Alan A. Lahoud

According to our database, Alan A. Lahoud authored at least 5 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning.

Rahel Rickenbach, Alan A. Lahoud, Erik Schaffernicht, Melanie N. Zeilinger, Johannes A. Stork

CoRR, July, 2025

Predict-and-Optimize Techniques for Data-Driven Optimization Problems: A Review.

Alan A. Lahoud, Ahmad Saeed Khan, Erik Schaffernicht, Marco Trincavelli, Johannes Andreas Stork

Neural Process. Lett., April, 2025

Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems.

Alan A. Lahoud, Erik Schaffernicht, Johannes Andreas Stork

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context.

Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks.

Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024