Piatkowski, Nico

10 publications

ICML 2025 Hybrid Quantum-Classical Multi-Agent Pathfinding Thore Gerlach, Loong Kuan Lee, Frederic Barbaresco, Nico Piatkowski

MLJ 2024 On the Effects of Biased Quantum Random Numbers on the Initialization of Artificial Neural Networks Raoul Heese, Moritz Wolter, Sascha Mücke, Lukas Franken, Nico Piatkowski

ECML-PKDD 2024 Real-Part Quantum Support Vector Machines Nico Piatkowski, Sascha Mücke

AAAI 2023 Computing Divergences Between Discrete Decomposable Models Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb

ECML-PKDD 2019 Hyper-Parameter-Free Generative Modelling with Deep Boltzmann Trees Nico Piatkowski

UAI 2018 Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation Nico Piatkowski, Katharina Morik

ECML-PKDD 2016 INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O'Brien, Dermot Kinane, Jakub Marecek, Jia Yuan Yu, Rudi Verago, Elizabeth Daly, Nico Piatkowski, Thomas Liebig, Christian Bockermann, Katharina Morik, François Schnitzler, Matthias Weidlich, Avigdor Gal, Shie Mannor, Hendrik Stange, Werner Halft, Gennady L. Andrienko

ICML 2016 Stochastic Discrete Clenshaw-Curtis Quadrature Nico Piatkowski, Katharina Morik

ECML-PKDD 2014 Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights François Schnitzler, Alexander Artikis, Matthias Weidlich, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dermot Kinane, Dimitrios Gunopulos

MLJ 2013 Spatio-Temporal Random Fields: Compressible Representation and Distributed Estimation Nico Piatkowski, Sangkyun Lee, Katharina Morik