Saved in:
| Main Author: | Liang, Zhangyong |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.24745 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hybrid Iterative Neural Low-Regularity Integrator for Nonlinear Dispersive Equations
by: Liang, Zhangyong
Published: (2026)
by: Liang, Zhangyong
Published: (2026)
Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs
by: Liang, Zhangyong
Published: (2026)
by: Liang, Zhangyong
Published: (2026)
Stochastic-Dimension Frozen Sampled Neural Network for High-Dimensional Gross-Pitaevskii Equations on Unbounded Domains
by: Liang, Zhangyong
Published: (2026)
by: Liang, Zhangyong
Published: (2026)
Stochastic Dimension Implicit Functional Projections for Exact Integral Conservation in High-Dimensional PINNs
by: Liang, Zhangyong
Published: (2026)
by: Liang, Zhangyong
Published: (2026)
Stochastic Dimension-Free Zeroth-Order Estimator for High-Dimensional and High-Order PINNs
by: Liang, Zhangyong, et al.
Published: (2026)
by: Liang, Zhangyong, et al.
Published: (2026)
Manifold-Orthogonal Dual-spectrum Extrapolation for Parameterized Physics-Informed Neural Networks
by: Liang, Zhangyong, et al.
Published: (2026)
by: Liang, Zhangyong, et al.
Published: (2026)
Categorical Optimization with Bayesian Anchored Latent Trust Regions for Structural Design under High-Dimensional Uncertainty
by: Liang, Zhangyong, et al.
Published: (2026)
by: Liang, Zhangyong, 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)
Error Estimate and Convergence Analysis for Data Valuation
by: Liang, Zhangyong, et al.
Published: (2025)
by: Liang, Zhangyong, et al.
Published: (2025)
Neural Dynamic Data Valuation: A Stochastic Optimal Control Approach
by: Liang, Zhangyong, et al.
Published: (2024)
by: Liang, Zhangyong, et al.
Published: (2024)
Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning
by: Nowdeh, Hossein R., et al.
Published: (2025)
by: Nowdeh, Hossein R., et al.
Published: (2025)
Dual Space Preconditioning for Gradient Descent in the Overparameterized Regime
by: Ghane, Reza, et al.
Published: (2026)
by: Ghane, Reza, et al.
Published: (2026)
Conflict-Aware Adversarial Training
by: Xue, Zhiyu, et al.
Published: (2024)
by: Xue, Zhiyu, et al.
Published: (2024)
Preventing Conflicting Gradients in Neural Marked Temporal Point Processes
by: Bosser, Tanguy, et al.
Published: (2024)
by: Bosser, Tanguy, et al.
Published: (2024)
Stochastic Gradient Descent in the Saddle-to-Saddle Regime of Deep Linear Networks
by: Corlouer, Guillaume, et al.
Published: (2026)
by: Corlouer, Guillaume, et al.
Published: (2026)
Gradient Flow Through Diagram Expansions: Learning Regimes and Explicit Solutions
by: Yarotsky, Dmitry, et al.
Published: (2026)
by: Yarotsky, Dmitry, et al.
Published: (2026)
Conflict-Averse Gradient Descent for Multi-task Learning
by: Liu, Bo, et al.
Published: (2021)
by: Liu, Bo, et al.
Published: (2021)
Explainable Regime Aware Investing
by: Boukardagha, Amine
Published: (2026)
by: Boukardagha, Amine
Published: (2026)
Per-Loss Adapters for Gradient Conflict in Physics-Informed Neural Networks
by: Kim, Bum Jun, et al.
Published: (2026)
by: Kim, Bum Jun, et al.
Published: (2026)
Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning
by: Kim, Dohyeong, et al.
Published: (2024)
by: Kim, Dohyeong, et al.
Published: (2024)
Harmonized Gradient Descent for Class Imbalanced Data Stream Online Learning
by: Zhou, Han, et al.
Published: (2025)
by: Zhou, Han, et al.
Published: (2025)
Convergence of Stochastic Gradient Langevin Dynamics in the Lazy Training Regime
by: Oberweis, Noah, et al.
Published: (2025)
by: Oberweis, Noah, et al.
