Anna Kuzina

CoRR, 2023

2022

Defending Variational Autoencoders from Adversarial Attacks with MCMC.

[BibT_eX]

[DOI]

Max Welling

CoRR, 2022

Alleviating Adversarial Attacks on Variational Autoencoders with MCMC.

[BibT_eX]

[DOI]

Max Welling

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Kumar Pratik

Fabio Valerio Massoli

Arash Behboodi

Proceedings of the International Conference on Machine Learning, 2022

CKConv: Continuous Kernel Convolution For Sequential Data.

[BibT_eX]

[DOI]

David W. Romero

Erik J. Bekkers

Jakub Mikolaj Tomczak

Mark Hoogendoorn

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks.

[BibT_eX]

[DOI]

Max Welling

CoRR, 2021

BooVAE: Boosting Approach for Continual Learning of VAE.

[BibT_eX]

[DOI]

Evgenii Egorov

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.

[BibT_eX]

[DOI]

Evgenii Egorov

CoRR, 2019

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

[BibT_eX]

[DOI]

Evgenii Egorov

CoRR, 2019

Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction.

[BibT_eX]

[DOI]

Marina Pominova

Ekaterina Kondrateva

Svetlana Sushchinskaya