Taha Ceritli - RankMe

23 papers A* 1Misc 2Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Clustering-driven Memory Compression for On-device Large Language Models. CoRR Ondrej Bohdal, Pramit Saha, Umberto Michieli, Mete Ozay, Taha Ceritli
2026	J	`jnl`	Data-driven Clustering and Merging of Adapters for On-device Large Language Models. CoRR Ondrej Bohdal, Taha Ceritli, Mete Ozay, Jijoong Moon, Kyeng-Hun Lee, Hyeonmok Ko, Umberto Michieli
2026	J	`jnl`	Diffusion Alignment Beyond KL: Variance Minimisation as Effective Policy Optimiser. CoRR Zijing Ou, Jacob Si, Junyi Zhu, Ondrej Bohdal, Mete Ozay, Taha Ceritli, Yingzhen Li
2025	Misc	`conf`	A Study of Improving The Privacy-Utility Trade-off of Task-specific Models with Learnable Privacy. ICASSP Savas Özkan, Taha Ceritli, Jeongwon Min, Eunchung Noh, Jung Min Cho, Dookun Park, Mete Ozay
2025	J	`jnl`	CG-TTRL: Context-Guided Test-Time Reinforcement Learning for On-Device Large Language Models. CoRR Peyman Hosseini, Ondrej Bohdal, Taha Ceritli, Ignacio Castro, Matthew Purver, Mete Ozay, Umberto Michieli
2025	A*	`conf`	HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging. EMNLP Taha Ceritli, Ondrej Bohdal, Mete Ozay, Jijoong Moon, Kyeng-Hun Lee, Hyeonmok Ko, Umberto Michieli
2025	J	`jnl`	HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging. CoRR Taha Ceritli, Ondrej Bohdal, Mete Ozay, Jijoong Moon, Kyeng-Hun Lee, Hyeonmok Ko, Umberto Michieli
2025	Misc	`conf`	Hyper-Refinement for Low-Rank Adaptation. ICASSP Savas Özkan, Taha Ceritli, Jeongwon Min, Eunchung Noh, Jung Min Cho, Dookun Park, Mete Ozay
2025	J	`jnl`	K-Merge: Online Continual Merging of Adapters for On-device Large Language Models. CoRR Donald Shenaj, Ondrej Bohdal, Taha Ceritli, Mete Ozay, Pietro Zanuttigh, Umberto Michieli
2025	J	`jnl`	MemLoRA: Distilling Expert Adapters for On-Device Memory Systems. CoRR Massimo Bini, Ondrej Bohdal, Umberto Michieli, Zeynep Akata, Mete Ozay, Taha Ceritli
2025	J	`jnl`	Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation. CoRR Junyi Zhu, Ruicong Yao, Taha Ceritli, Savas Özkan, Matthew B. Blaschko, Eunchung Noh, Jeongwon Min, Cho Jung Min, Mete Ozay
2024	—	`conf`	A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune. EMNLP (Findings) Taha Ceritli, Savas Özkan, Jeongwon Min, Eunchung Noh, Cho Min, Mete Ozay
2024	J	`jnl`	Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation. CoRR Grigory Malinovsky, Umberto Michieli, Hasan Abed Al Kader Hammoud, Taha Ceritli, Hayder Elesedy, Mete Ozay, Peter Richtárik
2023	J	`jnl`	AI Assistants: A Framework for Semi-Automated Data Wrangling. IEEE Trans. Knowl. Data Eng. Tomas Petricek, Gerrit J. J. van den Burg, Alfredo Nazábal, Taha Ceritli, Ernesto Jiménez-Ruiz, Christopher K. I. Williams
2023	J	`jnl`	Synthesizing Mixed-type Electronic Health Records using Diffusion Models. CoRR Taha Ceritli, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Tingting Zhu, Andrew P. Creagh, David A. Clifton
2022	J	`jnl`	AI Assistants: A Framework for Semi-Automated Data Wrangling. CoRR Tomas Petricek, Gerrit J. J. van den Burg, Alfredo Nazábal, Taha Ceritli, Ernesto Jiménez-Ruiz, Christopher K. I. Williams
2022	—	`conf`	Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. BHI Taha Ceritli, Andrew P. Creagh, David A. Clifton
2022	—	`conf`	Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. Healthcare AI and COVID-19 Workshop Taha Ceritli, Andrew P. Creagh, David A. Clifton
2022	J	`jnl`	Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. CoRR Taha Ceritli, Andrew P. Creagh, David A. Clifton
2021	J	`jnl`	Identifying the Units of Measurement in Tabular Data. CoRR Taha Ceritli, Christopher K. I. Williams
2021	J	`jnl`	ptype-cat: Inferring the Type and Values of Categorical Variables. CoRR Taha Ceritli, Christopher K. I. Williams
2020	J	`jnl`	ptype: probabilistic type inference. Data Min. Knowl. Discov. Taha Ceritli, Christopher K. I. Williams, James Geddes
2019	J	`jnl`	ptype: Probabilistic Type Inference. CoRR Taha Ceritli, Christopher K. I. Williams, James Geddes