Guardado en:
| Autores principales: | Malek, Kourosh, Dreger, Max, Tang, Zirui, Tu, Qingshi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2405.10235 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Guidelines for the Creation of Analysis Ready Data
por: Phillips, Harriette, et al.
Publicado: (2024)
por: Phillips, Harriette, et al.
Publicado: (2024)
ParquetDB: A Lightweight Python Parquet-Based Database
por: Lang, Logan, et al.
Publicado: (2025)
por: Lang, Logan, et al.
Publicado: (2025)
XASDB -- Design and Implementation of an Open-Access Spectral Database
por: Spasyuk, Denis
Publicado: (2025)
por: Spasyuk, Denis
Publicado: (2025)
Workflows and Principles for Collaboration and Communication in Battery Research
por: Kuhn, Yannick, et al.
Publicado: (2025)
por: Kuhn, Yannick, et al.
Publicado: (2025)
Lost Data in Electron Microscopy
por: Ivanova, Nina M., et al.
Publicado: (2025)
por: Ivanova, Nina M., et al.
Publicado: (2025)
Adiabatic Approximation of Coarse Grained Second Order Response
por: Müller, Fenna, et al.
Publicado: (2022)
por: Müller, Fenna, et al.
Publicado: (2022)
Mapping Inter-City Trade Networks to Maximum Entropy Models using Electronic Invoice Data
por: Filho, Cesar I. N. Sampaio, et al.
Publicado: (2024)
por: Filho, Cesar I. N. Sampaio, et al.
Publicado: (2024)
Extension of the Langevin power curve analysis by separation per operational state
por: Wiedemann, Christian, et al.
Publicado: (2023)
por: Wiedemann, Christian, et al.
Publicado: (2023)
High-Performance Data Format for Scientific Data Storage and Analysis
por: Gavalian, Gagik
Publicado: (2025)
por: Gavalian, Gagik
Publicado: (2025)
A Unified Framework for Structured Flow Modeling: From Continuous Fields to Data-Driven Representations
por: Casadei, Diego
Publicado: (2026)
por: Casadei, Diego
Publicado: (2026)
OASIS: A Deep Learning Framework for Universal Spectroscopic Analysis Driven by Novel Loss Functions
por: Young, Chris, et al.
Publicado: (2025)
por: Young, Chris, et al.
Publicado: (2025)
A Bayesian Framework to Investigate Radiation Reaction in Strong Fields
por: Los, E. E., et al.
Publicado: (2024)
por: Los, E. E., et al.
Publicado: (2024)
Investigation of Thermodynamic Properties of Classical Oscillators Under Statistical and Superstatistical Frameworks
por: Wang, Huilin
Publicado: (2025)
por: Wang, Huilin
Publicado: (2025)
Exploring the Statistical Properties of Outputs from a Process Inspired by Geometrical Interpretation of Newton's Method
por: Kirouani, Taki
Publicado: (2024)
por: Kirouani, Taki
Publicado: (2024)
Uncertainties in ROC (Receiver Operating Characteristic) Curves Derived from Counting Data
por: Fewell, M. P.
Publicado: (2024)
por: Fewell, M. P.
Publicado: (2024)
Eigenvalue Distribution of Empirical Correlation Matrices for Multiscale Complex Systems and Application to Financial Data
por: de Moraes, Luan M. T., et al.
Publicado: (2025)
por: de Moraes, Luan M. T., et al.
Publicado: (2025)
Data-driven assessment of optimal spatiotemporal resolutions for information extraction in noisy time series data
por: Doria, Domiziano, et al.
Publicado: (2024)
por: Doria, Domiziano, et al.
Publicado: (2024)
Novel computational approaches for ratio distributions with an application to Hake's ratio in effect size measurement
por: Hanč, Jozef, et al.
Publicado: (2024)
por: Hanč, Jozef, et al.
Publicado: (2024)
"Layer-by-layer" Unsupervised Clustering of Statistically Relevant Fluctuations in Noisy Time-series Data of Complex Dynamical Systems
por: Becchi, Matteo, et al.
Publicado: (2024)
por: Becchi, Matteo, et al.
Publicado: (2024)
Predictability Analysis and Prediction of Discrete Weather and Financial Time-Series Data with a Hamiltonian-Based Filter-Projection Approach
por: Kiefer, Henrik, et al.
Publicado: (2024)
por: Kiefer, Henrik, et al.
Publicado: (2024)
Mesoscopic Bayesian Inference by Solvable Models
por: Katakami, Shun, et al.
