Incremental Learning in Dynamic Networks for Node Classification. - Tomasz Kajdanowicz; Kamil Tagowski; Maciej Falkiewicz; Przemyslaw Kazienko (ENIC, 2017)

Incremental embedding for temporal networks. - Tomasz Kajdanowicz; Kamil Tagowski; Maciej Falkiewicz; Piotr Bielak; Przemyslaw Kazienko; Nitesh V. Chawla (CoRR, 2019)

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings. - Piotr Bielak; Kamil Tagowski; Maciej Falkiewicz; Tomasz Kajdanowicz; Nitesh V. Chawla (Knowl. Based Syst., 2022)

Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability. - Maciej Falkiewicz; Naoya Takeishi; Imahn Shekhzadeh; Antoine Wehenkel; Arnaud Delaunoy; Gilles Louppe; Alexandros Kalousis (NeurIPS, 2023)

Kolmogorov-Smirnov GAN. - Maciej Falkiewicz; Naoya Takeishi; Alexandros Kalousis (CoRR, 2024)

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

Hybrid Generative Modeling for Incomplete Physics: Deep Grey-Box Meets Optimal Transport. - Gurjeet Sangra Singh; Maciej Falkiewicz; Alexandros Kalousis (CoRR, 2025)