Geometry-aware framework for deep energy method: an application to structural mechanics with hyperelastic materials
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Thi Nguyen Khoa, Dairay, Thibault, Meunier, Raphaël, Millet, Christophe, Mougeot, Mathilde |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fixed-budget online adaptive learning for physics-informed neural networks. Towards parameterized problem inference
by: Nguyen, Thi Nguyen Khoa, et al.
Published: (2022)
by: Nguyen, Thi Nguyen Khoa, et al.
Published: (2022)
Deep Generative Methods and Tire Architecture Design
by: Oubari, Fouad, et al.
Published: (2025)
by: Oubari, Fouad, et al.
Published: (2025)
A Markov Random Field Multi-Modal Variational AutoEncoder
by: Oubari, Fouad, et al.
Published: (2024)
by: Oubari, Fouad, et al.
Published: (2024)
Multi-Component VAE with Gaussian Markov Random Field
by: Oubari, Fouad, et al.
Published: (2025)
by: Oubari, Fouad, et al.
Published: (2025)
Correcting Source Mismatch in Flow Matching with Radial-Angular Transport
by: Oubari, Fouad, et al.
Published: (2026)
by: Oubari, Fouad, et al.
Published: (2026)
Constitutive parameterized deep energy method for solid mechanics problems with random material parameters
by: Liang, Zhangyong, et al.
Published: (2026)
by: Liang, Zhangyong, et al.
Published: (2026)
Program Structure-aware Language Models: Targeted Software Testing beyond Textual Semantics
by: Tran, Khang, et al.
Published: (2026)
by: Tran, Khang, et al.
Published: (2026)
Neural Autoregressive Flows for Markov Boundary Learning
by: Nguyen, Khoa, et al.
Published: (2026)
by: Nguyen, Khoa, et al.
Published: (2026)
Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization
by: de Mathelin, Antoine, et al.
Published: (2023)
by: de Mathelin, Antoine, et al.
Published: (2023)
Cold-start Recommendation by Personalized Embedding Region Elicitation
by: Nguyen, Hieu Trung, et al.
Published: (2024)
by: Nguyen, Hieu Trung, et al.
Published: (2024)
Missing data imputation for noisy time-series data and applications in healthcare
by: Le, Lien P., et al.
Published: (2024)
by: Le, Lien P., et al.
Published: (2024)
CAMEx: Curvature-aware Merging of Experts
by: Nguyen, Dung V., et al.
Published: (2025)
by: Nguyen, Dung V., et al.
Published: (2025)
DCEM: A deep complementary energy method for solid mechanics
by: Wang, Yizheng, et al.
Published: (2023)
by: Wang, Yizheng, et al.
Published: (2023)
FairFinGAN: Fairness-aware Synthetic Financial Data Generation
by: Quy, Tai Le, et al.
Published: (2026)
by: Quy, Tai Le, et al.
Published: (2026)
Stein Diffusion Guidance: Training-Free Posterior Correction for Sampling Beyond High-Density Regions
by: Nguyen, Van Khoa, et al.
Published: (2025)
by: Nguyen, Van Khoa, et al.
Published: (2025)
BN-SCAFFOLD: controlling the drift of Batch Normalization statistics in Federated Learning
by: Quintana, Gonzalo Iñaki, et al.
Published: (2024)
by: Quintana, Gonzalo Iñaki, et al.
Published: (2024)
Cascaded Transfer: Learning Many Tasks under Budget Constraints
by: Campagne, Eloi, et al.
Published: (2026)
by: Campagne, Eloi, et al.
Published: (2026)
IBMA: An Imputation-Based Mixup Augmentation Using Self-Supervised Learning for Time Series Data
by: Nguyen, Dang Nha, et al.
Published: (2025)
by: Nguyen, Dang Nha, et al.
Published: (2025)
A physics-aware deep learning model for shear band formation around collapsing pores in shocked reactive materials
by: Cheng, Xinlun, et al.
Published: (2025)
by: Cheng, Xinlun, et al.
Published: (2025)
OneBatchPAM: A Fast and Frugal K-Medoids Algorithm
by: de Mathelin, Antoine, et al.
Published: (2025)
by: de Mathelin, Antoine, et al.
Published: (2025)
Clustering-based Meta Bayesian Optimization with Theoretical Guarantee
by: Nguyen, Khoa, et al.
