Anna Kuzina

According to our database1, Anna Kuzina authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Variational Stochastic Gradient Descent for Deep Neural Networks.
CoRR, 2024

2023
Exploring Continual Learning of Diffusion Models.
CoRR, 2023

Analyzing the Posterior Collapse in Hierarchical Variational Autoencoders.
CoRR, 2023

2022
Defending Variational Autoencoders from Adversarial Attacks with MCMC.
CoRR, 2022

Alleviating Adversarial Attacks on Variational Autoencoders with MCMC.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Equivariant Priors for compressed sensing with unknown orientation.
Proceedings of the International Conference on Machine Learning, 2022

CKConv: Continuous Kernel Convolution For Sequential Data.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks.
CoRR, 2021

BooVAE: Boosting Approach for Continual Learning of VAE.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019
BooVAE: A scalable framework for continual VAE learning under boosting approach.
CoRR, 2019

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems.
CoRR, 2019

Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019


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