| Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians K Dvijotham, J Winkens, M Barsbey, S Ghaisas, R Stanforth, N Pawlowski, ... Nature Medicine 29 (7), 1814-1820, 2023 | 68 | 2023 |
| Heavy tails in SGD and compressibility of overparametrized neural networks M Barsbey, M Sefidgaran, MA Erdogdu, G Richard, U Simsekli Advances in Neural Information Processing Systems 34, 29364-29378, 2021 | 38 | 2021 |
| Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares A Raj, M Barsbey, M Gurbuzbalaban, L Zhu, U Şim International Conference on Algorithmic Learning Theory, 1292-1342, 2023 | 16 | 2023 |
| Bayesian allocation model: marginal likelihood-based model selection for count tensors S Yıldırım, MB Kurutmaz, M Barsbey, U Şimşekli, AT Cemgil IEEE Journal of Selected Topics in Signal Processing 15 (3), 560-573, 2020 | 9 | 2020 |
| Bayesian allocation model: Inference by sequential monte carlo for nonnegative tensor factorizations and topic models using polya urns AT Cemgil, MB Kurutmaz, S Yildirim, M Barsbey, U Simsekli arXiv preprint arXiv:1903.04478, 2019 | 7 | 2019 |
| Implicit compressibility of overparametrized neural networks trained with heavy-tailed SGD Y Wan, M Barsbey, A Zaidi, U Simsekli arXiv preprint arXiv:2306.08125, 2023 | 4 | 2023 |
| Evaluating AI systems under uncertain ground truth: a case study in dermatology D Stutz, AT Cemgil, AG Roy, T Matejovicova, M Barsbey, P Strachan, ... arXiv preprint arXiv:2307.02191, 2023 | 3 | 2023 |
| A Computational Software for Training Robust Drug–Target Affinity Prediction Models: pydebiaseddta M Barsbey, R Özçelik, A Bağ, B Atil, A ÖZgür, E Ozkirimli Journal of Computational Biology 30 (11), 1240-1245, 2023 | 1 | 2023 |
| Modeling Hierarchical Seasonality through Low-Rank Tensor Decompositions in Time Series Analysis M Barsbey, AT Cemgil IEEE Access 11, 85770-85784, 2023 | 1 | 2023 |
| Bayesian learning of non-negative matrix/tensor factorizations by simulating Pólya urns MB Kurutmaz, AT Cemgil, M Barsbey, U Simsekli, S Yıldırım Proc. 1st Symp. Adv. Approximate Bayesian Inf., 2018 | 1 | 2018 |
| Grokking at the Edge of Numerical Stability L Prieto, M Barsbey, PAM Mediano, T Birdal arXiv preprint arXiv:2501.04697, 2025 | | 2025 |
| Bayesian Model Selection for Identifying Markov Equivalent Causal Graphs MB Kurutmaz, M Barsbey, AT Cemgil, S Yıldırım, U Şimşekli Second Symposium on Advances in Approximate Bayesian Inference, 2019 | | 2019 |
| Linguistic differences in explanation requests and their effects on the evaluation of explanations: the case of English and Turkish. M Barsbey, T Lombrozo CogSci, 2013 | | 2013 |