| 2026 | ESANN | LMAP: Local PCA Models with Global MDS Embeddings. | Oliver Kramer |
| 2026 | ESANN | Linear Evaluation Complexity of Surrogate-Assisted (1+1)-EA on OneMax. | Oliver Kramer |
| 2025 | ESANN | Unlocking Structured Thinking in Language Models with Cognitive Prompting. | Oliver Kramer, Jill Baumann |
| 2025 | GECCO | An LLM-Based Multi-Agent Framework for Evolutionary Blackbox Optimization. | Jill Baumann, Oliver Kramer |
| 2024 | ESANN | LLaMA Tunes CMA-ES. | Oliver Kramer |
| 2024 | ESANN | Towards Explainable Evolution Strategies with Large Language Models. | Jill Baumann, Oliver Kramer |
| 2023 | ESANN | Enhancing Evolution Strategies with Evolution Path Bias. | Oliver Kramer |
| 2023 | ESANN | Wind Power Prediction with ETSformer. | Oliver Kramer, Jill Baumann |
| 2022 | ESANN | A Fast and Simple Evolution Strategy with Covariance Matrix Estimation. | Oliver Kramer |
| 2022 | GECCO | An evolutionary fragment-based approach to molecular fingerprint reconstruction. | Tim Cofala, Oliver Kramer |
| 2021 | ESANN | Evolutionary Deep Multi-Task Learning. | Patrick Burke, Jonas Prellberg, Oliver Kramer |
| 2021 | ESANN | Transformers for Molecular Graph Generation. | Tim Cofala, Oliver Kramer |
| 2021 | IJCNN | Spatial Generation of Molecules with Transformers. | Tim Cofala, Thomas Teusch, Oliver Kramer |
| 2020 | ESANN | Tournament Selection Improves Cartesian Genetic Programming for Atari Games. | Tim Cofala, Lars Elend, Oliver Kramer |
| 2020 | ESANN | Learning Step Size Adaptation in Evolution Strategies. | Oliver Kramer |
| 2020 | ESANN | Adversarials-1 in Speech Recognition: Detection and Defence. | Nils Worzyk, Stefan Niewerth, Oliver Kramer |
| 2020 | IJCNN | Modeling H2O/Rutile-TiO2(110) Potential Energy Surfaces with Deep Networks. | Stefan Oehmcke, Thomas Teusch, Thorben Petersen, Thorsten Klner, Oliver Kramer |
| 2020 | IJCNN | Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent. | Jonas Prellberg, Oliver Kramer |
| 2020 | KI | Earnings Prediction with Deep Learning. | Lars Elend, Sebastian A. Tideman, Kerstin Lopatta, Oliver Kramer |
| 2020 | PPSN | Evolutionary Multi-objective Design of SARS-CoV-2 Protease Inhibitor Candidates. | Tim Cofala, Lars Elend, Philip Mirbach, Jonas Prellberg, Thomas Teusch, Oliver Kramer |
| 2019 | CEC | Evolution of Stacked Autoencoders. | Tim Silhan, Stefan Oehmcke, Oliver Kramer |
| 2019 | ICANN | Predictive Uncertainty Estimation with Temporal Convolutional Networks for Dynamic Evolutionary Optimization. | Almuth Meier, Oliver Kramer |
| 2019 | ICANN | Physical Adversarial Attacks by Projecting Perturbations. | Nils Worzyk, Hendrik Kahlen, Oliver Kramer |
| 2018 | ESANN | Properties of adv-1 - Adversarials of Adversarials. | Nils Worzyk, Oliver Kramer |
| 2018 | GECCO | Recurrent neural network-predictions for PSO in dynamic optimization. | Almuth Meier, Oliver Kramer |
| 2018 | ICAART | Predicting Read- and Write-Operation Availabilities of Quorum Protocols based on Graph Properties. | Robert Schadek, Oliver Kramer, Oliver E. Theel |
| 2018 | ICANN | Direct Training of Dynamic Observation Noise with UMarineNet. | Stefan Oehmcke, Oliver Zielinski, Oliver Kramer |
