Tiulpin, Aleksei

13 publications

MIDL 2026 CARE: Confidence-Aware Ratio Estimation for Medical Biomarkers Jiameng Li, Teodora Popordanoska, Aleksei Tiulpin, Sebastian G. Gruber, Frederik Maes, Matthew B. Blaschko

ICLR 2026 SoftCFG: Uncertainty-Guided Stable Guidance for Visual Autoregressive Model Dongli Xu, Aleksei Tiulpin, Matthew B. Blaschko

UAI 2025 Bayesian Optimization over Bounded Domains with the Beta Product Kernel Huy Hoang Nguyen, Han Zhou, Matthew B. Blaschko, Aleksei Tiulpin

WACV 2025 Image-Level Regression for Uncertainty-Aware Retinal Image Segmentation Trung D. Q. Dang, Huy Hoang Nguyen, Aleksei Tiulpin

NeurIPSW 2024 Bayesian Optimization over Bounded Domains with Beta Product Kernels Huy Hoang Nguyen, Han Zhou, Matthew B. Blaschko, Aleksei Tiulpin

WACV 2024 Beyond Classification: Definition and Density-Based Estimation of Calibration in Object Detection Teodora Popordanoska, Aleksei Tiulpin, Matthew B. Blaschko

AISTATS 2024 Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors Teodora Popordanoska, Sebastian Gregor Gruber, Aleksei Tiulpin, Florian Buettner, Matthew B. Blaschko

TMLR 2024 Targeted Active Learning for Bayesian Decision-Making Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski

TMLR 2022 Greedy Bayesian Posterior Approximation with Deep Ensembles Aleksei Tiulpin, Matthew B. Blaschko

ICCVW 2019 Breast Tumor Cellularity Assessment Using Deep Neural Networks Alexander Rakhlin, Aleksei Tiulpin, Alexey A. Shvets, Alexandr A. Kalinin, Vladimir I. Iglovikov, Sergey I. Nikolenko

WACV 2019 DGC-Net: Dense Geometric Correspondence Network Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala

ICCVW 2019 Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala

ICCVW 2019 KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks Aleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala