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05/31/2023
The Tunnel Effect: Building Data Representations in Deep Neural Networks
Deep neural networks are widely known for their remarkable effectiveness...
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10/25/2022
Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks
Interpretation of electrocardiography (ECG) signals is required for diag...
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07/30/2022
Reinforcement learning with experience replay and adaptation of action dispersion
Effective reinforcement learning requires a proper balance of exploratio...
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01/17/2022
Logarithmic Continual Learning
We introduce a neural network architecture that logarithmically reduces ...
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09/04/2021
On robustness of generative representations against catastrophic forgetting
Catastrophic forgetting of previously learned knowledge while learning n...
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06/23/2021
Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning
We propose a new method for unsupervised continual knowledge consolidati...
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03/30/2021
Reinforcement learning for optimization of variational quantum circuit architectures
The study of Variational Quantum Eigensolvers (VQEs) has been in the spo...
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04/29/2020
Reducing catastrophic forgetting with learning on synthetic data
Catastrophic forgetting is a problem caused by neural networks' inabilit...
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09/12/2019