| 2018 | ICPRAM | Dimensionality Reduction with Evolutionary Shephard-Kruskal Embeddings. | Oliver Kramer |
| 2018 | IJCNN | Multi-label Classification of Surgical Tools with Convolutional Neural Networks. | Jonas Prellberg, Oliver Kramer |
| 2018 | IJCNN | Adversarials | Nils Worzyk, Oliver Kramer |
| 2018 | KI | Knowledge Sharing for Population Based Neural Network Training. | Stefan Oehmcke, Oliver Kramer |
| 2018 | KI | Limited Evaluation Evolutionary Optimization of Large Neural Networks. | Jonas Prellberg, Oliver Kramer |
| 2018 | PPSN | Lamarckian Evolution of Convolutional Neural Networks. | Jonas Prellberg, Oliver Kramer |
| 2017 | ICONIP | Spatio-Temporal Wind Power Prediction Using Recurrent Neural Networks. | Wei Lee Woon, Stefan Oehmcke, Oliver Kramer |
| 2017 | IJCNN | Manifold learning with iterative dimensionality photo-projection. | Daniel Lckehe, Stefan Oehmcke, Oliver Kramer |
| 2017 | IJCNN | Recurrent neural networks and exponential PAA for virtual marine sensors. | Stefan Oehmcke, Oliver Zielinski, Oliver Kramer |
| 2017 | KI | Evolving Kernel PCA Pipelines with Evolution Strategies. | Oliver Kramer |
| 2017 | KI | An Experimental Study of Dimensionality Reduction Methods. | Almuth Meier, Oliver Kramer |
| 2016 | CEC | Constrained evolutionary wind turbine placement with penalty functions. | Daniel Lckehe, Markus Wagner, Oliver Kramer |
| 2016 | COCOA | Tackling Common Due Window Problem with a Two-Layered Approach. | Abhishek Awasthi, Jrg Lssig, Thomas Weise, Oliver Kramer |
| 2016 | ICAART | Improving Cascade Classifier Precision by Instance Selection and Outlier Generation. | Judith Neugebauer, Oliver Kramer, Michael Sonnenschein |
| 2016 | ICAART | Instance Selection and Outlier Generation to Improve the Cascade Classifier Precision. | Judith Neugebauer, Oliver Kramer, Michael Sonnenschein |
| 2016 | IJCNN | Generalized cascade classification model with customized transformation based ensembles. | Judith Neugebauer, Jrg Bremer, Christian Hinrichs, Oliver Kramer, Michael Sonnenschein |
| 2016 | IJCNN | kNN ensembles with penalized DTW for multivariate time series imputation. | Stefan Oehmcke, Oliver Zielinski, Oliver Kramer |
| 2016 | IJCNN | Enhanced SVR ensembles for wind power prediction. | Wei Lee Woon, Oliver Kramer |
| 2015 | AAAI | On Heterogeneous Machine Learning Ensembles for Wind Power Prediction. | Justin Heinermann, Oliver Kramer |
| 2015 | CEC | Evolution strategies with Ledoit-Wolf covariance matrix estimation. | Oliver Kramer |
| 2015 | CEC | Visualization of evolutionary runs with isometric mapping. | Oliver Kramer, Daniel Lckehe |
| 2015 | CEC | Evolutionary feature weighting for wind power prediction with nearest neighbor regression. | Nils Andr Treiber, Oliver Kramer |
| 2015 | ESANN | Supervised Manifold Learning with Incremental Stochastic Embeddings. | Oliver Kramer |
| 2015 | ESANN | Comparison of Numerical Models and Statistical Learning for Wind Speed Prediction. | Nils Andr Treiber, Stephan Spth, Justin Heinermann, Lueder von Bremen, Oliver Kramer |
