Exact Post-selection Inference For Tracking S&P500. - Farshad Noravesh; Hamid Boustanifar (CoRR, 2021)

Some connections between higher moments portfolio optimization methods. - Farshad Noravesh; Kristiaan Kerstens (CoRR, 2022)

Sparse Non-Convex Optimization For Higher Moment Portfolio Management. - Farshad Noravesh (CoRR, 2022)

Finding Many Sparse Cuts Using Entropy Maximization. - Farshad Noravesh (CoRR, 2022)

A Bayesian Approach To Graph Partitioning. - Farshad Noravesh (CoRR, 2022)

Semantic Operator Prediction and Applications. - Farshad Noravesh (CoRR, 2023)

Semantic Tagging with LSTM-CRF. - Farshad Noravesh (CoRR, 2023)

Transferring Neural Potentials For High Order Dependency Parsing. - Farshad Noravesh (CoRR, 2023)

BioNCERE: Non-Contrastive Enhancement For Relation Extraction In Biomedical Texts. - Farshad Noravesh (CoRR, 2024)

Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks. - Farshad Noravesh; Reza Haffari; Ong Huey Fang; Lay-Ki Soon; Sailaja Rajalana; Arghya Pal (CoRR, 2025)

LGRPool: Hierarchical Graph Pooling Via Local-Global Regularisation. - Farshad Noravesh; Reza Haffari; Lay-Ki Soon; Arghya Pal (CoRR, 2025)

GSAT: Graph Structure Attention Networks. - Farshad Noravesh; Reza Haffari; Lay-Ki Soon; Arghya Pal (CoRR, 2025)