Matus, Dominika; Runge, Frederic; Franke, Jörg K. H.; Gerne, Lars; Uhl, Michael; Hutter, Frank; Backofen, Rolf RNA-Protein Interaction Prediction via Sequence Embeddings Workshop The Generative and Experimental perspectives in bioMolecular design (GEM) workshop (ICLR 2024), 2024. @workshop{nokey,
title = {RNA-Protein Interaction Prediction via Sequence Embeddings},
author = {Dominika Matus and Frederic Runge and Jörg K. H. Franke and Lars Gerne and Michael Uhl and Frank Hutter and Rolf Backofen},
year = {2024},
booktitle = {The Generative and Experimental perspectives in bioMolecular design (GEM) workshop (ICLR 2024)},
keywords = {}
}
|
Patil, Sharat; Runge, Frederic; Franke, Jörg K. H.; Hutter, Frank Towards Generative RNA Design with Tertiary Interactions Workshop The Generative and Experimental perspectives in bioMolecular design (GEM) workshop (ICLR 2024), 2024, (Oral Presentation). @workshop{nokey,
title = {Towards Generative RNA Design with Tertiary Interactions},
author = {Sharat Patil and Frederic Runge and Jörg K. H. Franke and Frank Hutter},
year = {2024},
booktitle = {The Generative and Experimental perspectives in bioMolecular design (GEM) workshop (ICLR 2024)},
keywords = {}
}
|
Kohli, Ravin; Feurer, Matthias; Eggensperger, Katharina; Bischl, Bernd; Hutter, Frank Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning Inproceedings In: Data-centric Machine Learning Research (DMLR) Workshop (ICLR 2024), 2024. @inproceedings{Kohli2024,
title = {Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning},
author = {Ravin Kohli and Matthias Feurer and Katharina Eggensperger and Bernd Bischl and Frank Hutter},
year = {2024},
booktitle = {Data-centric Machine Learning Research (DMLR) Workshop (ICLR 2024)},
journal = {Data-centric Machine Learning Research (DMLR) Workshop at ICLR},
keywords = {}
}
|
Franke, Jörg; Hefenbrock, Michael; Hutter, Frank Preserving Principal Subspaces to Reduce Catastrophic Forgetting in Fine-tuning Inproceedings In: Mathematical and Empirical Understanding of Foundation Models
(ME-FoMo) Workshop, 2024. @inproceedings{nokey,
title = {Preserving Principal Subspaces to Reduce Catastrophic Forgetting in Fine-tuning},
author = {Jörg Franke and Michael Hefenbrock and Frank Hutter},
year = {2024},
booktitle = {Mathematical and Empirical Understanding of Foundation Models
(ME-FoMo) Workshop},
journal = {Workshop on Mathematical and Empirical Understanding of Foundation Models (ME-FoMo)},
keywords = {}
}
|
Grazzi, Riccardo; Siems, Julien; Schrodi, Simon; Brox, Thomas; Hutter, Frank Is Mamba Capable of In-Context Learning? Inproceedings In: Mathematical and Empirical Understanding of Foundation Models (ME-FoMo) Workshop, 2024. @inproceedings{Grazzi2024,
title = {Is Mamba Capable of In-Context Learning?},
author = {Riccardo Grazzi and Julien Siems and Simon Schrodi and Thomas Brox and Frank Hutter },
year = {2024},
booktitle = {Mathematical and Empirical Understanding of Foundation Models (ME-FoMo) Workshop},
keywords = {}
}
|
Runge, Frederic; Franke, Jörg K. H.; Fertmann, Daniel; Hutter, Frank Rethinking Performance Measures of RNA Secondary Structure Problems Workshop Machine Learning for Structural Biology Workshop, (NeruIPS 2023), 2023. @workshop{runge2023rethinking,
title = {Rethinking Performance Measures of RNA Secondary Structure Problems},
author = {Frederic Runge and Jörg K. H. Franke and Daniel Fertmann and Frank Hutter},
year = {2023},
booktitle = {Machine Learning for Structural Biology Workshop, (NeruIPS 2023)},
keywords = {}
}
|
Franke, Jörg K. H.; Hefenbrock, Michael; Koehler, Gregor; Hutter, Frank New Horizons in Parameter Regularization: A Constraint Approach Inproceedings In: OPT2023: 15th Annual Workshop on Optimization for Machine Learning, (NeurIPS 2023), 2023. @inproceedings{franke2023new,
title = {New Horizons in Parameter Regularization: A Constraint Approach},
author = {Jörg K. H. Franke and Michael Hefenbrock and Gregor Koehler and Frank Hutter},
year = {2023},
booktitle = {OPT2023: 15th Annual Workshop on Optimization for Machine Learning, (NeurIPS 2023)},
keywords = {}
}
|
Shala, Gresa; Arango, Sebastian Pineda; Biedenkapp, André; Hutter, Frank; Grabocka, Josif AutoRL-Bench 1.0 Inproceedings In: Workshop on Meta-Learning (MetaLearn@NeurIPS'22), 2022. @inproceedings{shala-metalearn22a,
title = {AutoRL-Bench 1.0},
author = {Gresa Shala and Sebastian Pineda Arango and André Biedenkapp and Frank Hutter and Josif Grabocka},
year = {2022},
booktitle = {Workshop on Meta-Learning (MetaLearn@NeurIPS'22)},
keywords = {}
}
|
Shala, Gresa; Biedenkapp, André; Hutter, Frank; Grabocka, Josif Gray-Box Gaussian Processes for Automated Reinforcement Learning Inproceedings In: Workshop on Meta-Learning (MetaLearn@NeurIPS'22), 2022. @inproceedings{shala-metalearn22b,
title = {Gray-Box Gaussian Processes for Automated Reinforcement Learning},
author = {Gresa Shala and André Biedenkapp and Frank Hutter and Josif Grabocka},
year = {2022},
booktitle = {Workshop on Meta-Learning (MetaLearn@NeurIPS'22)},
keywords = {}
}
|
Hollmann, Noah; Müller, Samuel; Eggensperger, Katharina; Hutter, Frank TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Inproceedings In: NeurIPS 2022 First Table Representation Workshop, 2022. @inproceedings{hollmann2022tabpfn,
