Julien Siems

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Frank HutterProfessor of Computer Science, 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 MannheimVerified email at informatik.uni-mannheim.de
Margret KeuperUniversity of MannheimVerified email at uni-mannheim.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
Josif GrabockaProfessor of Representation Learning (W1), University of FreiburgVerified email at informatik.uni-freiburg.de
Maren MahsereciAmazon ResearchVerified email at amazon.com
Aaron KleinAWS Research BerlinVerified email at amazon.com
Cédric ArchambeauHelsing, BerlinVerified email at helsing.ai
Martin GenzelSenior Machine Learning Researcher, Merantix MomentumVerified email at merantix.com
Alma LindborgMerantix MomentumVerified email at merantix.com
Winfried RipkenMerantix MomentumVerified email at merantix.com
Konstantin Ditschuneit

Julien Siems

University of Freiburg

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Automated Machine Learning AutoML Interpretable Machine 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	194*	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	159	2020
Faster training of Mask R-CNN by focusing on instance boundaries R Zimmermann, J Siems Computer Vision and Image Understanding 188, 102795, 2019	67	2019
NASLib: a modular and flexible neural architecture search library M Ruchte, A Zela, JN Siems, J Grabocka, F Hutter	15	2020
Bayesian Optimization-based Combinatorial Assignment J Weissteiner, J Heiss, J Siems*, S Seuken AAAI Conference on Artificial Intelligence (AAAI'23), 2023	9	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	8	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	3	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		2023
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
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		2021

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