:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Jiayu, Wang, Yong, Wang, Nianbin, Yang, Jing, Tao, Xiaohui
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computational Engineering, Finance, and Science
Accesso online:	https://arxiv.org/abs/2412.04521
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

FedEMA-Distill: Exponential Moving Average Guided Knowledge Distillation for Robust Federated Learning
di: Reguieg, Hamza, et al.
Pubblicazione: (2026)

Physics-informed Deep Learning to Solve Three-dimensional Terzaghi Consolidation Equation: Forward and Inverse Problems
di: Yuan, Biao, et al.
Pubblicazione: (2024)

SpecBridge: Bridging Mass Spectrometry and Molecular Representations via Cross-Modal Alignment
di: Wang, Yinkai, et al.
Pubblicazione: (2026)

Physically Informed Synchronic-adaptive Learning for Industrial Systems Modeling in Heterogeneous Media with Unavailable Time-varying Interface
di: Wang, Aina, et al.
Pubblicazione: (2024)

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices
di: Wang, Cong, et al.
Pubblicazione: (2024)

Efficient Traffic Prediction Through Spatio-Temporal Distillation
di: Zhang, Qianru, et al.
Pubblicazione: (2025)

Scale-Equivariant Generative Forecasting: Weight-Tied Dilated Convolutions, Wavelet Scattering Inputs, and Spectral-Consistency Training for Self-Similar Time Series
di: Morandi, Andrea
Pubblicazione: (2026)

Privacy-Preserving Generation Fraud Detection for Distributed Photovoltaic Systems: A Solar Irradiance-Fused Federated Learning Framework
di: Chen, Xiaolu, et al.
Pubblicazione: (2026)

Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
di: Cheng, Qishuo, et al.
Pubblicazione: (2024)

Applications of Machine Learning to Optimizing Polyolefin Manufacturing
di: Sharma, Niket, et al.
Pubblicazione: (2024)

MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction
di: Wang, Mengyu, et al.
Pubblicazione: (2024)

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
di: Li, Yuante, et al.
Pubblicazione: (2025)

Heterogenous Multi-Source Data Fusion Through Input Mapping and Latent Variable Gaussian Process
di: Comlek, Yigitcan, et al.
Pubblicazione: (2024)

Diffusion-Augmented Reinforcement Learning for Robust Portfolio Optimization under Stress Scenarios
di: Choudhary, Himanshu, et al.
Pubblicazione: (2025)

Reinforcement Learning with LLM-Guided Action Spaces for Synthesizable Lead Optimization
di: Li, Tao, et al.
Pubblicazione: (2026)

Multimodal Deep Learning of Word-of-Mouth Text and Demographics to Predict Customer Rating: Handling Consumer Heterogeneity in Marketing
di: Niimi, Junichiro
Pubblicazione: (2024)

Privacy-Preserving Federated Fraud Detection in Payment Transactions with NVIDIA FLARE
di: Roth, Holger R., et al.
Pubblicazione: (2026)

Interpreting CFD Surrogates through Sparse Autoencoders
di: Hu, Yeping, et al.
Pubblicazione: (2025)

Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning
di: Shi, Xinyu, et al.
Pubblicazione: (2024)

Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials
di: Wang, Sifan, et al.
Pubblicazione: (2024)

MemKD: Memory-Discrepancy Knowledge Distillation for Efficient Time Series Classification
di: Udayangani, Nilushika, et al.
Pubblicazione: (2026)

Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks
di: Wang, Julian Junyan, et al.
Pubblicazione: (2025)

t-METASET: Tailoring Property Bias of Large-Scale Metamaterial Datasets through Active Learning
di: Lee, Doksoo, et al.
Pubblicazione: (2022)

A quantitative analysis of knowledge-learning preferences in large language models in molecular science
di: Liu, Pengfei, et al.
Pubblicazione: (2024)

Bias Inheritance in Neural-Symbolic Discovery of Constitutive Closures Under Function-Class Mismatch
di: Liang, Hanbing, et al.
Pubblicazione: (2026)

Integrated Prediction and Multi-period Portfolio Optimization
di: Linghu, Yuxuan, et al.
Pubblicazione: (2025)

CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks
di: Zhang, Shengming, et al.
Pubblicazione: (2025)

Self Distillation Fine-Tuning of Protein Language Models Improves Versatility in Protein Design
di: Tavakoli, Amin, et al.
Pubblicazione: (2025)

Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles
di: Park, Junghoon Justin, et al.
Pubblicazione: (2025)

AIonopedia: an LLM agent orchestrating multimodal learning for ionic liquid discovery
di: Yin, Yuqi, et al.
Pubblicazione: (2025)

Heterogeneous Graph Representation of Stiffened Panels with Non-Uniform Boundary Conditions and Loads
di: Cai, Yuecheng, et al.
Pubblicazione: (2025)

Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization
di: Seurin, Paul, et al.
Pubblicazione: (2023)

A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
di: Cheng, Yu, et al.
Pubblicazione: (2025)

Generative Large-Scale Pre-trained Models for Automated Ad Bidding Optimization
di: Lei, Yu, et al.
Pubblicazione: (2025)

Towards Foundation Model for Chemical Reactor Modeling: Meta-Learning with Physics-Informed Adaptation
di: Wang, Zihao, et al.
Pubblicazione: (2024)

Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
di: Li, Ruikun, et al.
Pubblicazione: (2025)

Black-Box Optimization with Implicit Constraints for Public Policy
di: Xing, Wenqian, et al.
Pubblicazione: (2023)

Deep Reinforcement Learning for Modelling Protein Complexes
di: Gao, Ziqi, et al.
Pubblicazione: (2024)

Large-Scale Contextual Market Equilibrium Computation through Deep Learning
di: Ma, Yunxuan, et al.
Pubblicazione: (2024)

UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction
di: Xin, Weilin, et al.
Pubblicazione: (2025)