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cs.LG2024★ 1 cited
Hierarchical VAE with a Diffusion-based VampPrior
Anna Kuzina, Jakub M. Tomczak
Deep hierarchical variational autoencoders (VAEs) are powerful latent variable generative models. In this paper, we introduce Hierarchical VAE with Diffusion-based Variational Mixt…
cs.CL2024
Generative AI Systems: A Systems-based Perspective on Generative AI
Jakub M. Tomczak
Large Language Models (LLMs) have revolutionized AI systems by enabling communication with machines using natural language. Recent developments in Generative AI (GenAI) like Vision…
cs.LG2024
Variational Stochastic Gradient Descent for Deep Neural Networks
Haotian Chen, Anna Kuzina, Babak Esmaeili +1
Current state-of-the-art optimizers are adaptive gradient-based optimization methods such as Adam. Recently, there has been an increasing interest in formulating gradient-based opt…