title = {TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second},
author = {Noah Hollmann and Samuel Müller and Katharina Eggensperger and Frank Hutter},
year = {2022},
booktitle = {NeurIPS 2022 First Table Representation Workshop},
keywords = {}
}
|
Müller, Samuel; Arango, Sebastian Pineda; Feurer, Matthias; Grabocka, Josif; Hutter, Frank Bayesian Optimization with a Neural Network Meta-learned on Synthetic Data Only Workshop Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @workshop{müller2022bayesian,
title = {Bayesian Optimization with a Neural Network Meta-learned on Synthetic Data Only},
author = {Samuel Müller and Sebastian Pineda Arango and Matthias Feurer and Josif Grabocka and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Schrodi, Simon; Stoll, Danny; Ru, Binxin; Sukthanker, Rhea Sanjay; Brox, Thomas; Hutter, Frank Towards Discovering Neural Architectures from Scratch Inproceedings In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{schrodi2022towards,
title = {Towards Discovering Neural Architectures from Scratch},
author = {Simon Schrodi and Danny Stoll and Binxin Ru and Rhea Sanjay Sukthanker and Thomas Brox and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Adriaensen, Steven; Rakotoarison, Herilalaina; Müller, Samuel; Hutter, Frank Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Inproceedings In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{adriaensen2022efficientb,
title = {Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks},
author = {Steven Adriaensen and Herilalaina Rakotoarison and Samuel Müller and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Sukthanker, Rhea Sanjay; Krishnakumar, Arjun; Patil, Sharat; Hutter, Frank GraViT-E: Gradient-based Vision Transformer Search with Entangled Weights Inproceedings In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{sukthanker2022gravite,
title = {GraViT-E: Gradient-based Vision Transformer Search with Entangled Weights},
author = {Rhea Sanjay Sukthanker and Arjun Krishnakumar and Sharat Patil and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Watanabe, Shuhei; Awad, Noor; Onishi, Masaki; Hutter, Frank Multi-objective Tree-structured Parzen Estimator Meets Meta-learning Inproceedings In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{watanabe2022multiobjective,
title = {Multi-objective Tree-structured Parzen Estimator Meets Meta-learning},
author = {Shuhei Watanabe and Noor Awad and Masaki Onishi and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Mallik, Neeratyoy; Hvarfner, Carl; Stoll, Danny; Janowski, Maciej; Bergman, Eddie; Lindauer, Marius; Nardi, Luigi; Hutter, Frank PriorBand: HyperBand + Human Expert Knowledge Inproceedings In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{mallik-neurips22a,
title = {PriorBand: HyperBand + Human Expert Knowledge},
author = {Neeratyoy Mallik and Carl Hvarfner and Danny Stoll and Maciej Janowski and Eddie Bergman and Marius Lindauer and Luigi Nardi and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Dooley, Samuel; Sukthanker, Rhea Sanjay; Dickerson, John P; White, Colin; Hutter, Frank; Goldblum, Micah On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition Inproceedings In: Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 2022. @inproceedings{dooley2022on,
title = {On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition},
author = {Samuel Dooley and Rhea Sanjay Sukthanker and John P Dickerson and Colin White and Frank Hutter and Micah Goldblum},
year = {2022},
booktitle = {Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022},
keywords = {}
}
|
Dooley, Samuel; Sukthanker, Rhea Sanjay; Dickerson, John P; White, Colin; Hutter, Frank; Goldblum, Micah On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition Inproceedings In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{dooley2022on,
title = {On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition},
author = {Samuel Dooley and Rhea Sanjay Sukthanker and John P Dickerson and Colin White and Frank Hutter and Micah Goldblum},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Shala, Gresa; Elsken, Thomas; Hutter, Frank; Grabocka, Josif Transfer NAS with Meta-learned Bayesian Surrogates Inproceedings In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{shala2022transfer,
title = {Transfer NAS with Meta-learned Bayesian Surrogates},
author = {Gresa Shala and Thomas Elsken and Frank Hutter and Josif Grabocka},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Watanabe, Shuhei; Hutter, Frank c-TPE: Generalizing Tree-structured Parzen Estimator with Inequality Constraints for Continuous and Categorical Hyperparameter Optimization Inproceedings In: NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems, 2022. @inproceedings{watanabe2022cTPE,
title = {c-TPE: Generalizing Tree-structured Parzen Estimator with Inequality Constraints for Continuous and Categorical Hyperparameter Optimization},
author = {Shuhei Watanabe and Frank Hutter},
year = {2022},
booktitle = {NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems},
keywords = {}
}
|
