Continuous control with Stacked Deep Dynamic Recurrent Reinforcement Learning for portfolio optimization. - Amine Mohamed Aboussalah; Chi-Guhn Lee (Expert Syst. Appl., 2020)

A Deep Reinforcement Learning Framework for Column Generation. - Cheng Chi; Amine Mohamed Aboussalah; Elias B. Khalil; Juyoung Wang; Zoha Sherkat-Masoumi (NeurIPS, 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)

Recursive Time Series Data Augmentation. - Amine Mohamed Aboussalah; Min-Jae Kwon; Raj G. Patel; Cheng Chi; Chi-Guhn Lee (ICLR, 2023)

Gaussian Mixture Models Based Augmentation Enhances GNN Generalization. - Yassine Abbahaddou; Fragkiskos D. Malliaros; Johannes F. Lutzeyer; Amine Mohamed Aboussalah; Michalis Vazirgiannis (CoRR, 2024)

GeLoRA: Geometric Adaptive Ranks For Efficient LoRA Fine-tuning. - Abdessalam Ed-dib; Zhanibek Datbayev; Amine Mohamed Aboussalah (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)

The AI Black-Scholes: Finance-Informed Neural Network. - Amine Mohamed Aboussalah; Xuanze Li; Cheng Chi; Raj Patel (CoRR, 2024)

Are GNNs doomed by the topology of their input graph? - Amine Mohamed Aboussalah; Abdessalam Ed-dib (CoRR, 2025)

GeoHNNs: Geometric Hamiltonian Neural Networks. - Amine Mohamed Aboussalah; Abdessalam Ed-dib (CoRR, 2025)