Meghdad Kurmanji

20 papers A* 4A 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? AAAI Zexi Li, Xiangzhu Wang, William F. Shen, Meghdad Kurmanji, Xinchi Qiu, Dongqi Cai, Chao Wu, Nicholas D. Lane
2025	J	`jnl`	AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling. CoRR Preslav Aleksandrov, Meghdad Kurmanji, Fernando García-Redondo, David O'Shea, William F. Shen, Alex Iacob, Lorenzo Sani, Xinchi Qiu, Nicola Cancedda, Nicholas D. Lane
2025	J	`jnl`	Bridge the Gaps between Machine Unlearning and AI Regulation. CoRR Bill Marino, Meghdad Kurmanji, Nicholas D. Lane
2025	A*	`conf`	DEPT: Decoupled Embeddings for Pre-training Language Models. ICLR Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas Donald Lane
2025	J	`jnl`	DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models. CoRR Alex Iacob, Lorenzo Sani, Mher Safaryan, Paris Giampouras, Samuel Horváth, Andrej Jovanovic, Meghdad Kurmanji, Preslav Aleksandrov, William F. Shen, Xinchi Qiu, Nicholas D. Lane
2025	J	`jnl`	Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? CoRR Zexi Li, Xiangzhu Wang, William F. Shen, Meghdad Kurmanji, Xinchi Qiu, Dongqi Cai, Chao Wu, Nicholas D. Lane
2025	J	`jnl`	LUNAR: LLM Unlearning via Neural Activation Redirection. CoRR William F. Shen, Xinchi Qiu, Meghdad Kurmanji, Alex Iacob, Lorenzo Sani, Yihong Chen, Nicola Cancedda, Nicholas D. Lane
2025	J	`jnl`	MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates. CoRR Alex Iacob, Andrej Jovanovic, Mher Safaryan, Meghdad Kurmanji, Lorenzo Sani, Samuel Horváth, William F. Shen, Xinchi Qiu, Nicholas D. Lane
2024	J	`jnl`	Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition. CoRR Eleni Triantafillou, Peter Kairouz, Fabian Pedregosa, Jamie Hayes, Meghdad Kurmanji, Kairan Zhao, Vincent Dumoulin, Júlio C. S. Jacques Júnior, Ioannis Mitliagkas, Jun Wan, Lisheng Sun-Hosoya, Sergio Escalera, Gintare Karolina Dziugaite, Peter Triantafillou, Isabelle Guyon
2024	J	`jnl`	DEPT: Decoupled Embeddings for Pre-training Language Models. CoRR Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas D. Lane
2024	J	`jnl`	Machine Unlearning in Learned Databases: An Experimental Analysis. Proc. ACM Manag. Data Meghdad Kurmanji, Eleni Triantafillou, Peter Triantafillou
2024	A*	`conf`	What makes unlearning hard and what to do about it. NeurIPS Kairan Zhao, Meghdad Kurmanji, George-Octavian Barbulescu, Eleni Triantafillou, Peter Triantafillou
2024	J	`jnl`	What makes unlearning hard and what to do about it. CoRR Kairan Zhao, Meghdad Kurmanji, George-Octavian Barbulescu, Eleni Triantafillou, Peter Triantafillou
2023	J	`jnl`	Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data. Proc. ACM Manag. Data Meghdad Kurmanji, Peter Triantafillou
2023	J	`jnl`	Machine Unlearning in Learned Databases: An Experimental Analysis. CoRR Meghdad Kurmanji, Eleni Triantafillou, Peter Triantafillou
2023	A*	`conf`	Towards Unbounded Machine Unlearning. NeurIPS Meghdad Kurmanji, Peter Triantafillou, Jamie Hayes, Eleni Triantafillou
2023	J	`jnl`	Towards Unbounded Machine Unlearning. CoRR Meghdad Kurmanji, Peter Triantafillou, Eleni Triantafillou
2022	J	`jnl`	Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data. CoRR Meghdad Kurmanji, Peter Triantafillou
2021	A	`conf`	Learned Approximate Query Processing: Make it Light, Accurate and Fast. CIDR Qingzhi Ma, Ali Mohammadi Shanghooshabad, Mehrdad Almasi, Meghdad Kurmanji, Peter Triantafillou
2021	—	`conf`	PGMJoins: Random Join Sampling with Graphical Models. SIGMOD Conference Ali Mohammadi Shanghooshabad, Meghdad Kurmanji, Qingzhi Ma, Michael Shekelyan, Mehrdad Almasi, Peter Triantafillou