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09/18/2023
Looking through the past: better knowledge retention for generative replay in continual learning
In this work, we improve the generative replay in a continual learning s...
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06/23/2023
Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN
Currently, over half of the computing power at CERN GRID is used to run ...
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03/27/2023
Exploring Continual Learning of Diffusion Models
Diffusion models have achieved remarkable success in generating high-qua...
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01/31/2023
Learning Data Representations with Joint Diffusion Models
We introduce a joint diffusion model that simultaneously learns meaningf...
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01/11/2023
Modelling low-resource accents without accent-specific TTS frontend
This work focuses on modelling a speaker's accent that does not have a d...
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07/04/2022
Selectively increasing the diversity of GAN-generated samples
Generative Adversarial Networks (GANs) are powerful models able to synth...
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05/31/2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
Diffusion-based Deep Generative Models (DDGMs) offer state-of-the-art pe...
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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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06/11/2020