Julien Siems

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Frank HutterELLIS Institute & Professor, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Arber ZelaPhD student, University of FreiburgVerified email at cs.uni-freiburg.de
Lucas ZimmerUniversity of ZurichVerified email at uzh.ch
Jovita LukasikUniversity of SiegenVerified email at uni-siegen.de
Roland Simon ZimmermannUniversity of TübingenVerified email at uni-tuebingen.de
Sven SeukenProfessor of Computation and Economics, University of Zurich and Associated Faculty at ETH AI CenterVerified email at ifi.uzh.ch
Jakob WeissteinerPostdoctoral Researcher, University of ZurichVerified email at ifi.uzh.ch
Jakob HeissPhD Student, ETH ZürichVerified email at math.ethz.ch
Thomas BroxUniversity of FreiburgVerified email at cs.uni-freiburg.de
Riccardo GrazziPost Doc, Italian Institute of TechnologyVerified email at iit.it
Simon SchrodiPhD student, University of FreiburgVerified email at cs.uni-freiburg.de
Maren MahsereciAmazon ResearchVerified email at amazon.com
Aaron KleinScaDS.AIVerified email at amazon.com
Alma LindborgMerantix MomentumVerified email at merantix.com
Winfried RipkenTU BerlinVerified email at tu-berlin.de
Konstantin Ditschuneit

Julien Siems

University of Freiburg

Verified email at cs.uni-freiburg.de - Homepage

In-Context Learning Machine Learning


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Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks A Zela, J Siems, L Zimmer*, J Lukasik, M Keuper, F Hutter International Conference on Learning Representations (ICLR), 2022	249*	2022
NAS-Bench-1Shot1: Benchmarking and dissecting one-shot neural architecture search A Zela, J Siems, F Hutter International Conference on Learning Representations (ICLR), 2020	186	2020
Faster training of Mask R-CNN by focusing on instance boundaries R Zimmermann, J Siems Computer Vision and Image Understanding 188, 102795, 2019	80	2019
Naslib: A modular and flexible neural architecture search library M Ruchte, A Zela, JN Siems, J Grabocka, F Hutter	20	2020
Is Mamba Capable of In-Context Learning? R Grazzi, J Siems, S Schrodi, T Brox, F Hutter ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation …, 2024	19	2024
Bayesian Optimization-based Combinatorial Assignment J Weissteiner, J Heiss, J Siems*, S Seuken AAAI Conference on Artificial Intelligence (AAAI'23), 2023	14	2023
Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment J Weissteiner, J Heiss, J Siems*, S Seuken International Joint Conference on Artificial Intelligence (IJCAI), 2022	11	2022
Dynamic Pruning of a Neural Network via Gradient Signal-to-Noise Ratio J Siems, A Klein, C Archambeau, M Mahsereci 8th ICML Workshop on Automated Machine Learning (AutoML), 2021	5	2021
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models J Siems, K Ditschuneit, W Ripken, A Lindborg, M Schambach, ... Advances in Neural Information Processing Systems (NeurIPS) 37, 2023	3	2023
Method, device and computer program for predicting a suitable configuration of a machine learning system for a training data set A Zela, F Hutter, J Siems, L Zimmer US Patent App. 16/950,570, 2021	1	2021
Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management J Siems, M Schambach, S Schulze, JS Otterbach AI for Agent Based Modeling Workshop at ICLR, 2023		2023

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