Robust uncertainty estimates with out-of-distribution pseudo-inputs training. - Pierre Segonne; Yevgen Zainchkovskyy; Søren Hauberg (CoRR, 2022)

Probabilistic thermal stability prediction through sparsity promoting transformer representation. - Yevgen Zainchkovskyy; Jesper Ferkinghoff-Borg; Anja Bennett; Thomas Egebjerg; Nikolai Lorenzen; Per Greisen Jr.; Søren Hauberg; Carsten Stahlhut (CoRR, 2022)

A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences. - Miguel González Duque; Richard Michael; Simon Bartels; Yevgen Zainchkovskyy; Søren Hauberg; Wouter Boomsma (NeurIPS, 2024)

A Continuous Relaxation for Discrete Bayesian Optimization. - Richard Michael; Simon Bartels; Miguel González Duque; Yevgen Zainchkovskyy; Jes Frellsen; Søren Hauberg; Wouter Boomsma (CoRR, 2024)

Identifying metric structures of deep latent variable models. - Stas Syrota; Yevgen Zainchkovskyy; Johnny Xi; Benjamin Bloem-Reddy; Søren Hauberg (CoRR, 2025)