Meghdad Kurmanji

According to our database, Meghdad Kurmanji authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, July, 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, May, 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, Chao Wu, Nicholas D. Lane

CoRR, May, 2025

Bridge the Gaps between Machine Unlearning and AI Regulation.

Bill Marino, Meghdad Kurmanji, Nicholas D. Lane

CoRR, February, 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, February, 2025

DEPT: Decoupled Embeddings for Pre-training Language Models.

Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas Donald Lane

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Machine Unlearning in Learned Databases: An Experimental Analysis.

Meghdad Kurmanji, Eleni Triantafillou, Peter Triantafillou

Proc. ACM Manag. Data, February, 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, Lisheng Sun-Hosoya, Sergio Escalera, Gintare Karolina Dziugaite, Peter Triantafillou, Isabelle Guyon

CoRR, 2024

What makes unlearning hard and what to do about it.

Kairan Zhao, Meghdad Kurmanji, George-Octavian Barbulescu, Eleni Triantafillou, Peter Triantafillou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data.

Meghdad Kurmanji, Peter Triantafillou

Proc. ACM Manag. Data, 2023

Towards Unbounded Machine Unlearning.

Meghdad Kurmanji, Peter Triantafillou, Eleni Triantafillou

CoRR, 2023

Towards Unbounded Machine Unlearning.

Meghdad Kurmanji, Peter Triantafillou, Jamie Hayes, Eleni Triantafillou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

PGMJoins: Random Join Sampling with Graphical Models.

Ali Mohammadi Shanghooshabad, Meghdad Kurmanji, Qingzhi Ma, Michael Shekelyan, Mehrdad Almasi, Peter Triantafillou

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Learned Approximate Query Processing: Make it Light, Accurate and Fast.

Qingzhi Ma, Ali Mohammadi Shanghooshabad, Mehrdad Almasi, Meghdad Kurmanji, Peter Triantafillou

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021