ptype: probabilistic type inference. - Taha Ceritli; Christopher K. I. Williams; James Geddes (Data Min. Knowl. Discov., 2020)

ptype-cat: Inferring the Type and Values of Categorical Variables. - Taha Ceritli; Christopher K. I. Williams (CoRR, 2021)

Identifying the Units of Measurement in Tabular Data. - Taha Ceritli; Christopher K. I. Williams (CoRR, 2021)

Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. - Taha Ceritli; Andrew P. Creagh; David A. Clifton (BHI, 2022)

Synthesizing Mixed-type Electronic Health Records using Diffusion Models. - Taha Ceritli; Ghadeer O. Ghosheh; Vinod Kumar Chauhan; Tingting Zhu 001; Andrew P. Creagh; David A. Clifton (CoRR, 2023)

AI Assistants: A Framework for Semi-Automated Data Wrangling. - Tomas Petricek 001; Gerrit J. J. van den Burg; Alfredo Nazábal; Taha Ceritli; Ernesto Jiménez-Ruiz; Christopher K. I. Williams (IEEE Trans. Knowl. Data Eng., 2023)

A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune. - Taha Ceritli; Savas Özkan; Jeongwon Min; Eunchung Noh; Cho Min; Mete Ozay (EMNLP (Findings), 2024)

Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation. - Grigory Malinovsky; Umberto Michieli; Hasan Abed Al Kader Hammoud; Taha Ceritli; Hayder Elesedy; Mete Ozay; Peter Richtárik (CoRR, 2024)

A Study of Improving The Privacy-Utility Trade-off of Task-specific Models with Learnable Privacy. - Savas Özkan; Taha Ceritli; Jeongwon Min; Eunchung Noh; Jung Min Cho; Dookun Park; Mete Ozay (ICASSP, 2025)

Hyper-Refinement for Low-Rank Adaptation. - Savas Özkan; Taha Ceritli; Jeongwon Min; Eunchung Noh; Jung Min Cho; Dookun Park; Mete Ozay (ICASSP, 2025)

Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation. - Junyi Zhu 002; Ruicong Yao; Taha Ceritli; Savas Özkan; Matthew B. Blaschko; Eunchung Noh; Jeongwon Min; Cho Jung Min; Mete Ozay (CoRR, 2025)

HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging. - Taha Ceritli; Ondrej Bohdal; Mete Ozay; Jijoong Moon; Kyeng-Hun Lee; Hyeonmok Ko; Umberto Michieli (CoRR, 2025)