Segmentation of images with separating layers by fuzzy c-means and convex optimization. - Behrang Shafei; Gabriele Steidl (J. Vis. Commun. Image Represent., 2012)

A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data. - Yanyan He; M. Yousuff Hussaini; Jianwei Ma; Behrang Shafei; Gabriele Steidl (Pattern Recognit., 2012)

Homogeneous Penalizers and Constraints in Convex Image Restoration. - René Ciak; Behrang Shafei; Gabriele Steidl (J. Math. Imaging Vis., 2013)

Multi-class image segmentation via convex and biconvex optimization. - Behrang Shafei (2013)

Supervised and transductive multi-class segmentation using p-Laplacians and RKHS methods. - Sung Ha Kang; Behrang Shafei; Gabriele Steidl (J. Vis. Commun. Image Represent., 2014)

SnAKe: Bayesian Optimization with Pathwise Exploration. - Jose Pablo Folch; Shiqiang Zhang; Robert M. Lee; Behrang Shafei; David Walz; Calvin Tsay; Mark van der Wilk; Ruth Misener (NeurIPS, 2022)

Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces. - Alexander Thebelt; Calvin Tsay; Robert M. Lee; Nathan Sudermann-Merx; David Walz; Behrang Shafei; Ruth Misener (NeurIPS, 2022)

Joint Entropy Search for Multi-Objective Bayesian Optimization. - Ben Tu; Axel Gandy; Nikolas Kantas; Behrang Shafei (NeurIPS, 2022)

Multi-Objective Optimization Using the R2 Utility. - Ben Tu; Nikolas Kantas; Robert M. Lee; Behrang Shafei (CoRR, 2023)

Practical Path-based Bayesian Optimization. - Jose Pablo Folch; James Odgers; Shiqiang Zhang; Robert M. Lee; Behrang Shafei; David Walz; Calvin Tsay; Mark van der Wilk; Ruth Misener (CoRR, 2023)

Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization. - Jose Pablo Folch; Robert M. Lee; Behrang Shafei; David Walz; Calvin Tsay; Mark van der Wilk; Ruth Misener (Comput. Chem. Eng., 2023)

Transition Constrained Bayesian Optimization via Markov Decision Processes. - Jose Pablo Folch; Calvin Tsay; Robert M. Lee; Behrang Shafei; Weronika Ormaniec; Andreas Krause 001; Mark van der Wilk; Ruth Misener; Mojmir Mutny (NeurIPS, 2024)

Random Pareto front surfaces. - Ben Tu; Nikolas Kantas; Robert M. Lee; Behrang Shafei (CoRR, 2024)

System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization. - Jixiang Qing; Becky D. Langdon; Robert M. Lee; Behrang Shafei; Mark van der Wilk; Calvin Tsay; Ruth Misener (CoRR, 2024)

BoFire: Bayesian Optimization Framework Intended for Real Experiments. - Johannes P. Dürholt; Thomas S. Asche; Johanna Kleinekorte; Gabriel Mancino-Ball; Benjamin Schiller; Simon Sung; Julian Keupp; Aaron Osburg; Toby Boyne; Ruth Misener; Rosona Eldred; Wagner Steuer Costa; et al. (CoRR, 2024)

Dependence in constrained Bayesian optimization. - Shiqiang Zhang; Robert M. Lee; Behrang Shafei; David Walz; Ruth Misener (Optim. Lett., 2024)

Scalarisation-based risk concepts for robust multi-objective optimisation. - Ben Tu; Nikolas Kantas; Robert M. Lee; Behrang Shafei (Eur. J. Oper. Res., 2025)

Multiobjective Optimization Using the R2 Utility. - Ben Tu; Nikolas Kantas; Robert M. Lee; Behrang Shafei (SIAM Rev., 2025)

System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization. - Jixiang Qing; Rebecca D. Langdon; Robert M. Lee; Behrang Shafei; Mark van der Wilk; Calvin Tsay; Ruth Misener (Trans. Mach. Learn. Res., 2025)

BARK: A Fully Bayesian Tree Kernel for Black-box Optimization. - Toby Boyne; Jose Pablo Folch; Robert M. Lee; Behrang Shafei; Ruth Misener (CoRR, 2025)