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Philippe Very

6 papers hereh-index 319 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CV2

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2025

A Neural ODE Approach to Aircraft Flight Dynamics Modelling

Gabriel Jarry, Ramon Dalmau, Xavier Olive +1

Accurate aircraft trajectory prediction is critical for air traffic management, airline operations, and environmental assessment. This paper introduces NODE-FDM, a Neural Ordinary…

cs.LG2025

Aircraft Fuel Flow Modelling with Ageing Effects: From Parametric Corrections to Neural Networks

Gabriel Jarry, Ramon Dalmau, Philippe Very +1

Accurate modelling of aircraft fuel-flow is crucial for both operational planning and environmental impact assessment, yet standard parametric models often neglect performance dete…

cs.LG2024

On the Detection of Aircraft Single Engine Taxi using Deep Learning Models

Gabriel Jarry, Philippe Very, Ramon Dalmau +2

The aviation industry is vital for global transportation but faces increasing pressure to reduce its environmental footprint, particularly CO2 emissions from ground operations such…

cs.LG2024

On the Generalization Properties of Deep Learning for Aircraft Fuel Flow Estimation Models

Gabriel Jarry, Ramon Dalmau, Philippe Very +1

Accurately estimating aircraft fuel flow is essential for evaluating new procedures, designing next-generation aircraft, and monitoring the environmental impact of current aviation…

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