Alireza Pourali

According to our database, Alireza Pourali authored at least 6 papers between 2018 and 2026.

Collaborative distances:

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

2026

CAPE: Generalized Convergence Prediction Across Architectures Without Full Training.

Alireza Pourali, Arian Boukani, Hamzeh Khazaei

Trans. Mach. Learn. Res., 2026

ORION: Integrated Runtime Modelling for Predicting Deep Learning Training Time.

Alireza Pourali, Hamzeh Khazaei

Proceedings of the 17th ACM/SPEC International Conference on Performance Engineering, 2026

LTB 2026: 14th International Workshop on Load Testing and Benchmarking of Software Systems.

Alexander Podelko, Alireza Pourali, Kundi Yao

Proceedings of the Companion of the 17th ACM/SPEC International Conference on Performance Engineering, 2026

2025

PreNeT: Leveraging Computational Features to Predict Deep Neural Network Training Time.

Alireza Pourali, Arian Boukani, Hamzeh Khazaei

Proceedings of the 16th ACM/SPEC International Conference on Performance Engineering, 2025

2019

Neural embedding features for point-of-interest recommendation.

Alireza Pourali, Fattane Zarrinkalam, Ebrahim Bagheri

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Point-of-Interest Recommendation Using Heterogeneous Link Prediction.

Alireza Pourali, Fattane Zarrinkalam, Ebrahim Bagheri

Proceedings of the 21st International Conference on Extending Database Technology, 2018