| 2015 | GECCO | On Evolutionary Approaches to Wind Turbine Placement with Geo-Constraints. | Daniel Lckehe, Markus Wagner, Oliver Kramer |
| 2015 | ICPRAM | Resilient Propagation for Multivariate Wind Power Prediction. | Jannes Stubbemann, Nils Andr Treiber, Oliver Kramer |
| 2015 | IJCNN | Dimensionality reduction in continuous evolutionary optimization. | Oliver Kramer |
| 2015 | KI | Short-Term Wind Power Prediction with Combination of Speed and Power Time Series. | Justin Heinermann, Oliver Kramer |
| 2015 | KI | Event Detection in Marine Time Series Data. | Stefan Oehmcke, Oliver Zielinski, Oliver Kramer |
| 2014 | GECCO | A variable kernel function for hybrid unsupervised kernel regression. | Daniel Lckehe, Oliver Kramer |
| 2014 | HAIS | Wind Power Ramp Event Prediction with Support Vector Machines. | Oliver Kramer, Nils Andr Treiber, Michael Sonnenschein |
| 2014 | ICANN | Precise Wind Power Prediction with SVM Ensemble Regression. | Justin Heinermann, Oliver Kramer |
| 2014 | ICANN | Leaving Local Optima in Unsupervised Kernel Regression. | Daniel Lckehe, Oliver Kramer |
| 2014 | KI | Multi-stage Constraint Surrogate Models for Evolution Strategies. | Jendrik Poloczek, Oliver Kramer |
| 2014 | KI | Evolutionary Turbine Selection for Wind Power Predictions. | Nils Andr Treiber, Oliver Kramer |
| 2013 | CEC | An adaptive penalty function with meta-modeling for constrained problems. | Oliver Kramer, Uli Schlachter, Valentin Spreckels |
| 2013 | KI | On GPU-Based Nearest Neighbor Queries for Large-Scale Photometric Catalogs in Astronomy. | Justin Heinermann, Oliver Kramer, Kai Lars Polsterer, Fabian Gieseke |
| 2013 | KI | On Mutation Rate Tuning and Control for the (1+1)-EA. | Oliver Kramer |
| 2013 | KI | Local SVM Constraint Surrogate Models for Self-adaptive Evolution Strategies. | Jendrik Poloczek, Oliver Kramer |
| 2013 | SYNASC | Common Due-Date Problem: Exact Polynomial Algorithms for a Given Job Sequence. | Abhishek Awasthi, Jrg Lssig, Oliver Kramer |
| 2012 | HAIS | On Ensemble Classifiers for Nonintrusive Appliance Load Monitoring. | Oliver Kramer, Olaf Wilken, Petra Beenken, Andreas Hein, Andreas Hwel, Thole Klingenberg, Christopher Meinecke, T. Raabe, Michael Sonnenschein |
| 2012 | ICAART | On Unsupervised Nearest-neighbor Regression and Robust Loss Functions. | Oliver Kramer |
| 2012 | ICAART | Sorting High-Dimensional Patterns with Unsupervised Nearest Neighbors. | Oliver Kramer |
| 2012 | ICDM | Unsupervised Multi-class Regularized Least-Squares Classification. | Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer |
| 2012 | ICPRAM | Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines. | Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer |
| 2012 | KI | Unsupervised Nearest Neighbors with Kernels. | Oliver Kramer |
| 2011 | ICAART | Machine Symbol Grounding and Optimization. | Oliver Kramer |
| 2011 | ICMLA | Dimensionality Reduction by Unsupervised K-Nearest Neighbor Regression. | Oliver Kramer |
| 2011 | ICNC | Analysis of wind energy time series with kernel methods and neural networks. | Oliver Kramer, Fabian Gieseke |
| 2011 | KI | Speedy Local Search for Semi-Supervised Regularized Least-Squares. | Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala |
