MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Thang, Nguyen, Dung, Pham, Kha, Tran, Truyen |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation Forecasting
by: Tran, Huyen Ngoc, et al.
Published: (2026)
by: Tran, Huyen Ngoc, et al.
Published: (2026)
Robust SDE Parameter Estimation Under Missing Time Information Setting
by: Van Tran, Long, et al.
Published: (2026)
by: Van Tran, Long, et al.
Published: (2026)
SeqBattNet: A Discrete-State Physics-Informed Neural Network with Aging Adaptation for Battery Modeling
by: Tran, Khoa, et al.
Published: (2025)
by: Tran, Khoa, et al.
Published: (2025)
Revisiting LARS for Large Batch Training Generalization of Neural Networks
by: Do, Khoi, et al.
Published: (2023)
by: Do, Khoi, et al.
Published: (2023)
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications
by: Pham, Nga, et al.
Published: (2024)
by: Pham, Nga, et al.
Published: (2024)
Score-based Integrated Gradient for Root Cause Explanations of Outliers
by: Nguyen, Phuoc, et al.
Published: (2026)
by: Nguyen, Phuoc, et al.
Published: (2026)
Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
by: Nguyen, Huu Hiep, et al.
Published: (2026)
by: Nguyen, Huu Hiep, et al.
Published: (2026)
naPINN: Noise-Adaptive Physics-Informed Neural Networks for Recovering Physics from Corrupted Measurement
by: Kim, Hankyeol, et al.
Published: (2026)
by: Kim, Hankyeol, et al.
Published: (2026)
Epi$^2$-Net: Advancing Epidemic Dynamics Forecasting with Physics-Inspired Neural Networks
by: Sun, Rui, et al.
Published: (2025)
by: Sun, Rui, et al.
Published: (2025)
$PINN - a Domain Decomposition Method for Bayesian Physics-Informed Neural Networks
by: Figueres, Júlia Vicens, et al.
Published: (2025)
by: Figueres, Júlia Vicens, et al.
Published: (2025)
Damper-B-PINN: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Vehicle State Estimation
by: Zeng, Tianyi, et al.
Published: (2025)
by: Zeng, Tianyi, et al.
Published: (2025)
TolerantECG: A Foundation Model for Imperfect Electrocardiogram
by: Nguyen, Huynh Dang, et al.
Published: (2025)
by: Nguyen, Huynh Dang, et al.
Published: (2025)
Improving Epidemic Analyses with Privacy-Preserving Integration of Sensitive Data
by: Guan, Zihan, et al.
Published: (2025)
by: Guan, Zihan, et al.
Published: (2025)
On the Role of Discrete Representation in Sparse Mixture of Experts
by: Do, Giang, et al.
Published: (2024)
by: Do, Giang, et al.
Published: (2024)
Spectral Informed Neural Network: An Efficient and Low-Memory PINN
by: Yu, Tianchi, et al.
Published: (2024)
by: Yu, Tianchi, et al.
Published: (2024)
Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
by: Miranda, Miro, et al.
Published: (2024)
by: Miranda, Miro, et al.
Published: (2024)
A Robust Deep Learning System for Motor Bearing Fault Detection: Leveraging Multiple Learning Strategies and a Novel Double Loss Function
by: Tran, Khoa, et al.
Published: (2023)
by: Tran, Khoa, et al.
Published: (2023)
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting
by: Qiu, Mingjie, et al.
Published: (2023)
by: Qiu, Mingjie, et al.
Published: (2023)
Learning Structural Causal Models from Ordering: Identifiable Flow Models
by: Le, Minh Khoa, et al.
Published: (2024)
by: Le, Minh Khoa, et al.
Published: (2024)
PINN-DT: Optimizing Energy Consumption in Smart Building Using Hybrid Physics-Informed Neural Networks and Digital Twin Framework with Blockchain Security
by: Naeini, Hajar Kazemi, et al.
Published: (2025)
by: Naeini, Hajar Kazemi, et al.
Published: (2025)
Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework
by: He, Xin, et al.
Published: (2025)
by: He, Xin, et al.
Published: (2025)
Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction
by: Chiu, Pao-Hsiung, et al.
