| 2025 | 
|  Siems, Julien;  Carstensen, Timur;  Zela, Arber;  Hutter, Frank;  Pontil, Massimiliano;  Grazzi, Riccardo DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products Inproceedings Forthcoming In: 39th Conference on Neural Information Processing Systems (NeurIPS), Forthcoming. @inproceedings{Siems2025b,title = {DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products},
 author = {Julien Siems and Timur Carstensen and Arber Zela and Frank Hutter and Massimiliano Pontil and Riccardo Grazzi},
 year  = {2025},
 booktitle = {39th Conference on Neural Information Processing Systems (NeurIPS)},
 keywords = {}
 }
 
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|  Grazzi, Riccardo;  Siems, Julien;  Franke, Jörg;  Zela, Arber;  Hutter, Frank;  Pontil, Massimiliano Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues Inproceedings  In: Proceedings of the Thirteenth International Conference on Learning Representations (ICLR), 2025, (Oral). @inproceedings{Grazzi2025,title = {Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues},
 author = {Riccardo Grazzi and Julien Siems and Jörg Franke and Arber Zela and Frank Hutter and Massimiliano Pontil},
 year  = {2025},
 booktitle = {Proceedings of the Thirteenth International Conference on Learning Representations (ICLR)},
 keywords = {}
 }
 
 | 
|  Siems, Julien;  Carstensen, Timur;  Zela, Arber;  Hutter, Frank;  Pontil, Massimiliano;  Grazzi, Riccardo DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products Inproceedings  In: Foundation Models in the Wild at ICLR, 2025, (Oral). @inproceedings{Siems2025,title = {DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products},
 author = {Julien Siems and Timur Carstensen and Arber Zela and Frank Hutter and Massimiliano Pontil and Riccardo Grazzi},
 year  = {2025},
 booktitle = {Foundation Models in the Wild at ICLR},
 keywords = {}
 }
 
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                    | 2024 | 
|  Grazzi, Riccardo;  Siems, Julien;  Franke, Jörg K. H.;  Zela, Arber;  Hutter, Frank;  Pontil, Massimiliano Unlocking State-Tracking in linear RNNs through Negative Eigenvalues Inproceedings  In: NeurIPS 2024 Workshop on Mathematics of Modern Machine Learning Workshop (M3L), 2024, (Oral Presentation). @inproceedings{Grazzi2024d,title = {Unlocking State-Tracking in linear RNNs through Negative Eigenvalues},
 author = {Riccardo Grazzi and Julien Siems and Jörg K. H. Franke and Arber Zela and Frank Hutter and Massimiliano Pontil},
 year  = {2024},
 booktitle = {NeurIPS 2024 Workshop on Mathematics of Modern Machine Learning Workshop (M3L)},
 keywords = {}
 }
 
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|  Bhethanabhotla, Sathya Kamesh;  Swelam, Omar;  Siems, Julien;  Salinas, David;  Hutter, Frank Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models Inproceedings  In: NeurIPS 2024 TSALM Workshop, 2024, (Spotlight Presentation). @inproceedings{Bhethanabhotla2024,title = {Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models},
 author = {Sathya Kamesh Bhethanabhotla and Omar Swelam and Julien Siems and David Salinas and Frank Hutter},
 year  = {2024},
 booktitle = {NeurIPS 2024 TSALM Workshop},
 keywords = {}
 }
 
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|  Müller, Andreas;  Siems, Julien;  Nori, Harsha;  Salinas, David;  Zela, Arber;  Caruana, Rich;  Hutter, Frank GAMformer: Exploring In-Context Learning for Generalized Additive Models Inproceedings  In: NeurIPS 2024 TRL Workshop, 2024. @inproceedings{Müller2024,title = {GAMformer: Exploring In-Context Learning for Generalized Additive Models},
 author = {Andreas Müller and Julien Siems and Harsha Nori and David Salinas and Arber Zela and Rich Caruana and Frank Hutter},
 year  = {2024},
 booktitle = {NeurIPS 2024 TRL Workshop},
 keywords = {}
 }
 
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|  Grazzi, Riccardo;  Siems, Julien;  Schrodi, Simon;  Brox, Thomas;  Hutter, Frank Is Mamba Capable of In-Context Learning? Inproceedings  In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Methods Track, 2024. @inproceedings{Grazzi2024b,title = {Is Mamba Capable of In-Context Learning?},
 author = {Riccardo Grazzi and Julien Siems and Simon Schrodi and Thomas Brox and Frank Hutter},
 year  = {2024},
 booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Methods Track},
 keywords = {}
 }
 
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|  Grazzi, Riccardo;  Siems, Julien;  Schrodi, Simon;  Brox, Thomas;  Hutter, Frank Is Mamba Capable of In-Context Learning? Inproceedings  In: Mathematical and Empirical Understanding of Foundation Models (ME-FoMo) Workshop, 2024. @inproceedings{Grazzi2024,title = {Is Mamba Capable of In-Context Learning?},
 author = {Riccardo Grazzi and Julien Siems and Simon Schrodi and Thomas Brox and Frank Hutter },
 year  = {2024},
 booktitle = {Mathematical and Empirical Understanding of Foundation Models (ME-FoMo) Workshop},
 keywords = {}
 }
 
