Yevgen Zainchkovskyy

According to our database, Yevgen Zainchkovskyy authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

VIKING: Deep variational inference with stochastic projections.

Samuel G. Fadel, Hrittik Roy, Nicholas Krämer, Yevgen Zainchkovskyy, Stas Syrota, Alejandro Valverde Mahou, Carl Henrik Ek, Søren Hauberg

CoRR, October, 2025

Identifying Metric Structures of Deep Latent Variable Models.

Stas Syrota, Yevgen Zainchkovskyy, Johnny Xi, Benjamin Bloem-Reddy, Søren Hauberg

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Robust uncertainty estimates with out-of-distribution pseudo-inputs training.

Pierre Segonne, Yevgen Zainchkovskyy, Søren Hauberg

CoRR, 2022