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cs.AI2026
Inferring Missing Trajectory Data with Temporal Convolutional Networks
Ilinca Tiriblecea, Gabriel Turinici
Trajectory data collected in real-world settings is frequently incomplete due to sensor failure, communication loss, or occlusion. We address the task of \emph{trajectory inpaintin…
physics.comp-ph2026
Physics-Informed Neural Networks for coupled stiff transport systems
Laetitia Laguzet, Gabriel Turinici
Purpose: Physics-Informed Neural Networks (PINNs) struggle with stiff, regime-changing transport equations due to instability, loss imbalance, and violations of physical consistenc…