Saved in:
| Main Authors: | Liu, Jiayu, Wang, Yong, Wang, Nianbin, Yang, Jing, Tao, Xiaohui |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.04521 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FedEMA-Distill: Exponential Moving Average Guided Knowledge Distillation for Robust Federated Learning
by: Reguieg, Hamza, et al.
Published: (2026)
by: Reguieg, Hamza, et al.
Published: (2026)
Physics-informed Deep Learning to Solve Three-dimensional Terzaghi Consolidation Equation: Forward and Inverse Problems
by: Yuan, Biao, et al.
Published: (2024)
by: Yuan, Biao, et al.
Published: (2024)
SpecBridge: Bridging Mass Spectrometry and Molecular Representations via Cross-Modal Alignment
by: Wang, Yinkai, et al.
Published: (2026)
by: Wang, Yinkai, et al.
Published: (2026)
Physically Informed Synchronic-adaptive Learning for Industrial Systems Modeling in Heterogeneous Media with Unavailable Time-varying Interface
by: Wang, Aina, et al.
Published: (2024)
by: Wang, Aina, et al.
Published: (2024)
Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices
by: Wang, Cong, et al.
Published: (2024)
by: Wang, Cong, et al.
Published: (2024)
Efficient Traffic Prediction Through Spatio-Temporal Distillation
by: Zhang, Qianru, et al.
Published: (2025)
by: Zhang, Qianru, et al.
Published: (2025)
Scale-Equivariant Generative Forecasting: Weight-Tied Dilated Convolutions, Wavelet Scattering Inputs, and Spectral-Consistency Training for Self-Similar Time Series
by: Morandi, Andrea
Published: (2026)
by: Morandi, Andrea
Published: (2026)
Privacy-Preserving Generation Fraud Detection for Distributed Photovoltaic Systems: A Solar Irradiance-Fused Federated Learning Framework
by: Chen, Xiaolu, et al.
Published: (2026)
by: Chen, Xiaolu, et al.
Published: (2026)
Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
by: Cheng, Qishuo, et al.
Published: (2024)
by: Cheng, Qishuo, et al.
Published: (2024)
Applications of Machine Learning to Optimizing Polyolefin Manufacturing
by: Sharma, Niket, et al.
Published: (2024)
by: Sharma, Niket, et al.
Published: (2024)
MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction
by: Wang, Mengyu, et al.
Published: (2024)
by: Wang, Mengyu, et al.
Published: (2024)
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
by: Li, Yuante, et al.
Published: (2025)
by: Li, Yuante, et al.
Published: (2025)
Heterogenous Multi-Source Data Fusion Through Input Mapping and Latent Variable Gaussian Process
by: Comlek, Yigitcan, et al.
Published: (2024)
by: Comlek, Yigitcan, et al.
Published: (2024)
Diffusion-Augmented Reinforcement Learning for Robust Portfolio Optimization under Stress Scenarios
by: Choudhary, Himanshu, et al.
Published: (2025)
by: Choudhary, Himanshu, et al.
Published: (2025)
Reinforcement Learning with LLM-Guided Action Spaces for Synthesizable Lead Optimization
by: Li, Tao, et al.
Published: (2026)
by: Li, Tao, et al.
Published: (2026)
Multimodal Deep Learning of Word-of-Mouth Text and Demographics to Predict Customer Rating: Handling Consumer Heterogeneity in Marketing
by: Niimi, Junichiro
Published: (2024)
by: Niimi, Junichiro
Published: (2024)
Privacy-Preserving Federated Fraud Detection in Payment Transactions with NVIDIA FLARE
by: Roth, Holger R., et al.
Published: (2026)
by: Roth, Holger R., et al.
Published: (2026)
Interpreting CFD Surrogates through Sparse Autoencoders
by: Hu, Yeping, et al.
Published: (2025)
by: Hu, Yeping, et al.
Published: (2025)
Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning
by: Shi, Xinyu, et al.
Published: (2024)
by: Shi, Xinyu, et al.
Published: (2024)
Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials
by: Wang, Sifan, et al.
Published: (2024)
by: Wang, Sifan, et al.
Published: (2024)
MemKD: Memory-Discrepancy Knowledge Distillation for Efficient Time Series Classification
by: Udayangani, Nilushika, et al.
