Imagen de Portada

gym-invmgmt: An Open Benchmarking Framework for Inventory Management Methods

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Barati, Reza, Hu, Qinmin Vivian
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Computational Engineering, Finance, and Science
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Time Series Analysis in Frequency Domain: A Survey of Open Challenges, Opportunities and Benchmarks
por: Zhang, Qianru, et al.
Publicado: (2025)

Coupled Diffusion-Encoder Models for Reconstruction of Flow Fields
por: Hemmasian, AmirPouya, et al.
Publicado: (2026)

Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs
por: Rezaei, Shahed, et al.
Publicado: (2024)

Query2CAD: Generating CAD models using natural language queries
por: Badagabettu, Akshay, et al.
Publicado: (2024)

CaFA: Global Weather Forecasting with Factorized Attention on Sphere
por: Li, Zijie, et al.
Publicado: (2024)

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

COBRA: Multimodal Sensing Deep Learning Framework for Remote Chronic Obesity Management via Wrist-Worn Activity Monitoring
por: Shen, Zhengyang, et al.
Publicado: (2025)

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
por: Hu, Yifan, et al.
Publicado: (2025)

3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery
por: Hu, Xiuyuan, et al.
Publicado: (2025)

The Role of Deep Learning in Financial Asset Management: A Systematic Review
por: Reis, Pedro, et al.
Publicado: (2025)

LLM-guided Chemical Process Optimization with a Multi-Agent Approach
por: Zeng, Tong, et al.
Publicado: (2025)

FairTune: A Bias-Aware Fine-Tuning Framework Towards Fair Heart Rate Prediction from PPG
por: Panchumarthi, Lovely Yeswanth, et al.
Publicado: (2025)

Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks
por: Wasi, Azmine Toushik, et al.
Publicado: (2024)

B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data
por: Proszewska, Magdalena, et al.
Publicado: (2025)

ChemReservoir -- An Open-Source Framework for Chemically-Inspired Reservoir Computing
por: Yirik, Mehmet Aziz, et al.
Publicado: (2025)

Differentiable Multiphysics Co-Optimization via Implicit Neural Representations: A Transient Hamburger-Cooking Benchmark
por: Zobeiry, Navid
Publicado: (2026)

Learning Fluid-Structure Interaction with Physics-Informed Machine Learning and Immersed Boundary Methods
por: Farea, Afrah, et al.
Publicado: (2025)

A Novel Decision Ensemble Framework: Customized Attention-BiLSTM and XGBoost for Speculative Stock Price Forecasting
por: Din, Riaz Ud, et al.
Publicado: (2024)

WeirNet: A Large-Scale 3D CFD Benchmark for Geometric Surrogate Modeling of Piano Key Weirs
por: Lüddecke, Lisa, et al.
Publicado: (2026)

A Pretraining-Finetuning Computational Framework for Material Homogenization
por: Wang, Yizheng, et al.
Publicado: (2024)

A Reward-Directed Diffusion Framework for Generative Design Optimization
por: Keramati, Hadi, et al.
Publicado: (2025)

Aggregation of Published Non-Uniform Axial Power Data for Phase II of the OECD/NEA AI/ML Critical Heat Flux Benchmark
por: Bourisaw, Reece, et al.
Publicado: (2025)

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

A Cutting Mechanics-based Machine Learning Modeling Method to Discover Governing Equations of Machining Dynamics
por: Ren, Alisa, et al.
Publicado: (2025)

PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
por: Zhao, Zhiyuan, et al.
Publicado: (2023)

A User-Tunable Machine Learning Framework for Step-Wise Synthesis Planning
por: Prakash, Shivesh, et al.
Publicado: (2025)

A Streaming Sparse Cholesky Method for Derivative-Informed Gaussian Process Surrogates Within Digital Twin Applications
por: Logakannan, Krishna Prasath, et al.
Publicado: (2025)

LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
por: Zhu, Peng, et al.
Publicado: (2024)

A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty
por: Singh, Pratyush Kumar, et al.
Publicado: (2024)

Optimizing Predictive Maintenance in Intelligent Manufacturing: An Integrated FNO-DAE-GNN-PPO MDP Framework
por: Qiu, Shiqing
Publicado: (2025)

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

Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method
por: Baek, Jonghyuk, et al.
Publicado: (2023)

A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring
por: Karkaria, Vispi, et al.
Publicado: (2024)

Advancing Machine Learning in Industry 4.0: Benchmark Framework for Rare-event Prediction in Chemical Processes
por: Sudarshan, Vikram, et al.
Publicado: (2024)

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

ShapeGen3DCP: A Deep Learning Framework for Layer Shape Prediction in 3D Concrete Printing
por: Rizzieri, Giacomo, et al.
Publicado: (2025)

Foam-Agent 2.0: An End-to-End Composable Multi-Agent Framework for Automating CFD Simulation in OpenFOAM
por: Yue, Ling, et al.
Publicado: (2025)

Accurate and Reliable Uncertainty Estimates for Deterministic Predictions Extensions to Under and Overpredictions
por: Bandy, Rileigh, et al.
Publicado: (2026)

Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression
por: Markidis, Stefano, et al.
Publicado: (2025)

Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
por: Cao, Bokai, et al.
Publicado: (2025)