The Role of Information in Group Formation. - Stefano Bennati; Leonard Wossnig; Johannes Thiele (ICAART (1), 2016)

Quantum machine learning: a classical perspective. - Carlo Ciliberto; Mark Herbster; Alessandro Davide Ialongo; Massimiliano Pontil; Andrea Rocchetto; Simone Severini; Leonard Wossnig (CoRR, 2017)

Quantum linear systems algorithms: a primer. - Danial Dervovic; Mark Herbster; Peter Mountney; Simone Severini; Naïri Usher; Leonard Wossnig (CoRR, 2018)

Generative training of quantum Boltzmann machines with hidden units. - Nathan Wiebe; Leonard Wossnig (CoRR, 2019)

An initialization strategy for addressing barren plateaus in parametrized quantum circuits. - Edward Grant; Leonard Wossnig; Mateusz Ostaszewski; Marcello Benedetti (Quantum, 2019)

Fast quantum learning with statistical guarantees. - Carlo Ciliberto; Andrea Rocchetto; Alessandro Rudi; Leonard Wossnig (CoRR, 2020)

A quantum algorithm for simulating non-sparse Hamiltonians. - Chunhao Wang; Leonard Wossnig (Quantum Inf. Comput., 2020)

Approximating Hamiltonian dynamics with the Nyström method. - Alessandro Rudi; Leonard Wossnig; Carlo Ciliberto; Andrea Rocchetto; Massimiliano Pontil; Simone Severini (Quantum, 2020)

Quantum Machine Learning For Classical Data. - Leonard Wossnig (CoRR, 2021)

Universal discriminative quantum neural networks. - Hongxiang Chen; Leonard Wossnig; Simone Severini; Hartmut Neven; Masoud Mohseni (Quantum Mach. Intell., 2021)

Quantum machine learning for classical data - Leonard Wossnig (2021)

Best practices for machine learning in antibody discovery and development. - Leonard Wossnig; Norbert Furtmann; Andrew Buchanan; Sandeep Kumar; Victor Greiff (CoRR, 2023)