Deng, Difan

8 publications

NeurIPS 2025 Neural Attention Search Difan Deng, Marius Lindauer

TMLR 2025 Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach Difan Deng, Marius Lindauer

TMLR 2024 AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer

NeurIPSW 2024 Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach Difan Deng, Marius Lindauer

TMLR 2023 MASIF: Meta-Learned Algorithm Selection Using Implicit Fidelity Information Tim Ruhkopf, Aditya Mohan, Difan Deng, Alexander Tornede, Frank Hutter, Marius Lindauer

ECML-PKDD 2022 Efficient Automated Deep Learning for Time Series Forecasting Difan Deng, Florian Karl, Frank Hutter, Bernd Bischl, Marius Lindauer

MLOSS 2022 SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim Ruhkopf, René Sass, Frank Hutter

ICMLW 2021 Bag of Baselines for Multi-Objective Joint Neural Architecture Search and Hyperparameter Optimization Sergio Izquierdo, Julia Guerrero-Viu, Sven Hauns, Guilherme Miotto, Simon Schrodi, André Biedenkapp, Thomas Elsken, Difan Deng, Marius Lindauer, Frank Hutter