Linguistic differences in explanation requests and their effects on the evaluation of explanations: the case of English and Turkish. - Melih Barsbey; Tania Lombrozo (CogSci, 2013)

Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns. - Ali Taylan Cemgil; Mehmet Burak Kurutmaz; Sinan Yildirim; Melih Barsbey; Umut Simsekli (CoRR, 2019)

Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks. - Melih Barsbey; Milad Sefidgaran; Murat A. Erdogdu; Gaël Richard; Umut Simsekli (NeurIPS, 2021)

Bayesian Allocation Model: Marginal Likelihood-Based Model Selection for Count Tensors. - Sinan Yildirim; M. Burak Kurutmaz; Melih Barsbey; Umut Simsekli; A. Taylan Cemgil (IEEE J. Sel. Top. Signal Process., 2021)

Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares. - Anant Raj; Melih Barsbey; Mert Gürbüzbalaban; Lingjiong Zhu; Umut Simsekli (ALT, 2023)

Modeling Hierarchical Seasonality Through Low-Rank Tensor Decompositions in Time Series Analysis. - Melih Barsbey; Ali Taylan Cemgil (IEEE Access, 2023)

Evaluating AI systems under uncertain ground truth: a case study in dermatology. - David Stutz; Ali Taylan Cemgil; Abhijit Guha Roy; Tatiana Matejovicova; Melih Barsbey; Patricia Strachan; Mike Schaekermann; Jan Freyberg; Rajeev V. Rikhye; Beverly Freeman; Javier Perez Matos; Umesh Telang; et al. (CoRR, 2023)

A Computational Software for Training Robust Drug-Target Affinity Prediction Models: pydebiaseddta. - Melih Barsbey; Riza Özçelik; Alperen Bag; Berk Atil; Arzucan Özgür; Elif Ozkirimli 001 (J. Comput. Biol., 2023)

A Framework for Improving the Generalizability of Drug-Target Affinity Prediction Models. - Riza Özçelik; Alperen Bag; Berk Atil; Melih Barsbey; Arzucan Özgür; Elif Ozkirimli 001 (J. Comput. Biol., 2023)

Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD. - Yijun Wan; Melih Barsbey; Abdellatif Zaidi; Umut Simsekli (ICML, 2024)

Grokking at the Edge of Numerical Stability. - Lucas Prieto; Melih Barsbey; Pedro A. M. Mediano; Tolga Birdal (ICLR, 2025)

Evaluating medical AI systems in dermatology under uncertain ground truth. - David Stutz; Ali Taylan Cemgil; Abhijit Guha Roy; Tatiana Matejovicova; Melih Barsbey; Patricia Strachan; Mike Schaekermann; Jan Freyberg; Rajeev Rikhye; Beverly Freeman; Javier Perez Matos; Umesh Telang; et al. (Medical Image Anal., 2025)

Algorithmic Stability of Stochastic Gradient Descent with Momentum under Heavy-Tailed Noise. - Thanh Dang; Melih Barsbey; A K. M. Rokonuzzaman Sonet; Mert Gürbüzbalaban; Umut Simsekli; Lingjiong Zhu (CoRR, 2025)

On the Interaction of Compressibility and Adversarial Robustness. - Melih Barsbey; Antônio H. Ribeiro; Umut Simsekli; Tolga Birdal (CoRR, 2025)

Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility. - Melih Barsbey; Lucas Prieto; Stefanos Zafeiriou; Tolga Birdal (CoRR, 2025)