Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction. - Marina Pominova; Anna Kuzina; Ekaterina Kondrateva; Svetlana Sushchinskaya; Evgeny Burnaev; Vyacheslav Yarkin; Maxim Sharaev (ABCD-NP@MICCAI, 2019)

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems. - Anna Kuzina; Evgenii Egorov; Evgeny Burnaev (CoRR, 2019)

BooVAE: A scalable framework for continual VAE learning under boosting approach. - Anna Kuzina; Evgenii Egorov; Evgeny Burnaev (CoRR, 2019)

BooVAE: Boosting Approach for Continual Learning of VAE. - Evgenii Egorov; Anna Kuzina; Evgeny Burnaev (NeurIPS, 2021)

Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks. - Anna Kuzina; Max Welling; Jakub M. Tomczak (CoRR, 2021)

CKConv: Continuous Kernel Convolution For Sequential Data. - David W. Romero; Anna Kuzina; Erik J. Bekkers; Jakub Mikolaj Tomczak; Mark Hoogendoorn (ICLR, 2022)

Equivariant Priors for compressed sensing with unknown orientation. - Anna Kuzina; Kumar Pratik; Fabio Valerio Massoli; Arash Behboodi (ICML, 2022)

On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models. - Kamil Deja; Anna Kuzina; Tomasz Trzcinski; Jakub M. Tomczak (NeurIPS, 2022)

Alleviating Adversarial Attacks on Variational Autoencoders with MCMC. - Anna Kuzina; Max Welling; Jakub M. Tomczak (NeurIPS, 2022)

Defending Variational Autoencoders from Adversarial Attacks with MCMC. - Anna Kuzina; Max Welling; Jakub M. Tomczak (CoRR, 2022)

Analyzing the Posterior Collapse in Hierarchical Variational Autoencoders. - Anna Kuzina; Jakub M. Tomczak (CoRR, 2023)

Exploring Continual Learning of Diffusion Models. - Michal Zajac 005; Kamil Deja; Anna Kuzina; Jakub M. Tomczak; Tomasz Trzcinski; Florian Shkurti; Piotr Milos (CoRR, 2023)

Hierarchical VAE with a Diffusion-based VampPrior. - Anna Kuzina; Jakub M. Tomczak (Trans. Mach. Learn. Res., 2024)

Variational Stochastic Gradient Descent for Deep Neural Networks. - Anna Kuzina; Haotian Chen; Babak Esmaeili 005; Jakub M. Tomczak (Trans. Mach. Learn. Res., 2025)