Deep Learning-Powered Iterative Combinatorial Auctions. - Jakob Weissteiner; Sven Seuken (AAAI, 2020)

NOMU: Neural Optimization-based Model Uncertainty. - Jakob Heiss; Jakob Weissteiner; Hanna S. Wutte; Sven Seuken; Josef Teichmann (ICML, 2022)

Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment. - Jakob Weissteiner; Jakob Heiss; Julien Siems; Sven Seuken (IJCAI, 2022)

Fourier Analysis-based Iterative Combinatorial Auctions. - Jakob Weissteiner; Chris Wendler; Sven Seuken; Benjamin Lubin; Markus Püschel (IJCAI, 2022)

Bayesian Optimization-Based Combinatorial Assignment. - Jakob Weissteiner; Jakob Heiss; Julien Siems; Sven Seuken (AAAI, 2023)

Machine Learning-Powered Combinatorial Clock Auction. - Ermis Nikiforos Soumalias; Jakob Weissteiner; Jakob Heiss; Sven Seuken (AAAI, 2024)

Machine Learning-Powered Course Allocation. - Ermis Soumalias; Behnoosh Zamanlooy; Jakob Weissteiner; Sven Seuken (EC, 2024)

Prices, Bids, Values: Everything, Everywhere, All at Once. - Ermis Soumalias; Jakob Heiss; Jakob Weissteiner; Sven Seuken (CoRR, 2024)