Amine Mohamed Aboussalah

According to our database, Amine Mohamed Aboussalah authored at least 10 papers between 2020 and 2025.

Collaborative distances:

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

2025

GeoHNNs: Geometric Hamiltonian Neural Networks.

Amine Mohamed Aboussalah, Abdessalam Ed-dib

CoRR, July, 2025

Are GNNs doomed by the topology of their input graph?

Amine Mohamed Aboussalah, Abdessalam Ed-dib

CoRR, February, 2025

2024

The AI Black-Scholes: Finance-Informed Neural Network.

Amine Mohamed Aboussalah, Xuanze Li, Cheng Chi, Raj Patel

CoRR, 2024

Grassmannian Geometry Meets Dynamic Mode Decomposition in DMD-GEN: A New Metric for Mode Collapse in Time Series Generative Models.

Amine Mohamed Aboussalah, Yassine Abbahaddou

CoRR, 2024

GeLoRA: Geometric Adaptive Ranks For Efficient LoRA Fine-tuning.

Abdessalam Ed-dib, Zhanibek Datbayev, Amine Mohamed Aboussalah

CoRR, 2024

Gaussian Mixture Models Based Augmentation Enhances GNN Generalization.

Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Amine Mohamed Aboussalah, Michalis Vazirgiannis

CoRR, 2024

2023

Recursive Time Series Data Augmentation.

Amine Mohamed Aboussalah, Min-Jae Kwon, Raj G. Patel, Cheng Chi, Chi-Guhn Lee

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Don't overfit the history - Recursive time series data augmentation.

Amine Mohamed Aboussalah, Min-Jae Kwon, Raj G. Patel, Cheng Chi, Chi-Guhn Lee

CoRR, 2022

A Deep Reinforcement Learning Framework for Column Generation.

Cheng Chi, Amine Mohamed Aboussalah, Elias B. Khalil, Juyoung Wang, Zoha Sherkat-Masoumi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Continuous control with Stacked Deep Dynamic Recurrent Reinforcement Learning for portfolio optimization.

Amine Mohamed Aboussalah, Chi-Guhn Lee

Expert Syst. Appl., 2020