Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders. - Giangiacomo Mercatali; André Freitas (EMNLP (Findings), 2021)

Symmetry-induced Disentanglement on Graphs. - Giangiacomo Mercatali; André Freitas; Vikas Garg 001 (NeurIPS, 2022)

Learning Disentangled Representations for Natural Language Definitions. - Danilo Silva de Carvalho; Giangiacomo Mercatali; Yingji Zhang; André Freitas (EACL (Findings), 2023)

Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series. - Giangiacomo Mercatali; André Freitas; Jie Chen (NeurIPS, 2024)

Diffusion Twigs with Loop Guidance for Conditional Graph Generation. - Giangiacomo Mercatali; Yogesh Verma; André Freitas; Vikas Garg 001 (NeurIPS, 2024)

MING: A Functional Approach to Learning Molecular Generative Models. - Van Khoa Nguyen; Maciej Falkiewicz; Giangiacomo Mercatali; Alexandros Kalousis (AISTATS, 2025)