Copertina

Matrix-Free Jacobian Chaining

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Naumann, Uwe
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computational Engineering, Finance, and Science
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Seasons's Greetings by AD
di: Naumann, Uwe
Pubblicazione: (2023)

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

AttnBoost: Retail Supply Chain Sales Insights via Gradient Boosting Perspective
di: Liu, Yadi, et al.
Pubblicazione: (2025)

AI in Supply Chain Risk Assessment: A Systematic Literature Review and Bibliometric Analysis
di: Jahin, Md Abrar, et al.
Pubblicazione: (2023)

GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data
di: Zheng, Jiahui, et al.
Pubblicazione: (2025)

Free-form Grid Structure Form Finding based on Machine Learning and Multi-objective Optimisation
di: Meng, Yiping, et al.
Pubblicazione: (2024)

Differential Inversion of the Implicit Euler Method: Symbolic Analysis
di: Naumann, Uwe
Pubblicazione: (2024)

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

MLP, XGBoost, KAN, TDNN, and LSTM-GRU Hybrid RNN with Attention for SPX and NDX European Call Option Pricing
di: Ter-Avanesov, Boris, et al.
Pubblicazione: (2024)

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

Decoding RWA Tokenized U.S. Treasuries: Functional Dissection and Address Role Inference
di: Luo, Junliang, et al.
Pubblicazione: (2025)

UAMM: Price-oracle based Automated Market Maker
di: Im, Daniel Jiwoong, et al.
Pubblicazione: (2023)

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

PI-JEPA: Label-Free Surrogate Pretraining for Coupled Multiphysics Simulation via Operator-Split Latent Prediction
di: Yee, Brandon, et al.
Pubblicazione: (2026)

Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
di: Wang, Bicheng, et al.
Pubblicazione: (2025)

Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting
di: Peik, Arash, et al.
Pubblicazione: (2024)

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

International Trade Flow Prediction with Bilateral Trade Provisions
di: Pan, Zijie, et al.
Pubblicazione: (2024)

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

Large and Deep Factor Models
di: Kelly, Bryan, et al.
Pubblicazione: (2024)

Beyond the Black Box: Interpretability of LLMs in Finance
di: Tatsat, Hariom, et al.
Pubblicazione: (2025)

Vector-Quantized Discrete Latent Factors Meet Financial Priors: Dynamic Cross-Sectional Stock Ranking Prediction for Portfolio Construction
di: Kim, Namhyoung, et al.
Pubblicazione: (2026)

Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
di: Kandimalla, Eshwar Sai, et al.
Pubblicazione: (2026)

Adaptive Temporal Fusion Transformers for Cryptocurrency Price Prediction
di: Peik, Arash, et al.
Pubblicazione: (2025)

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

Simulation-Free Determination of Microstructure Representative Volume Element Size via Fisher Scores
di: Liu, Wei, et al.
Pubblicazione: (2024)

Kinematics Modeling of Peroxy Free Radicals: A Deep Reinforcement Learning Approach
di: Nayak, Subhadarsi, et al.
Pubblicazione: (2024)

Two-Stage Surrogate Modeling for Data-Driven Design Optimization with Application to Composite Microstructure Generation
di: Pourkamali-Anaraki, Farhad, et al.
Pubblicazione: (2024)

Physics-Informed Machine Learning for Smart Additive Manufacturing
di: Sharma, Rahul, et al.
Pubblicazione: (2024)

STAResNet: a Network in Spacetime Algebra to solve Maxwell's PDEs
di: Pepe, Alberto, et al.
Pubblicazione: (2024)

Neural Persistence Dynamics
di: Zeng, Sebastian, et al.
Pubblicazione: (2024)

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

Efficient Aircraft Design Optimization Using Multi-Fidelity Models and Multi-fidelity Physics Informed Neural Networks
di: Sarker, Apurba
Pubblicazione: (2024)

Addressing Large Action Spaces in 3D Floorplanning via Spatial Generalization
di: Amin, Fin, et al.
Pubblicazione: (2024)

Multi-fidelity Hamiltonian Monte Carlo
di: Patel, Dhruv V., et al.
Pubblicazione: (2024)

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

How to integrate cloud service, data analytic and machine learning technique to reduce cyber risks associated with the modern cloud based infrastructure
di: Bhatta, Upakar
Pubblicazione: (2024)

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

Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing
di: Xie, Jiarui, et al.
Pubblicazione: (2024)

Separable Operator Networks
di: Yu, Xinling, et al.
Pubblicazione: (2024)