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                    | 2023 | 
|  Siems, Julien;  Ditschuneit, Konstantin;  Ripken, Winfried;  Lindborg, Alma;  Schambach, Maximilian;  Otterbach, Johannes;  Genzel, Martin Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models Inproceedings  In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), 2023. @inproceedings{nokey,title = {Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models},
 author = {Julien Siems and Konstantin Ditschuneit and Winfried Ripken and Alma Lindborg and Maximilian Schambach and Johannes Otterbach and Martin Genzel},
 year  = {2023},
 booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)},
 keywords = {}
 }
 
 | 
|  Siems, Julien;  Schambach, Maximilian;  Schulze, Sebastian;  Otterbach, Johannes Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management Conference  AI4ABM Workshop at ICLR 2023, 2023. @conference{nokey,title = {Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management},
 author = {Julien Siems and Maximilian Schambach and Sebastian Schulze and Johannes Otterbach},
 year  = {2023},
 booktitle = {AI4ABM Workshop at ICLR 2023},
 keywords = {}
 }
 
 | 
|  Weissteiner, Jakob;  Heiss, Jakob;  Siems, Julien;  Seuken, Sven Bayesian Optimization based Combinatorial Assignment Inproceedings  In: AAAI 2023, 2023. @inproceedings{nokey,title = {Bayesian Optimization based Combinatorial Assignment},
 author = {Jakob Weissteiner and Jakob Heiss and Julien Siems and Sven Seuken},
 year  = {2023},
 booktitle = {AAAI 2023},
 keywords = {}
 }
 
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                    | 2022 | 
|  Weissteiner, Jakob;  Heiss, Jakob;  Siems, Julien;  Seuken, Sven Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment Inproceedings  In: IJCAI-ECAI, 2022. @inproceedings{nokey,title = {Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment},
 author = {Jakob Weissteiner and Jakob Heiss and Julien Siems and Sven Seuken},
 year  = {2022},
 booktitle = {IJCAI-ECAI},
 keywords = {}
 }
 
 | 
|  Zela, Arber;  Siems, Julien;  Zimmer, Lucas;  Lukasik, Jovita;  Keuper, Margret;  Hutter, Frank Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks Inproceedings  In: International Conference on Learning Representations (ICLR), 2022. @inproceedings{zela-iclr21,title = {Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks},
 author = {Arber Zela and Julien Siems and Lucas Zimmer and Jovita Lukasik and Margret Keuper and Frank Hutter},
 year  = {2022},
 booktitle = {International Conference on Learning Representations (ICLR)},
 keywords = {}
 }
 
 | 
                    | 2021 | 
|  Siems, Julien;  Klein, Aaron;  Archambeau, Cedric;  Mahsereci, Maren Dynamic Pruning of a Neural Network via Gradient Signal-to-Noise Ratio  Conference  AutoML Workshop at ICML 2021, 2021. @conference{nokey,title = {Dynamic Pruning of a Neural Network via Gradient Signal-to-Noise Ratio },
 author = {Julien Siems and Aaron Klein and Cedric Archambeau and Maren Mahsereci},
 year  = {2021},
 booktitle = {AutoML Workshop at ICML 2021},
 keywords = {}
 }
 
 | 
                    | 2020 | 
|  Siems, Julien;  Zimmer, Lucas;  Zela, Arber;  Lukasik, Jovita;  Keuper, Margret;  Hutter, Frank NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search Journal Article  In: NeurIPS 4th Workshop on Meta-Learning, 2020. @article{siems20,title = {NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search},
 author = {Julien Siems and Lucas Zimmer and Arber Zela and Jovita Lukasik and Margret Keuper and Frank Hutter},
 year  = {2020},
 journal = {NeurIPS 4th Workshop on Meta-Learning},
 keywords = {}
 }
 
 | 
|  Zela, Arber;  Siems, Julien;  Hutter, Frank NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search Inproceedings  In: International Conference on Learning Representations, 2020. @inproceedings{Zela2020NAS-Bench-1Shot1:,title = {NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search},
 author = {Arber Zela and Julien Siems and Frank Hutter},
 year  = {2020},
 booktitle = {International Conference on Learning Representations},
 keywords = {}
 }
 
 | 
                    | 2019 | 
|  Zimmermann, Roland;  Siems, Julien Faster training of Mask R-CNN by focusing on instance boundaries Journal Article  In: Computer Vision and Image Understanding, 2019. @article{nokey,title = {Faster training of Mask R-CNN by focusing on instance boundaries},
 author = {Roland Zimmermann and Julien Siems},
 year  = {2019},
 journal = {Computer Vision and Image Understanding},
 keywords = {}
 }
 
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