Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data. - Alessandro Salatiello; Martin A. Giese (ICANN (1), 2020)

Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses. - Alessandro Salatiello; Martin A. Giese (IJCNN, 2021)

A Dynamical Generative Model of Social Interactions. - Alessandro Salatiello; Mohammad Hovaidi-Ardestani; Martin A. Giese (Frontiers Neurorobotics, 2021)

Toward a unifying framework for the modeling and identification of motor primitives. - Enrico Chiovetto; Alessandro Salatiello; Andrea d'Avella; Martin A. Giese (Frontiers Comput. Neurosci., 2022)

Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between? - Alessandro Salatiello; Ye Wang 001; Gordon Wichern; Toshiaki Koike-Akino; Yoshihiro Ohta; Yosuke Kaneko; Christopher R. Laughman; Ankush Chakrabarty (e-Energy (Companion), 2023)

ICML 2023 Topological Deep Learning Challenge: Design and Results. - Mathilde Papillon; Mustafa Hajij; Audun Myers; Florian Frantzen; Ghada Zamzmi; Helen Jenne; Johan Mathe; Josef Hoppe; Michael T. Schaub; Theodore Papamarkou; Aldo Guzmán-Sáenz; Bastian Rieck; et al. (TAG-ML, 2023)

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. - Mustafa Hajij; Mathilde Papillon; Florian Frantzen; Jens Agerberg; Ibrahem AlJabea; Rubén Ballester; Claudio Battiloro; Guillermo Bernárdez; Tolga Birdal; Aiden Brent; Peter Chin 001; Sergio Escalera; et al. (CoRR, 2024)

Large language models surpass human experts in predicting neuroscience results. - Xiaoliang Luo; Akilles Rechardt; Guangzhi Sun; Kevin K. Nejad; Felipe Yáñez; Bati Yilmaz; Kangjoo Lee; Alexandra O. Cohen; Valentina Borghesani; Anton Pashkov; Daniele Marinazzo; Jonathan Nicholas; et al. (CoRR, 2024)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - Guillermo Bernárdez; Lev Telyatnikov; Marco Montagna; Federica Baccini; Mathilde Papillon; Miquel Ferriol Galmés; Mustafa Hajij; Theodore Papamarkou; Maria Sofia Bucarelli; Olga Zaghen; Johan Mathe; Audun Myers; et al. (CoRR, 2024)

Large Language Models Are More Persuasive Than Incentivized Human Persuaders. - Philipp Schoenegger; Francesco Salvi; Jiacheng Liu 010; Xiaoli Nan; Ramit Debnath; Barbara Fasolo; Evelina Leivada; Gabriel Recchia; Fritz Günther; Ali Zarifhonarvar; Joe Kwon; Zahoor Ul Islam; et al. (CoRR, 2025)

Hierarchical Time Series Forecasting Via Latent Mean Encoding. - Alessandro Salatiello; Stefan Birr; Manuel Kunz (CoRR, 2025)