Publicado: (2024)
por: Katakami, Shun, et al.
Publicado: (2024)
Elephant random walks with graph based shared memory: First and second order asymptotics
por: Das, Deborshi
Publicado: (2024)
por: Das, Deborshi
Publicado: (2024)
On the dynamical evolution of randomness Part A: Random experiments as dynamical systems
por: Lobo, Allen, et al.
Publicado: (2025)
por: Lobo, Allen, et al.
Publicado: (2025)
On the dynamical evolution of randomness Part B: Geometrisation and the origin of convergence in LLN
por: Lobo, Allen
Publicado: (2025)
por: Lobo, Allen
Publicado: (2025)
Transition of AI Models in dependence of noise
por: Seidler, Thomas, et al.
Publicado: (2025)
por: Seidler, Thomas, et al.
Publicado: (2025)
Deep Learning of the Biswas-Chatterjee-Sen Model
por: Neto, J. F. Silva, et al.
Publicado: (2025)
por: Neto, J. F. Silva, et al.
Publicado: (2025)
Model-based and empirical analyses of stochastic fluctuations in economy and finance
por: Zadourian, Rubina
Publicado: (2024)
por: Zadourian, Rubina
Publicado: (2024)
A General Solution for Network Models with Pairwise Edge Coupling
por: Catanzaro, Alessio, et al.
Publicado: (2025)
por: Catanzaro, Alessio, et al.
Publicado: (2025)
Quantifying the irregularity of a time series
por: Potratzki, Max, et al.
Publicado: (2025)
por: Potratzki, Max, et al.
Publicado: (2025)
Building a Life Cycle Assessment Model using Bayesian Networks
por: Gasmi, Cedric Fraces, et al.
Publicado: (2024)
por: Gasmi, Cedric Fraces, et al.
Publicado: (2024)
Error Breakdown and Sensitivity Analysis of Dynamical Quantities in Markov State Models
por: Tuchkov, Yehor, et al.
Publicado: (2025)
por: Tuchkov, Yehor, et al.
Publicado: (2025)
Model selection for extremal dependence structures using deep learning: Application to environmental data
por: Ahmed, Manaf, et al.
Publicado: (2024)
por: Ahmed, Manaf, et al.
Publicado: (2024)
Memory Effects, Multiple Time Scales and Local Stability in Langevin Models of the S&P500 Market Correlation
por: Wand, Tobias, et al.
Publicado: (2023)
por: Wand, Tobias, et al.
Publicado: (2023)
Identification of the parameters of complex constitutive models: Least squares minimization vs. Bayesian updating
por: Most, Thomas
Publicado: (2024)
por: Most, Thomas
Publicado: (2024)
TPCpp-10M: Simulated proton-proton collisions in a Time Projection Chamber for AI Foundation Models
por: Li, Shuhang, et al.
Publicado: (2025)
por: Li, Shuhang, et al.
Publicado: (2025)
Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers
por: Schmid, Jonas M., et al.
Publicado: (2026)
por: Schmid, Jonas M., et al.
Publicado: (2026)
A Tutorial on Bayesian Analysis of Linear Shock Compression Data
por: Bernstein, Jason, et al.
Publicado: (2026)
por: Bernstein, Jason, et al.
Publicado: (2026)
Ensemble-Based Data Assimilation for Material Model Characterization in High-Velocity Impact
por: Jin, Rong, et al.
Publicado: (2025)
por: Jin, Rong, et al.
Publicado: (2025)
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
por: Sundaram, Aravindan Kamatchi, et al.
Publicado: (2026)
por: Sundaram, Aravindan Kamatchi, et al.
Publicado: (2026)
Neural Thermodynamic Laws for Large Language Model Training
por: Liu, Ziming, et al.
Publicado: (2025)
por: Liu, Ziming, et al.
Publicado: (2025)
Ejemplares similares
-
Guidelines for the Creation of Analysis Ready Data
por: Phillips, Harriette, et al.
Publicado: (2024) -
ParquetDB: A Lightweight Python Parquet-Based Database
por: Lang, Logan, et al.
Publicado: (2025) -
XASDB -- Design and Implementation of an Open-Access Spectral Database
por: Spasyuk, Denis
Publicado: (2025) -
Workflows and Principles for Collaboration and Communication in Battery Research
por: Kuhn, Yannick, et al.
Publicado: (2025) -
Lost Data in Electron Microscopy
por: Ivanova, Nina M., et al.
Publicado: (2025)