Published: (2026)
by: Chiu, Pao-Hsiung, et al.
Published: (2026)
Variational Flow Models: Flowing in Your Style
by: Do, Kien, et al.
Published: (2024)
by: Do, Kien, et al.
Published: (2024)
Tree-Sliced Wasserstein Distance: A Geometric Perspective
by: Tran, Viet-Hoang, et al.
Published: (2024)
by: Tran, Viet-Hoang, et al.
Published: (2024)
Local Control Networks (LCNs): Optimizing Flexibility in Neural Network Data Pattern Capture
by: Nguyen, Hy, et al.
Published: (2025)
by: Nguyen, Hy, et al.
Published: (2025)
PIMPC-GNN: Physics-Informed Multi-Phase Consensus Learning for Enhancing Imbalanced Node Classification in Graph Neural Networks
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
Enhancing Epidemic Forecasting: Evaluating the Role of Mobility Data and Graph Convolutional Networks
by: Guo, Suhan, et al.
Published: (2025)
by: Guo, Suhan, et al.
Published: (2025)
LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language Models
by: Nguyen, Nam V., et al.
Published: (2024)
by: Nguyen, Nam V., et al.
Published: (2024)
PIMCST: Physics-Informed Multi-Phase Consensus and Spatio-Temporal Few-Shot Learning for Traffic Flow Forecasting
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
Physics-Informed Neural Networks and Extensions
by: Raissi, Maziar, et al.
Published: (2024)
by: Raissi, Maziar, et al.
Published: (2024)
Complex Physics-Informed Neural Network
by: Si, Chenhao, et al.
Published: (2025)
by: Si, Chenhao, et al.
Published: (2025)
Motion Code: Robust Time Series Classification and Forecasting via Sparse Variational Multi-Stochastic Processes Learning
by: Bajaj, Chandrajit, et al.
Published: (2024)
by: Bajaj, Chandrajit, et al.
Published: (2024)
Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory
by: Le, Hung, et al.
Published: (2024)
by: Le, Hung, et al.
Published: (2024)
Enhancing Time Series Forecasting via a Parallel Hybridization of ARIMA and Polynomial Classifiers
by: Nguyen, Thanh Son, et al.
Published: (2025)
by: Nguyen, Thanh Son, et al.
Published: (2025)
Generative Conditional Distributions by Neural (Entropic) Optimal Transport
by: Nguyen, Bao, et al.
Published: (2024)
by: Nguyen, Bao, et al.
Published: (2024)
PBP: Post-training Backdoor Purification for Malware Classifiers
by: Nguyen, Dung Thuy, et al.
Published: (2024)
by: Nguyen, Dung Thuy, et al.
Published: (2024)
Leveraging Model Soups to Classify Intangible Cultural Heritage Images from the Mekong Delta
by: Tran, Quoc-Khang, et al.
Published: (2026)
by: Tran, Quoc-Khang, et al.
Published: (2026)
Densely Multiplied Physics Informed Neural Networks
by: Jiang, Feilong, et al.
Published: (2024)
by: Jiang, Feilong, et al.
Published: (2024)
A-PINN: Auxiliary Physics-informed Neural Networks for Structural Vibration Analysis in Continuous Euler-Bernoulli Beam
by: Saini, Shivani, et al.
Published: (2025)
by: Saini, Shivani, et al.
Published: (2025)
From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach
by: Nguyen, Tuan, et al.
Published: (2023)
by: Nguyen, Tuan, et al.
Published: (2023)
Similar Items
-
MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation Forecasting
by: Tran, Huyen Ngoc, et al.
Published: (2026) -
Robust SDE Parameter Estimation Under Missing Time Information Setting
by: Van Tran, Long, et al.
Published: (2026) -
SeqBattNet: A Discrete-State Physics-Informed Neural Network with Aging Adaptation for Battery Modeling
by: Tran, Khoa, et al.
Published: (2025) -
Revisiting LARS for Large Batch Training Generalization of Neural Networks
by: Do, Khoi, et al.
Published: (2023) -
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications
by: Pham, Nga, et al.
Published: (2024)