Learning Generative Models for Climbing Aircraft from Radar Data
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Pepper, Nick, Thomas, Marc |
|---|---|
| Format: | Preprint |
| Publié: |
2023
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Conditioning Aircraft Trajectory Prediction on Meteorological Data with a Physics-Informed Machine Learning Approach
par: Hodgkin, Amy, et autres
Publié: (2026)
par: Hodgkin, Amy, et autres
Publié: (2026)
Probabilistic Simulation of Aircraft Descent via a Physics-Informed Machine Learning Approach
par: Hodgkin, Amy, et autres
Publié: (2025)
par: Hodgkin, Amy, et autres
Publié: (2025)
Hypernetwork-Conditioned Reinforcement Learning for Robust Control of Fixed-Wing Aircraft under Actuator Failures
par: Marquis, Dennis, et autres
Publié: (2026)
par: Marquis, Dennis, et autres
Publié: (2026)
BUILDA: A Thermal Building Data Generation Framework for Transfer Learning
par: Krug, Thomas, et autres
Publié: (2025)
par: Krug, Thomas, et autres
Publié: (2025)
Multi-Target Radar Search and Track Using Sequence-Capable Deep Reinforcement Learning
par: Ewers, Jan-Hendrik, et autres
Publié: (2025)
par: Ewers, Jan-Hendrik, et autres
Publié: (2025)
Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes
par: Ewering, Jan-Hendrik, et autres
Publié: (2025)
par: Ewering, Jan-Hendrik, et autres
Publié: (2025)
BuilDyn: Excitation-Driven Data Generation for Building Thermal Dynamics Modeling and Control
par: Koch, Felix, et autres
Publié: (2026)
par: Koch, Felix, et autres
Publié: (2026)
GenTL: A General Transfer Learning Model for Building Thermal Dynamics
par: Raisch, Fabian, et autres
Publié: (2025)
par: Raisch, Fabian, et autres
Publié: (2025)
An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Data
par: Sever, Gulay Goktas, et autres
Publié: (2023)
par: Sever, Gulay Goktas, et autres
Publié: (2023)
A Graph-Enhanced Deep-Reinforcement Learning Framework for the Aircraft Landing Problem
par: Maru, Vatsal
Publié: (2025)
par: Maru, Vatsal
Publié: (2025)
A Highly Configurable Framework for Large-Scale Thermal Building Data Generation to drive Machine Learning Research
par: Krug, Thomas, et autres
Publié: (2025)
par: Krug, Thomas, et autres
Publié: (2025)
Benchmarking M-LTSF: Frequency and Noise-Based Evaluation of Multivariate Long Time Series Forecasting Models
par: Janssen, Nick, et autres
Publié: (2025)
par: Janssen, Nick, et autres
Publié: (2025)
CNN-based Compressor Mass Flow Estimator in Industrial Aircraft Vapor Cycle System
par: Reverdi, Justin, et autres
Publié: (2024)
par: Reverdi, Justin, et autres
Publié: (2024)
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data
par: Zhang, Thomas T. C. K., et autres
Publié: (2023)
par: Zhang, Thomas T. C. K., et autres
Publié: (2023)
Learning Linearized Models from Nonlinear Systems under Initialization Constraints with Finite Data
par: Xin, Lei, et autres
Publié: (2025)
par: Xin, Lei, et autres
Publié: (2025)
Heat Death of Generative Models in Closed-Loop Learning
par: Marchi, Matteo, et autres
Publié: (2024)
par: Marchi, Matteo, et autres
Publié: (2024)
Fault Detection in New Wind Turbines with Limited Data by Generative Transfer Learning
par: Jonas, Stefan, et autres
Publié: (2025)
par: Jonas, Stefan, et autres
Publié: (2025)
Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents
par: Banker, Thomas, et autres
Publié: (2025)
par: Banker, Thomas, et autres
Publié: (2025)
eVTOL Aircraft Energy Overhead Estimation under Conflict Resolution in High-Density Airspaces
par: Zongo, Alex, et autres
Publié: (2026)
par: Zongo, Alex, et autres
Publié: (2026)
When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data Filter
par: Li, Yansong, et autres
Publié: (2024)
par: Li, Yansong, et autres
Publié: (2024)
Synthetic Data Generation for Minimum-Exposure Navigation in a Time-Varying Environment using Generative AI Models
par: Bapat, Nachiket U., et autres
Publié: (2025)
par: Bapat, Nachiket U., et autres
Publié: (2025)
