| 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 | 259* | 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 | 192 | 2020 |
| Faster training of Mask R-CNN by focusing on instance boundaries R Zimmermann*, J Siems* Computer Vision and Image Understanding 188, 102795, 2019 | 85 | 2019 |
| 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 | 29 | 2024 |
| Naslib: A modular and flexible neural architecture search library M Ruchte, A Zela, JN Siems, J Grabocka, F Hutter | 22 | 2020 |
| Bayesian Optimization-based Combinatorial Assignment J Weissteiner*, J Heiss*, J Siems*, S Seuken AAAI Conference on Artificial Intelligence (AAAI'23), 2023 | 17 | 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 | 14 | 2022 |
| 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 | 6 | 2023 |
| 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 |
| 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 |
| Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues R Grazzi, J Siems, JKH Franke, A Zela, F Hutter, M Pontil NeurIPS 2024 Workshop on Mathematics of Modern Machine Learning, 2024 | | 2024 |
| Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models SK Bhethanabhotla, O Swelam, J Siems, D Salinas, F Hutter NeurIPS Workshop on Time Series in the Age of Large Models (Spotlight), 2024 | | 2024 |
| GAMformer: Exploring In-Context Learning for Generalized Additive Models AC Mueller, J Siems, H Nori, D Salinas, A Zela, R Caruana, F Hutter NeurIPS 2024 Third Table Representation Learning Workshop, 2024 | | 2024 |
| 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 |
Frank HutterELLIS Institute & Professor, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de