Julien Siems

According to our database, Julien Siems authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Is Mamba Capable of In-Context Learning?

Riccardo Grazzi, Julien Siems, Simon Schrodi, Thomas Brox, Frank Hutter

CoRR, 2024

2023

Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management.

Julien Siems, Maximilian Schambach, Sebastian Schulze, Johannes S. Otterbach

CoRR, 2023

Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models.

Julien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes S. Otterbach, Martin Genzel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bayesian Optimization-Based Combinatorial Assignment.

Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment.

Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks.

Arber Zela, Julien Niklas Siems, Lucas Zimmer, Jovita Lukasik, Margret Keuper, Frank Hutter

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search.

Julien Siems, Lucas Zimmer, Arber Zela, Jovita Lukasik, Margret Keuper, Frank Hutter

CoRR, 2020

NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search.

Arber Zela, Julien Siems, Frank Hutter

Proceedings of the 8th International Conference on Learning Representations, 2020