| 2011 | KI | Variance Scaling for EDAs Revisited. | Oliver Kramer, Fabian Gieseke |
| 2011 | KI | Hierarchically Structured Energy Markets as Novel Smart Grid Control Approach. | Jrg Lssig, Benjamin Satzger, Oliver Kramer |
| 2010 | GECCO | DBSCAN-based multi-objective niching to approximate equivalent pareto-subsets. | Oliver Kramer, Holger Danielsiek |
| 2010 | HAIS | Power Prediction in Smart Grids with Evolutionary Local Kernel Regression. | Oliver Kramer, Benjamin Satzger, Jrg Lssig |
| 2010 | HAIS | Recognition of Manual Actions Using Vector Quantization and Dynamic Time Warping. | Marcel Martin, Jonathan Maycock, Florian Paul Schmidt, Oliver Kramer |
| 2010 | ICMLA | Detecting Quasars in Large-Scale Astronomical Surveys. | Fabian Gieseke, Kai Lars Polsterer, Andreas Thom, Peter Zinn, Dominik Bomanns, Ralf-Jurgen Dettmar, Oliver Kramer, Jan Vahrenhold |
| 2010 | KI | Recognition and Visualization of Music Sequences Using Self-organizing Feature Maps. | Tobias Hein, Oliver Kramer |
| 2010 | KI | Acceleration of DBSCAN-Based Clustering with Reduced Neighborhood Evaluations. | Andreas Thom, Oliver Kramer |
| 2009 | GECCO | On the hybridization of SMS-EMOA and local search for continuous multiobjective optimization. | Patrick Koch, Oliver Kramer, Gnter Rudolph, Nicola Beume |
| 2009 | GECCO | Modeling evolutionary fitness for DNA motif discovery. | Sven Rahmann, Tobias Marschall, Frank Behler, Oliver Kramer |
| 2009 | ICML | Fast evolutionary maximum margin clustering. | Fabian Gieseke, Tapio Pahikkala, Oliver Kramer |
| 2009 | KI | Surrogate Constraint Functions for CMA Evolution Strategies. | Oliver Kramer, Andr Barthelmes, Gnter Rudolph |
| 2009 | KI | Stochastic Feature Selection in Support Vector Machine Based Instrument Recognition. | Oliver Kramer, Tobias Hein |
| 2009 | KI | Rake Selection: A Novel Evolutionary Multi-Objective Optimization Algorithm. | Oliver Kramer, Patrick Koch |
| 2008 | PPSN | Premature Convergence in Constrained Continuous Search Spaces. | Oliver Kramer |
| 2007 | GECCO | Sex and death: towards biologically inspired heuristics for constraint handling. | Oliver Kramer, Stephan Brgger, Dejan Lazovic |
| 2007 | GECCO | An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments. | Oliver Kramer, Bartek Gloger, Andreas Goebels |
| 2007 | GECCO | Self-adaptive partially mapped crossover. | Oliver Kramer, Patrick Koch |
| 2006 | CEC | Evolution of Human-Competitive Agents in Modern Computer Games. | Steffen Priesterjahn, Oliver Kramer, Alexander Weimer, Andreas Goebels |
| 2006 | ECAI | AI and Music: Toward a Taxonomy of Problem Classes. | Oliver Kramer, Benno Stein, Jrgen Wall |
| 2005 | CEC | A new mutation operator for evolution strategies for constrained problems. | Oliver Kramer, Chuan-Kang Ting, Hans Kleine Bning |
| 2005 | GECCO | A mutation operator for evolution strategies to handle constrained problems. | Oliver Kramer, Chuan-Kang Ting, Hans Kleine Bning |
| 2005 | ICNC | Evolution of Reactive Rules in Multi Player Computer Games Based on Imitation. | Steffen Priesterjahn, Oliver Kramer, Alexander Weimer, Andreas Goebels |