Published: (2025)
by: Nguyen, Khoa, et al.
Published: (2025)
Grothendieck Graph Neural Networks Framework: An Algebraic Platform for Crafting Topology-Aware GNNs
by: Langari, Amirreza Shiralinasab, et al.
Published: (2024)
by: Langari, Amirreza Shiralinasab, et al.
Published: (2024)
Modeling Topological Impact on Node Attribute Distributions in Attributed Graphs
by: Langari, Amirreza Shiralinasab, et al.
Published: (2026)
by: Langari, Amirreza Shiralinasab, 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)
Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application
by: Quintana, Gonzalo Iñaki, et al.
Published: (2025)
by: Quintana, Gonzalo Iñaki, et al.
Published: (2025)
Explaining Graph Neural Networks via Structure-aware Interaction Index
by: Bui, Ngoc, et al.
Published: (2024)
by: Bui, Ngoc, et al.
Published: (2024)
Counterfactual Understanding via Retrieval-aware Multimodal Modeling for Time-to-Event Survival Prediction
by: Nguyen, Ha-Anh Hoang, et al.
Published: (2026)
by: Nguyen, Ha-Anh Hoang, et al.
Published: (2026)
ViQA-COVID: COVID-19 Machine Reading Comprehension Dataset for Vietnamese
by: Nguyen-Phung, Hai-Chung, et al.
Published: (2025)
by: Nguyen-Phung, Hai-Chung, et al.
Published: (2025)
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)
Deep learning-based method for weather forecasting: A case study in Itoshima
by: Cheng, Yuzhong, et al.
Published: (2024)
by: Cheng, Yuzhong, et al.
Published: (2024)
Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling
by: Nguyen, Phuc Minh, et al.
Published: (2025)
by: Nguyen, Phuc Minh, et al.
Published: (2025)
Orientation-aware interaction-based deep material network in polycrystalline materials modeling
by: Wei, Ting-Ju, et al.
Published: (2025)
by: Wei, Ting-Ju, et al.
Published: (2025)
GLAD: Improving Latent Graph Generative Modeling with Simple Quantization
by: Nguyen, Van Khoa, et al.
Published: (2024)
by: Nguyen, Van Khoa, et al.
Published: (2024)
MING: A Functional Approach to Learning Molecular Generative Models
by: Nguyen, Van Khoa, et al.
Published: (2024)
by: Nguyen, Van Khoa, et al.
Published: (2024)
Machine and deep learning methods for predicting 3D genome organization
by: Wall, Brydon P. G., et al.
Published: (2024)
by: Wall, Brydon P. G., et al.
Published: (2024)
Material Identification using Multi-Modal Intrinsic Radiation and Radiography
by: Nguyen, Khoa, et al.
Published: (2026)
by: Nguyen, Khoa, et al.
Published: (2026)
A Privacy-Centric Approach: Scalable and Secure Federated Learning Enabled by Hybrid Homomorphic Encryption
by: Nguyen, Khoa, et al.
Published: (2025)
by: Nguyen, Khoa, et al.
Published: (2025)
SGD method for entropy error function with smoothing l0 regularization for neural networks
by: Nguyen, Trong-Tuan, et al.
Published: (2024)
by: Nguyen, Trong-Tuan, et al.
Published: (2024)
Collaborative Learning for Cyberattack Detection in Blockchain Networks
by: Khoa, Tran Viet, et al.
Published: (2022)
by: Khoa, Tran Viet, et al.
Published: (2022)
QLAM: A Quantum Long-Attention Memory Approach to Long-Sequence Token Modeling
by: Nguyen, Hoang-Quan, et al.
Published: (2026)
by: Nguyen, Hoang-Quan, et al.
Published: (2026)
Similar Items
-
Fixed-budget online adaptive learning for physics-informed neural networks. Towards parameterized problem inference
by: Nguyen, Thi Nguyen Khoa, et al.
Published: (2022) -
Deep Generative Methods and Tire Architecture Design
by: Oubari, Fouad, et al.
Published: (2025) -
A Markov Random Field Multi-Modal Variational AutoEncoder
by: Oubari, Fouad, et al.
Published: (2024) -
Multi-Component VAE with Gaussian Markov Random Field
by: Oubari, Fouad, et al.
Published: (2025) -
Correcting Source Mismatch in Flow Matching with Radial-Angular Transport
by: Oubari, Fouad, et al.
Published: (2026)