Learning Extremal Representations with Deep Archetypal Analysis. - Sebastian Mathias Keller; Maxim Samarin; Fabricio Arend Torres; Mario Wieser; Volker Roth 001 (Int. J. Comput. Vis., 2021)

Learning Invariances with Generalised Input-Convex Neural Networks. - Vitali Nesterov; Fabricio Arend Torres; Monika Nagy-Huber; Maxim Samarin; Volker Roth 001 (CoRR, 2022)

Truly Mesh-free Physics-Informed Neural Networks. - Fabricio Arend Torres; Marcello Massimo Negri; Monika Nagy-Huber; Maxim Samarin; Volker Roth 001 (CoRR, 2022)

Conditional Matrix Flows for Gaussian Graphical Models. - Marcello Massimo Negri; Fabricio Arend Torres; Volker Roth 001 (NeurIPS, 2023)

Lagrangian Flow Networks for Conservation Laws. - Fabricio Arend Torres; Marcello Massimo Negri; Marco Inversi; Jonathan Aellen; Volker Roth 001 (ICLR, 2024)