Kazlauskaite, Ieva

6 publications

ICML 2023 Random Grid Neural Processes for Parametric Partial Differential Equations Arnaud Vadeboncoeur, Ieva Kazlauskaite, Yanni Papandreou, Fehmi Cirak, Mark Girolami, Omer Deniz Akyildiz

AISTATS 2022 Aligned Multi-Task Gaussian Process Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill Campbell

UAI 2020 Compositional Uncertainty in Deep Gaussian Processes Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill Campbell, Carl Henrik Ek

ICML 2020 Modulating Surrogates for Bayesian Optimization Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Zhenwen Dai, Neill Campbell, Carl Henrik Ek

AISTATS 2020 Monotonic Gaussian Process Flows Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek, Neill Campbell

AISTATS 2019 Gaussian Process Latent Variable Alignment Learning Ieva Kazlauskaite, Carl Henrik Ek, Neill Campbell