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Main Authors:	Jarry, Gabriel, Very, Philippe, Dalmau, Ramon, Delahaye, Daniel, Houdant, Arthur
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2410.07727
Tags:	Add Tag No Tags, Be the first to tag this record!

A Neural ODE Approach to Aircraft Flight Dynamics Modelling
by: Jarry, Gabriel, et al.
Published: (2025)

Aircraft Fuel Flow Modelling with Ageing Effects: From Parametric Corrections to Neural Networks
by: Jarry, Gabriel, et al.
Published: (2025)

GVCCS: A Dataset for Contrail Identification and Tracking on Visible Whole Sky Camera Sequences
by: Jarry, Gabriel, et al.
Published: (2025)

Contrail-to-Flight Attribution Using Ground Visible Cameras and Flight Surveillance Data
by: Dalmau, Ramon, et al.
Published: (2025)

Robustness Assessment of a Runway Object Classifier for Safe Aircraft Taxiing
by: Elboher, Yizhak, et al.
Published: (2024)

Deep Autoregressive Models as Causal Inference Engines
by: Im, Daniel Jiwoong, et al.
Published: (2024)

Deep Sturm--Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
by: Vigouroux, David, et al.
Published: (2025)

Heterogeneous Vertiport Selection Optimization for On-Demand Air Taxi Services: A Deep Reinforcement Learning Approach
by: Pang, Aoyu, et al.
Published: (2026)

Aircraft Landing Time Prediction with Deep Learning on Trajectory Images
by: Huang, Liping, et al.
Published: (2024)

Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?)
by: Novello, Paul, et al.
Published: (2024)

One Size Fits None: Modeling NYC Taxi Trips
by: Eglinskas, Tomas
Published: (2025)

An Anytime Algorithm for Good Arm Identification
by: Jourdan, Marc, et al.
Published: (2023)

Few-Shot Learning for Dynamic Operations of Automated Electric Taxi Fleets under Evolving Charging Infrastructure: A Meta-Deep Reinforcement Learning Approach
by: Li, Xiaozhuang, et al.
Published: (2026)

Traffic-Aware Optimal Taxi Placement Using Graph Neural Network-Based Reinforcement Learning
by: Khetarpaul, Sonia, et al.
Published: (2026)

Bayesian Calibration of Engine-out NOx Models for Engine-to-Engine Transferability
by: Zinage, Shrenik, et al.
Published: (2025)

Event Detection in Time Series: Universal Deep Learning Approach
by: Azib, Menouar, et al.
Published: (2023)

EngineAD: A Real-World Vehicle Engine Anomaly Detection Dataset
by: Hojjati, Hadi, et al.
Published: (2026)

CROSS-Net: Region-Agnostic Taxi-Demand Prediction Using Feature Disentanglement
by: Ozeki, Ren, et al.
Published: (2023)

Learning Generative Models for Climbing Aircraft from Radar Data
by: Pepper, Nick, et al.
Published: (2023)

A Graph-Enhanced Deep-Reinforcement Learning Framework for the Aircraft Landing Problem
by: Maru, Vatsal
Published: (2025)

Privacy-Preserved Taxi Demand Prediction System Utilizing Distributed Data
by: Ozeki, Ren, et al.
Published: (2024)

General Machine Learning Models for Interpreting and Predicting Efficiency Degradation in Organic Solar Cells
by: Valiente, David, et al.
Published: (2024)

A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection
by: Lakey, Daniel, et al.
Published: (2024)

CleanCTG: A Deep Learning Model for Multi-Artefact Detection and Reconstruction in Cardiotocography
by: Wong, Sheng, et al.
Published: (2025)

From Trial to Deployment: A SEM Analysis of Traveler Adoptions to Fully Operational Autonomous Taxis
by: Cai, Yutong, et al.
Published: (2025)

Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty
by: Mossina, Luca, et al.
Published: (2024)

Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets
by: Jacot, Arthur
Published: (2025)

Transfer Learning in Bayesian Optimization for Aircraft Design
by: Tfaily, Ali, et al.
Published: (2026)

Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods
by: Novello, Paul, et al.
Published: (2024)

A Digital Twin for Diesel Engines: Operator-infused Physics-Informed Neural Networks with Transfer Learning for Engine Health Monitoring
by: Nath, Kamaljyoti, et al.
Published: (2024)

Onboard Out-of-Calibration Detection of Deep Learning Models using Conformal Prediction
by: Bhattacharjee, Protim, et al.
Published: (2024)

A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning
by: Juliani, Arthur, et al.
Published: (2024)

Kernel Single Proxy Control for Deterministic Confounding
by: Xu, Liyuan, et al.
Published: (2023)

Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
by: Xu, Liyuan, et al.
Published: (2021)

IoT Malware Network Traffic Detection using Deep Learning and GraphSAGE Models
by: Prajapati, Nikesh, et al.
Published: (2025)

Timescale Separation Enables Deep Reinforcement Learning Control of Rotating Detonation Engine Mode Transitions
by: Holme, Kristian, et al.
Published: (2026)

Uncertainty-Aware Deep Learning Framework for Remaining Useful Life Prediction in Turbofan Engines with Learned Aleatoric Uncertainty
by: Sharma, Krishang
Published: (2025)

Backdoor Attacks on Deep Learning Face Detection
by: Roux, Quentin Le, et al.
Published: (2025)

Unified Taxonomy for Multivariate Time Series Anomaly Detection using Deep Learning
by: Alves, Bruna, et al.
Published: (2026)

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