Optimal Constant Climb Airspeed with Variable Cost Index for All-electric Aircraft
par: Silva, Lucas Souza e, et autres
Publié: (2024)
par: Silva, Lucas Souza e, et autres
Publié: (2024)
Efficient Controller Learning from Human Preferences and Numerical Data Via Multi-Modal Surrogate Models
par: Theiner, Lukas, et autres
Publié: (2026)
par: Theiner, Lukas, et autres
Publié: (2026)
Learning a Class of Mixed Linear Regressions: Global Convergence under General Data Conditions
par: Liu, Yujing, et autres
Publié: (2025)
par: Liu, Yujing, et autres
Publié: (2025)
EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion Models
par: Lin, Nan, et autres
Publié: (2024)
par: Lin, Nan, et autres
Publié: (2024)
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
par: Zhang, Thomas T., et autres
Publié: (2024)
par: Zhang, Thomas T., et autres
Publié: (2024)
Generalizable Machine Learning Models for Predicting Data Center Server Power, Efficiency, and Throughput
par: Lei, Nuoa, et autres
Publié: (2025)
par: Lei, Nuoa, et autres
Publié: (2025)
Learning Dynamical Systems by Leveraging Data from Similar Systems
par: Xin, Lei, et autres
Publié: (2023)
par: Xin, Lei, et autres
Publié: (2023)
SmartMeterFM: Unifying Smart Meter Data Generative Tasks Using Flow Matching Models
par: Lin, Nan, et autres
Publié: (2026)
par: Lin, Nan, et autres
Publié: (2026)
From Big Data to Fast Data: Towards High-Quality Datasets for Machine Learning Applications from Closed-Loop Data Collection
par: Reis, Philipp, et autres
Publié: (2026)
par: Reis, Philipp, et autres
Publié: (2026)
Anomaly Detection with Machine Learning Algorithms in Large-Scale Power Grids
par: Gillioz, Marc, et autres
Publié: (2026)
par: Gillioz, Marc, et autres
Publié: (2026)
Fast Surrogate Models for Adaptive Aircraft Trajectory Prediction in En route Airspace
par: Pepper, Nick, et autres
Publié: (2026)
par: Pepper, Nick, et autres
Publié: (2026)
Interpretable Physics Extraction from Data for Linear Dynamical Systems using Lie Generator Networks
par: Jamil, Shafayeth, et autres
Publié: (2026)
par: Jamil, Shafayeth, et autres
Publié: (2026)
Generative Design for Direct-to-Chip Liquid Cooling for Data Centers
par: Liu, Zheng
Publié: (2026)
par: Liu, Zheng
Publié: (2026)
Naga: Vedic Encoding for Deep State Space Models
par: Schaller, Melanie, et autres
Publié: (2025)
par: Schaller, Melanie, et autres
Publié: (2025)
Dictionary-Learning-Based Data Pruning for System Identification
par: Wang, Tingna, et autres
Publié: (2025)
par: Wang, Tingna, et autres
Publié: (2025)
Uncertainty Quantification for Data-Driven Machine Learning Models in Nuclear Engineering Applications: Where We Are and What Do We Need?
par: Wu, Xu, et autres
Publié: (2025)
par: Wu, Xu, et autres
Publié: (2025)
Learning the Optimal Power Flow: Environment Design Matters
par: Wolgast, Thomas, et autres
Publié: (2024)
par: Wolgast, Thomas, et autres
Publié: (2024)
Symmetric Linear Dynamical Systems are Learnable from Few Observations
par: Vu, Minh, et autres
Publié: (2025)
par: Vu, Minh, et autres
Publié: (2025)
Koopman Data-Driven Predictive Control with Robust Stability and Recursive Feasibility Guarantees
par: de Jong, Thomas, et autres
Publié: (2024)
par: de Jong, Thomas, et autres
Publié: (2024)
Documents similaires
-
Conditioning Aircraft Trajectory Prediction on Meteorological Data with a Physics-Informed Machine Learning Approach
par: Hodgkin, Amy, et autres
Publié: (2026) -
Probabilistic Simulation of Aircraft Descent via a Physics-Informed Machine Learning Approach
par: Hodgkin, Amy, et autres
Publié: (2025) -
Hypernetwork-Conditioned Reinforcement Learning for Robust Control of Fixed-Wing Aircraft under Actuator Failures
par: Marquis, Dennis, et autres
Publié: (2026) -
BUILDA: A Thermal Building Data Generation Framework for Transfer Learning
par: Krug, Thomas, et autres
Publié: (2025) -
Multi-Target Radar Search and Track Using Sequence-Capable Deep Reinforcement Learning
par: Ewers, Jan-Hendrik, et autres
Publié: (2025)