Continual Classification Learning Using Generative Models. - Frantzeska Lavda; Jason Ramapuram; Magda Gregorova; Alexandros Kalousis (CoRR, 2018)

Variational Saccading: Efficient Inference for Large Resolution Images. - Jason Ramapuram; Maurits Diephuis; Frantzeska Lavda; Russ Webb; Alexandros Kalousis (BMVC, 2019)

Improving VAE Generations of Multimodal Data Through Data-Dependent Conditional Priors. - Frantzeska Lavda; Magda Gregorová; Alexandros Kalousis (ECAI, 2020)

Data-Dependent Conditional Priors for Unsupervised Learning of Multimodal Data. - Frantzeska Lavda; Magda Gregorová; Alexandros Kalousis (Entropy, 2020)

Semi-Supervised Variational Autoencoders for Out-of-Distribution Generation. - Frantzeska Lavda; Alexandros Kalousis (Entropy, 2023)

Discrete Latent Graph Generative Modeling with Diffusion Bridges. - Van Khoa Nguyen; Yoann Boget; Frantzeska Lavda; Alexandros Kalousis (CoRR, 2024)

GLAD: Improving Latent Graph Generative Modeling with Simple Quantization. - Van Khoa Nguyen; Yoann Boget; Frantzeska Lavda; Alexandros Kalousis (AAAI, 2025)