Julien Siems

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Efficient Optimization

Inventory Management

Neural Architecture

Multilayer Perceptron

Top Venues

Publications

Riccardo Grazzi, Julien Siems, Simon Schrodi, Thomas Brox, Frank Hutter
Is Mamba Capable of In-Context Learning? CoRR (2024)
Julien Siems, Maximilian Schambach, Sebastian Schulze, Johannes S. Otterbach
Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management. CoRR (2023)
Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken
Bayesian Optimization-Based Combinatorial Assignment. AAAI (2023)
Julien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes S. Otterbach, Martin Genzel
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models. CoRR (2023)
Julien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes S. Otterbach, Martin Genzel
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models. NeurIPS (2023)
Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken
Bayesian Optimization-based Combinatorial Assignment. CoRR (2022)
Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken
Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment. IJCAI (2022)
Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken
Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment. CoRR (2021)
Arber Zela, Julien Siems, Frank Hutter
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search. CoRR (2020)
Arber Zela, Julien Siems, Frank Hutter
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search. ICLR (2020)
Julien Siems, Lucas Zimmer, Arber Zela, Jovita Lukasik, Margret Keuper, Frank Hutter
NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search. CoRR (2020)