Difan Deng

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Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence LUH|AI, L3S ResearchPreverjeni e-poštni naslov na ai.uni-hannover.de
Frank HutterELLIS Institute Tübingen & Professor, University of Freiburg, GermanyPreverjeni e-poštni naslov na cs.uni-freiburg.de
André BiedenkappUniversity of FreiburgPreverjeni e-poštni naslov na cs.uni-freiburg.de
Tim RuhkopfPhD Candidate, Leibniz University HannoverPreverjeni e-poštni naslov na ai.uni-hannover.de
Katharina EggenspergerEarly Career Group Leader "AutoML for Science" | University of TübingenPreverjeni e-poštni naslov na uni-tuebingen.de
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichPreverjeni e-poštni naslov na stat.uni-muenchen.de
Matthias FeurerLMU MunichPreverjeni e-poštni naslov na stat.uni-muenchen.de
Carolin BenjaminsPhD Candidate | Leibniz University HannoverPreverjeni e-poštni naslov na ai.uni-hannover.de
Aditya MohanPhD Student at Leibniz Universität HannoverPreverjeni e-poštni naslov na ai.uni-hannover.de
Alexander TornedeBeckhoff AutomationPreverjeni e-poštni naslov na beckhoff.com
Florian KarlPh.D. student, Ludwig-Maximilians-Universität München and Fraunhofer IISPreverjeni e-poštni naslov na campus.lmu.de

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Difan Deng

Leibniz Universität Hannover

Preverjeni e-poštni naslov na tnt.uni-hannover.de

AutoML


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges B Bischl, M Binder, M Lang, T Pielok, J Richter, S Coors, J Thomas, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 (2 …, 2023	618	2023
SMAC3: A versatile Bayesian optimization package for hyperparameter optimization M Lindauer, K Eggensperger, M Feurer, A Biedenkapp, D Deng, ... Journal of Machine Learning Research 23 (54), 1-9, 2022	401	2022
Carolin Benjamins, Tim Ruhkopf, René Sass, and Frank Hutter. 2022. SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization M Lindauer, K Eggensperger, M Feurer, A Biedenkapp, D Deng Journal of Machine Learning Research 23 (54), 1-9, 2022	49	2022
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks A Tornede, D Deng, T Eimer, J Giovanelli, A Mohan, T Ruhkopf, S Segel, ... arXiv preprint arXiv:2306.08107, 2023	45	2023
Efficient automated deep learning for time series forecasting D Deng, F Karl, F Hutter, B Bischl, M Lindauer Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022	20	2022
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization J Guerrero-Viu, S Hauns, S Izquierdo, G Miotto, S Schrodi, A Biedenkapp, ... arXiv preprint arXiv:2105.01015, 2021	19	2021
MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information T Ruhkopf, A Mohan, D Deng, A Tornede, F Hutter, M Lindauer Transactions on Machine Learning Research, 2022	15	2022
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization S Izquierdo, J Guerrero-Viu, S Hauns, G Miotto, S Schrodi, A Biedenkapp, ... 8th ICML Workshop on Automated Machine Learning (AutoML), 2021	15	2021
Hyperparameter optimization: Foundations, algorithms, best practices and open challenges. arXiv B Bischl, M Binder, M Lang, T Pielok, J Richter, S Coors, J Thomas, ... arXiv preprint arXiv:2107.05847, 2021	12	2021
Literature on neural architecture search D Deng, M Lindauer	10	2016
Squirrel: A Switching Hyperparameter Optimizer N Awad, G Shala, D Deng, N Mallik, M Feurer, K Eggensperger, ... arXiv preprint arXiv:2012.08180, 2020	6	2020
Searching in the Forest for Local Bayesian Optimization D Deng, M Lindauer ECMLPKDD Workshop on Meta-Knowledge Transfer, 38-50, 2022	2	2022
Neural Attention Search D Deng, M Lindauer arXiv preprint arXiv:2502.13251, 2025		2025
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach D Deng, M Lindauer arXiv preprint arXiv:2406.05088, 2024		2024
Supplementary Material for Searching in the Forest for Local Bayesian Optimization D Deng, M Lindauer		2022

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