Published: (2026)
by: Udayangani, Nilushika, et al.
Published: (2026)
Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks
by: Wang, Julian Junyan, et al.
Published: (2025)
by: Wang, Julian Junyan, et al.
Published: (2025)
t-METASET: Tailoring Property Bias of Large-Scale Metamaterial Datasets through Active Learning
by: Lee, Doksoo, et al.
Published: (2022)
by: Lee, Doksoo, et al.
Published: (2022)
A quantitative analysis of knowledge-learning preferences in large language models in molecular science
by: Liu, Pengfei, et al.
Published: (2024)
by: Liu, Pengfei, et al.
Published: (2024)
Bias Inheritance in Neural-Symbolic Discovery of Constitutive Closures Under Function-Class Mismatch
by: Liang, Hanbing, et al.
Published: (2026)
by: Liang, Hanbing, et al.
Published: (2026)
Integrated Prediction and Multi-period Portfolio Optimization
by: Linghu, Yuxuan, et al.
Published: (2025)
by: Linghu, Yuxuan, et al.
Published: (2025)
CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks
by: Zhang, Shengming, et al.
Published: (2025)
by: Zhang, Shengming, et al.
Published: (2025)
Self Distillation Fine-Tuning of Protein Language Models Improves Versatility in Protein Design
by: Tavakoli, Amin, et al.
Published: (2025)
by: Tavakoli, Amin, et al.
Published: (2025)
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles
by: Park, Junghoon Justin, et al.
Published: (2025)
by: Park, Junghoon Justin, et al.
Published: (2025)
AIonopedia: an LLM agent orchestrating multimodal learning for ionic liquid discovery
by: Yin, Yuqi, et al.
Published: (2025)
by: Yin, Yuqi, et al.
Published: (2025)
Heterogeneous Graph Representation of Stiffened Panels with Non-Uniform Boundary Conditions and Loads
by: Cai, Yuecheng, et al.
Published: (2025)
by: Cai, Yuecheng, et al.
Published: (2025)
Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization
by: Seurin, Paul, et al.
Published: (2023)
by: Seurin, Paul, et al.
Published: (2023)
A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
by: Cheng, Yu, et al.
Published: (2025)
by: Cheng, Yu, et al.
Published: (2025)
Generative Large-Scale Pre-trained Models for Automated Ad Bidding Optimization
by: Lei, Yu, et al.
Published: (2025)
by: Lei, Yu, et al.
Published: (2025)
Towards Foundation Model for Chemical Reactor Modeling: Meta-Learning with Physics-Informed Adaptation
by: Wang, Zihao, et al.
Published: (2024)
by: Wang, Zihao, et al.
Published: (2024)
Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
by: Li, Ruikun, et al.
Published: (2025)
by: Li, Ruikun, et al.
Published: (2025)
Black-Box Optimization with Implicit Constraints for Public Policy
by: Xing, Wenqian, et al.
Published: (2023)
by: Xing, Wenqian, et al.
Published: (2023)
Deep Reinforcement Learning for Modelling Protein Complexes
by: Gao, Ziqi, et al.
Published: (2024)
by: Gao, Ziqi, et al.
Published: (2024)
Large-Scale Contextual Market Equilibrium Computation through Deep Learning
by: Ma, Yunxuan, et al.
Published: (2024)
by: Ma, Yunxuan, et al.
Published: (2024)
UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction
by: Xin, Weilin, et al.
Published: (2025)
by: Xin, Weilin, et al.
Published: (2025)
Similar Items
-
FedEMA-Distill: Exponential Moving Average Guided Knowledge Distillation for Robust Federated Learning
by: Reguieg, Hamza, et al.
Published: (2026) -
Physics-informed Deep Learning to Solve Three-dimensional Terzaghi Consolidation Equation: Forward and Inverse Problems
by: Yuan, Biao, et al.
Published: (2024) -
SpecBridge: Bridging Mass Spectrometry and Molecular Representations via Cross-Modal Alignment
by: Wang, Yinkai, et al.
Published: (2026) -
Physically Informed Synchronic-adaptive Learning for Industrial Systems Modeling in Heterogeneous Media with Unavailable Time-varying Interface
by: Wang, Aina, et al.
Published: (2024) -
Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices
by: Wang, Cong, et al.
Published: (2024)