54 citations · 87 across the 11 of their papers we have counts for
3 papers · 1 filter
On robustness of generative representations against catastrophic forgetting
Wojciech Masarczyk, Kamil Deja, Tomasz Trzciński
Catastrophic forgetting of previously learned knowledge while learning new tasks is a widely observed limitation of contemporary neural networks. Although many continual learning m…
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning
Kamil Deja, Paweł Wawrzyński, Wojciech Masarczyk +2
We propose a new method for unsupervised generative continual learning through realignment of Variational Autoencoder's latent space. Deep generative models suffer from catastrophi…
Reinforcement learning for optimization of variational quantum circuit architectures
Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk +2
The study of Variational Quantum Eigensolvers (VQEs) has been in the spotlight in recent times as they may lead to real-world applications of near-term quantum devices. However, th…