Learned Approximate Query Processing: Make it Light, Accurate and Fast. - Qingzhi Ma; Ali Mohammadi Shanghooshabad; Mehrdad Almasi 001; Meghdad Kurmanji; Peter Triantafillou (CIDR, 2021)

PGMJoins: Random Join Sampling with Graphical Models. - Ali Mohammadi Shanghooshabad; Meghdad Kurmanji; Qingzhi Ma; Michael Shekelyan; Mehrdad Almasi 001; Peter Triantafillou (SIGMOD Conference, 2021)

Towards Unbounded Machine Unlearning. - Meghdad Kurmanji; Peter Triantafillou; Jamie Hayes; Eleni Triantafillou (NeurIPS, 2023)

Towards Unbounded Machine Unlearning. - Meghdad Kurmanji; Peter Triantafillou; Eleni Triantafillou (CoRR, 2023)

Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data. - Meghdad Kurmanji; Peter Triantafillou (Proc. ACM Manag. Data, 2023)

What makes unlearning hard and what to do about it. - Kairan Zhao; Meghdad Kurmanji; George-Octavian Barbulescu; Eleni Triantafillou; Peter Triantafillou (NeurIPS, 2024)

Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition. - Eleni Triantafillou; Peter Kairouz; Fabian Pedregosa; Jamie Hayes; Meghdad Kurmanji; Kairan Zhao; Vincent Dumoulin; Júlio C. S. Jacques Júnior; Ioannis Mitliagkas; Jun Wan 001; Lisheng Sun-Hosoya; Sergio Escalera; et al. (CoRR, 2024)

Machine Unlearning in Learned Databases: An Experimental Analysis. - Meghdad Kurmanji; Eleni Triantafillou; Peter Triantafillou (Proc. ACM Manag. Data, 2024)

DEPT: Decoupled Embeddings for Pre-training Language Models. - Alex Iacob; Lorenzo Sani; Meghdad Kurmanji; William F. Shen; Xinchi Qiu; Dongqi Cai 001; Yan Gao 016; Nicholas Donald Lane (ICLR, 2025)

LUNAR: LLM Unlearning via Neural Activation Redirection. - William F. Shen; Xinchi Qiu; Meghdad Kurmanji; Alex Iacob; Lorenzo Sani; Yihong Chen; Nicola Cancedda; Nicholas D. Lane (CoRR, 2025)

Bridge the Gaps between Machine Unlearning and AI Regulation. - Bill Marino; Meghdad Kurmanji; Nicholas D. Lane (CoRR, 2025)

Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? - Zexi Li; Xiangzhu Wang; William F. Shen; Meghdad Kurmanji; Xinchi Qiu; Dongqi Cai 001; Chao Wu; Nicholas D. Lane (CoRR, 2025)

DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models. - Alex Iacob; Lorenzo Sani; Mher Safaryan; Paris Giampouras; Samuel Horváth; Andrej Jovanovic; Meghdad Kurmanji; Preslav Aleksandrov; William F. Shen; Xinchi Qiu; Nicholas D. Lane (CoRR, 2025)

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling. - Preslav Aleksandrov; Meghdad Kurmanji; Fernando García-Redondo; David O'Shea; William F. Shen; Alex Iacob; Lorenzo Sani; Xinchi Qiu; Nicola Cancedda; Nicholas D. Lane (CoRR, 2025)

MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates. - Alex Iacob; Andrej Jovanovic; Mher Safaryan; Meghdad Kurmanji; Lorenzo Sani; Samuel Horváth; William F. Shen; Xinchi Qiu; Nicholas D. Lane (CoRR, 2025)