2026)
Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade
by: Yi, Letian, et al.
Published: (2025)
by: Yi, Letian, et al.
Published: (2025)
Physics-Informed Machine Learning for Efficient Reconfigurable Intelligent Surface Design
by: Zhang, Zhen, et al.
Published: (2025)
by: Zhang, Zhen, et al.
Published: (2025)
Pentagonal Photonic Crystal Mirrors: Scalable Lightsails with Enhanced Acceleration via Neural Topology Optimization
by: Norder, L., et al.
Published: (2024)
by: Norder, L., et al.
Published: (2024)
Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hulls
by: Vardhan, Harsh, et al.
Published: (2023)
by: Vardhan, Harsh, et al.
Published: (2023)
Intelligent Optimization and Machine Learning Algorithms for Structural Anomaly Detection using Seismic Signals
by: Trapp, Maximilian, et al.
Published: (2024)
by: Trapp, Maximilian, et al.
Published: (2024)
On a Combinatorial Problem Arising in Machine Teaching
by: Håvardstun, Brigt, et al.
Published: (2024)
by: Håvardstun, Brigt, et al.
Published: (2024)
Quasicrystal Architected Nanomechanical Resonators via Data-Driven Design
by: Li, Kawen, et al.
Published: (2026)
by: Li, Kawen, et al.
Published: (2026)
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials
by: Yuan, Lingxiao, et al.
Published: (2024)
by: Yuan, Lingxiao, et al.
Published: (2024)
Training all-mechanical neural networks for task learning through in situ backpropagation
by: Li, Shuaifeng, et al.
Published: (2024)
by: Li, Shuaifeng, et al.
Published: (2024)
Physics-Informed Machine Learning for Seismic Response Prediction OF Nonlinear Steel Moment Resisting Frame Structures
by: Bond, R. Bailey, et al.
Published: (2024)
by: Bond, R. Bailey, et al.
Published: (2024)
Phononic materials with effectively scale-separated hierarchical features using interpretable machine learning
by: Bastawrous, Mary V., et al.
Published: (2024)
by: Bastawrous, Mary V., et al.
Published: (2024)
Machine Learning-Assisted Thermoelectric Cooling for On-Demand Multi-Hotspot Thermal Management
by: Luo, Jiajian, et al.
Published: (2024)
by: Luo, Jiajian, et al.
Published: (2024)
Constructing artificial life and materials scientists with accelerated AI using Deep AndersoNN
by: Dajani, Saleem Abdul Fattah Ahmed Al, et al.
Published: (2024)
by: Dajani, Saleem Abdul Fattah Ahmed Al, et al.
Published: (2024)
Training of Physical Neural Networks
by: Momeni, Ali, et al.
Published: (2024)
by: Momeni, Ali, et al.
Published: (2024)
Enhancing Multistep Prediction of Multivariate Market Indices Using Weighted Optical Reservoir Computing
by: Wang, Fang, et al.
Published: (2024)
by: Wang, Fang, et al.
Published: (2024)
Deep learning for the design of non-Hermitian topolectrical circuits
by: Chen, Xi, et al.
Published: (2024)
by: Chen, Xi, et al.
Published: (2024)
Empirical modeling and hybrid machine learning framework for nucleate pool boiling on microchannel structured surfaces
by: Kuberan, Vijay, et al.
Published: (2025)
by: Kuberan, Vijay, et al.
Published: (2025)
A Physics-informed Deep Operator for Real-Time Freeway Traffic State Estimation
by: Yu, Hongxin, et al.
Published: (2025)
by: Yu, Hongxin, et al.
Published: (2025)
Uncertainty Reasoning with Photonic Bayesian Machines
by: Brückerhoff-Plückelmann, F., et al.
Published: (2025)
by: Brückerhoff-Plückelmann, F., et al.
Published: (2025)
Similar Items
-
Uncertainty Quantification in Working Memory via Moment Neural Networks
by: Ma, Hengyuan, et al.
Published: (2024) -
Implicit Binarization via Complex Phase Dynamics in Combinatorial Optimization
by: Cohen, Khen, et al.
Published: (2026) -
Stochastic Forward-Forward Learning through Representational Dimensionality Compression
by: Zhu, Zhichao, et al.
Published: (2025) -
Probabilistic computation and uncertainty quantification with emerging covariance
by: Ma, Hengyuan, et al.
Published: (2023) -
Bubble2Heat: Optical to Thermal Inference in Pool Boiling Using Physics-encoded Generative AI
by: Fu, Qianxi, et al.
Published: (2025)