Leonard Wossnig

According to our database, Leonard Wossnig authored at least 12 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Best practices for machine learning in antibody discovery and development.

Leonard Wossnig, Norbert Furtmann, Andrew Buchanan, Sandeep Kumar, Victor Greiff

CoRR, 2023

2021

Quantum machine learning for classical data

Leonard Wossnig

PhD thesis, 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

CoRR, 2021

2020

Approximating Hamiltonian dynamics with the Nyström method.

Alessandro Rudi, Leonard Wossnig, Carlo Ciliberto, Andrea Rocchetto, Massimiliano Pontil, Simone Severini

Quantum, 2020

A quantum algorithm for simulating non-sparse Hamiltonians.

Chunhao Wang, Leonard Wossnig

Quantum Inf. Comput., 2020

Fast quantum learning with statistical guarantees.

Carlo Ciliberto, Andrea Rocchetto, Alessandro Rudi, Leonard Wossnig

CoRR, 2020

2019

An initialization strategy for addressing barren plateaus in parametrized quantum circuits.

Edward Grant, Leonard Wossnig, Mateusz Ostaszewski, Marcello Benedetti

Quantum, 2019

Generative training of quantum Boltzmann machines with hidden units.

Nathan Wiebe, Leonard Wossnig

CoRR, 2019

2018

Quantum linear systems algorithms: a primer.

Danial Dervovic, Mark Herbster, Peter Mountney, Simone Severini, Naïri Usher, Leonard Wossnig

CoRR, 2018

2017

Quantum machine learning: a classical perspective.

Carlo Ciliberto, Mark Herbster, Alessandro Davide Ialongo, Massimiliano Pontil, Andrea Rocchetto, Simone Severini, Leonard Wossnig

CoRR, 2017

2016

The Role of Information in Group Formation.

Stefano Bennati, Leonard Wossnig, Johannes Thiele

Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016