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Julien Siems
Julien Siems
University of Freiburg
Подтвержден адрес электронной почты в домене cs.uni-freiburg.de - Главная страница
Название
Процитировано
Процитировано
Год
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
279*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
1962020
Faster training of Mask R-CNN by focusing on instance boundaries
R Zimmermann*, J Siems*
Computer Vision and Image Understanding 188, 102795, 2019
892019
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
412024
Naslib: A modular and flexible neural architecture search library
M Ruchte, A Zela, JN Siems, J Grabocka, F Hutter
242020
Bayesian Optimization-based Combinatorial Assignment
J Weissteiner*, J Heiss*, J Siems*, S Seuken
AAAI Conference on Artificial Intelligence (AAAI'23), 2023
192023
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
162022
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
92023
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
72021
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
R Grazzi*, J Siems*, JKH Franke, A Zela, F Hutter, M Pontil
International Conference on Learning Representations (ICLR) (Oral), 2025
62025
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
42024
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
2*2024
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
12021
DeltaProduct: Increasing the Expressivity of DeltaNet Through Products of Householders
J Siems*, T Carstensen*, A Zela, F Hutter, M Pontil, R Grazzi*
arXiv preprint arXiv:2502.10297, 2025
2025
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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