Published: (2025)
Gradient Harmonization in Unsupervised Domain Adaptation
by: Huang, Fuxiang, et al.
Published: (2024)
by: Huang, Fuxiang, et al.
Published: (2024)
RegimeNAS: Regime-Aware Differentiable Architecture Search With Theoretical Guarantees for Financial Trading
by: Devadiga, Prathamesh, et al.
Published: (2025)
by: Devadiga, Prathamesh, et al.
Published: (2025)
Mixture-of-Experts with Gradient Conflict-Driven Subspace Topology Pruning for Emergent Modularity
by: Gan, Yuxing, et al.
Published: (2025)
by: Gan, Yuxing, et al.
Published: (2025)
RareCP: Regime-Aware Retrieval for Efficient Conformal Prediction
by: Heurich, Manuel, et al.
Published: (2026)
by: Heurich, Manuel, et al.
Published: (2026)
A Regime-Aware Fusion Framework for Time Series Classification
by: Chauhan, Honey Singh, et al.
Published: (2025)
by: Chauhan, Honey Singh, et al.
Published: (2025)
How Does Label Noise Gradient Descent Improve Generalization in the Low SNR Regime?
by: Huang, Wei, et al.
Published: (2025)
by: Huang, Wei, et al.
Published: (2025)
Decentralized Instruction Tuning: Conflict-Aware Splitting and Weight Merging
by: Choi, Minsik, et al.
Published: (2026)
by: Choi, Minsik, et al.
Published: (2026)
Scalable Multi-Objective Robot Reinforcement Learning through Gradient Conflict Resolution
by: Munn, Humphrey, et al.
Published: (2025)
by: Munn, Humphrey, et al.
Published: (2025)
Kinetic-Mamba: Mamba-Assisted Predictions of Stiff Chemical Kinetics
by: Pandey, Additi, et al.
Published: (2025)
by: Pandey, Additi, et al.
Published: (2025)
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization
by: Zhang, Xinyu, et al.
Published: (2023)
by: Zhang, Xinyu, et al.
Published: (2023)
Three Regimes of Context-Parametric Conflict: A Predictive Framework and Empirical Validation
by: Venkata, Pruthvinath Jeripity
Published: (2026)
by: Venkata, Pruthvinath Jeripity
Published: (2026)
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization
by: Hoang, Bao, et al.
Published: (2024)
by: Hoang, Bao, et al.
Published: (2024)
Federated Unlearning with Gradient Descent and Conflict Mitigation
by: Pan, Zibin, et al.
Published: (2024)
by: Pan, Zibin, et al.
Published: (2024)
R-GTD: A Geometric Analysis of Gradient Temporal-Difference Learning in Singular Regimes
by: Na, Hyunjun, et al.
Published: (2026)
by: Na, Hyunjun, et al.
Published: (2026)
Online Ensemble Learning for Sector Rotation: A Gradient-Free Framework
by: Miao, Jiaju, et al.
Published: (2023)
by: Miao, Jiaju, et al.
Published: (2023)
CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging
by: Yang, Zongzhen, et al.
Published: (2025)
by: Yang, Zongzhen, et al.
Published: (2025)
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning
by: Patel, Gaurav, et al.
Published: (2025)
by: Patel, Gaurav, et al.
Published: (2025)
CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training
by: Tabesh, Soroush, et al.
Published: (2025)
by: Tabesh, Soroush, et al.
Published: (2025)
Similar Items
-
Hybrid Iterative Neural Low-Regularity Integrator for Nonlinear Dispersive Equations
by: Liang, Zhangyong
Published: (2026) -
Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs
by: Liang, Zhangyong
Published: (2026) -
Stochastic-Dimension Frozen Sampled Neural Network for High-Dimensional Gross-Pitaevskii Equations on Unbounded Domains
by: Liang, Zhangyong
Published: (2026) -
Stochastic Dimension Implicit Functional Projections for Exact Integral Conservation in High-Dimensional PINNs
by: Liang, Zhangyong
Published: (2026) -
Stochastic Dimension-Free Zeroth-Order Estimator for High-Dimensional and High-Order PINNs
by: Liang, Zhangyong, et al.
Published: (2026)