2024
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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
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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 = {}
}
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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 = {}
}
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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
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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 = {}
}
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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 = {}
}
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2021
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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 = {}
}
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2020
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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 = {}
}
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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 = {}
}
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2019
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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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