The Concordia NLG Surface Realizer at SRST 2019. - Farhood Farahnak; Laya Rafiee; Leila Kosseim; Thomas Fevens (MSR@EMNLP-IJCNLP, 2019)

Unsupervised Anomaly Detection with a GAN Augmented Autoencoder. - Laya Rafiee; Thomas Fevens (ICANN (1), 2020)

on the effectiveness of generative adversarial network on anomaly detection. - Laya Rafiee Sevyeri; Thomas Fevens (CoRR, 2021)

AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. - Farshid Varno; Marzie Saghayi; Laya Rafiee Sevyeri; Sharut Gupta; Stan Matwin; Mohammad Havaei (ECCV (23), 2022)

AD-CGAN: Contrastive Generative Adversarial Network for Anomaly Detection. - Laya Rafiee Sevyeri; Thomas Fevens (ICIAP (1), 2022)

Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. - Farshid Varno; Marzie Saghayi; Laya Rafiee; Sharut Gupta; Stan Matwin; Mohammad Havaei (CoRR, 2022)

Source-free Domain Adaptation Requires Penalized Diversity. - Laya Rafiee Sevyeri; Ivaxi Sheth; Farhood Farahnak; Alexandre See; Samira Ebrahimi Kahou; Thomas Fevens; Mohammad Havaei (CoRR, 2023)

Transparent Anomaly Detection via Concept-based Explanations. - Laya Rafiee Sevyeri; Ivaxi Sheth; Farhood Farahnak; Shirin Abbasinejad Enger (CoRR, 2023)