:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tao, Shilong, Feng, Zhe, Sun, Haonan, Zhu, Zhanxing, Liu, Yunhuai
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2506.06001
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unisoma: A Unified Transformer-based Solver for Multi-Solid Systems
by: Tao, Shilong, et al.
Published: (2025)

FilDeep: Learning Large Deformations of Elastic-Plastic Solids with Multi-Fidelity Data
by: Tang, Jianheng, et al.
Published: (2026)

MAVEN: A Mesh-Aware Volumetric Encoding Network for Simulating 3D Flexible Deformation
by: Feng, Zhe, et al.
Published: (2026)

Neural Latent Arbitrary Lagrangian-Eulerian Grids for Fluid-Solid Interaction
by: Tao, Shilong, et al.
Published: (2026)

Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher
by: Ji, Guangda, et al.
Published: (2020)

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data
by: Tang, Jianheng, et al.
Published: (2025)

Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
by: Shen, Qianli, et al.
Published: (2024)

On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation
by: Yu, Bing, et al.
Published: (2020)

SynthFormer: Equivariant Pharmacophore-based Generation of Synthesizable Molecules for Ligand-Based Drug Design
by: Jocys, Zygimantas, et al.
Published: (2024)

Efficient Linear Attention for Multivariate Time Series Modeling via Entropy Equality
by: Zhang, Mingtao, et al.
Published: (2025)

ACU: Analytic Continual Unlearning for Efficient and Exact Forgetting with Privacy Preservation
by: Tang, Jianheng, et al.
Published: (2025)

DeepAFL: Deep Analytic Federated Learning
by: Tang, Jianheng, et al.
Published: (2026)

Aryl: An Elastic Cluster Scheduler for Deep Learning
by: Li, Jiamin, et al.
Published: (2022)

Implicit Neural-Representation Learning for Elastic Deformable-Object Manipulations
by: Song, Minseok, et al.
Published: (2025)

Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
by: Lan, Jiahua, et al.
Published: (2025)

Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning
by: Yuan, Mingqi, et al.
Published: (2025)

Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
by: Lu, Aojun, et al.
Published: (2025)

Heavy-Ball Momentum Method in Continuous Time and Discretization Error Analysis
by: Lyu, Bochen, et al.
Published: (2025)

Maintaining Plasticity in Deep Continual Learning
by: Dohare, Shibhansh, et al.
Published: (2023)

Plastic Learning with Deep Fourier Features
by: Lewandowski, Alex, et al.
Published: (2024)

Evaluation of Neural Surrogates for Physical Modelling Synthesis of Nonlinear Elastic Plates
by: Martin, Carlos De La Vega, et al.
Published: (2025)

Surrogate Modeling of Melt Pool Thermal Field using Deep Learning
by: Hemmasian, AmirPouya, et al.
Published: (2022)

AutoSurrogate: An LLM-Driven Multi-Agent Framework for Autonomous Construction of Deep Learning Surrogate Models in Subsurface Flow
by: Liu, Jiale, et al.
Published: (2026)

Predicting Plasticity in Deep Continual Learning: A Theoretical Perspective
by: Wang, Jiuqi, et al.
Published: (2026)

Multi-Step Embed to Control: A Novel Deep Learning-based Approach for Surrogate Modelling in Reservoir Simulation
by: Chen, Jungang, et al.
Published: (2024)

A Spatial-temporal Deep Probabilistic Diffusion Model for Reliable Hail Nowcasting with Radar Echo Extrapolation
by: Shi, Haonan, et al.
Published: (2025)

Rethinking Plasticity in Deep Reinforcement Learning
by: He, Zhiqiang
Published: (2026)

Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off
by: Lai, Song, et al.
Published: (2025)

Can LLMs Handle WebShell Detection? Overcoming Detection Challenges with Behavioral Function-Aware Framework
by: Han, Feijiang, et al.
Published: (2025)

D2R: dual regularization loss with collaborative adversarial generation for model robustness
by: Liu, Zhenyu, et al.
Published: (2025)

Autonomous Pressure Control in MuVacAS via Deep Reinforcement Learning and Deep Learning Surrogate Models
by: Rodriguez-Llorente, Guillermo, et al.
Published: (2025)

TGLF-WINN: Data-Efficient Deep Learning Surrogate for Turbulent Transport Modeling in Fusion
by: Cao, Yadi, et al.
Published: (2025)

Deep Learning Surrogates for Emulating Stochastic Climate Tipping Dynamics
by: Hillier, Adeline, et al.
Published: (2026)

A Comparative Study of Traditional Machine Learning, Deep Learning, and Large Language Models for Mental Health Forecasting using Smartphone Sensing Data
by: Feng, Kaidong, et al.
Published: (2026)

NeuroPlastic: A Plasticity-Modulated Optimizer for Biologically Inspired Learning Dynamics
by: Jiang, Douglas, et al.
Published: (2026)

Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
by: Chiang, Chia-Cheng, et al.
Published: (2024)

A Kolmogorov-Arnold Surrogate Model for Chemical Equilibria: Application to Solid Solutions
by: Boledi, Leonardo, et al.
Published: (2026)

Testing of Deep Reinforcement Learning Agents with Surrogate Models
by: Biagiola, Matteo, et al.
Published: (2023)

Deep Learning Surrogates for Real-Time Gas Emission Inversion
by: Newman, Thomas, et al.
Published: (2025)

Elastic Multi-Gradient Descent for Parallel Continual Learning
by: Lyu, Fan, et al.
Published: (2024)