Kuzina, Anna

8 publications

TMLR 2025 Variational Stochastic Gradient Descent for Deep Neural Networks Anna Kuzina, Haotian Chen, Babak Esmaeili, Jakub M. Tomczak

TMLR 2024 Hierarchical VAE with a Diffusion-Based VampPrior Anna Kuzina, Jakub M. Tomczak

ICMLW 2024 Variational Stochastic Gradient Descent for Deep Neural Networks Haotian Chen, Anna Kuzina, Babak Esmaeili, Jakub M. Tomczak

NeurIPS 2022 Alleviating Adversarial Attacks on Variational Autoencoders with MCMC Anna Kuzina, Max Welling, Jakub Tomczak

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

ICML 2022 Equivariant Priors for Compressed Sensing with Unknown Orientation Anna Kuzina, Kumar Pratik, Fabio Valerio Massoli, Arash Behboodi

NeurIPS 2022 On Analyzing Generative and Denoising Capabilities of Diffusion-Based Deep Generative Models Kamil Deja, Anna Kuzina, Tomasz Trzcinski, Jakub Tomczak

NeurIPS 2021 BooVAE: Boosting Approach for Continual Learning of VAE Evgenii Egorov, Anna Kuzina, Evgeny Burnaev