A new mutation operator for evolution strategies for constrained problems. - Oliver Kramer 001; Chuan-Kang Ting; Hans Kleine Büning (Congress on Evolutionary Computation, 2005)

A mutation operator for evolution strategies to handle constrained problems. - Oliver Kramer 001; Chuan-Kang Ting; Hans Kleine Büning (GECCO, 2005)

Evolution of Reactive Rules in Multi Player Computer Games Based on Imitation. - Steffen Priesterjahn; Oliver Kramer 001; Alexander Weimer; Andreas Goebels (ICNC (2), 2005)

Evolution of Human-Competitive Agents in Modern Computer Games. - Steffen Priesterjahn; Oliver Kramer 001; Alexander Weimer; Andreas Goebels (IEEE Congress on Evolutionary Computation, 2006)

AI and Music: Toward a Taxonomy of Problem Classes. - Oliver Kramer 001; Benno Stein 001; Jürgen Wall (ECAI, 2006)

On three new approaches to handle constraints within evolution strategies. - Oliver Kramer 001; Hans-Paul Schwefel (Nat. Comput., 2006)

Sex and death: towards biologically inspired heuristics for constraint handling. - Oliver Kramer 001; Stephan Brügger; Dejan Lazovic (GECCO, 2007)

An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments. - Oliver Kramer 001; Bartek Gloger; Andreas Goebels (GECCO, 2007)

Self-adaptive partially mapped crossover. - Oliver Kramer 001; Patrick Koch (GECCO, 2007)

Self-Adaptive Inversion Mutation for Combinatorial Representations. - Oliver Kramer 001 (GEM, 2008)

Premature Convergence in Constrained Continuous Search Spaces. - Oliver Kramer 001 (PPSN, 2008)

Self-Adaptive Heuristics for Evolutionary Computation - Oliver Kramer 001 (Springer, 2008)

Computational Intelligence - Eine Einführung. - Oliver Kramer 001 (Springer, 2009)

On the hybridization of SMS-EMOA and local search for continuous multiobjective optimization. - Patrick Koch; Oliver Kramer 001; Günter Rudolph; Nicola Beume (GECCO, 2009)

Modeling evolutionary fitness for DNA motif discovery. - Sven Rahmann; Tobias Marschall; Frank Behler; Oliver Kramer 001 (GECCO, 2009)

Fast Blackbox Optimization: Iterated Local Search and the Strategy of Powell. - Oliver Kramer 001 (GEM, 2009)

Fast evolutionary maximum margin clustering. - Fabian Gieseke; Tapio Pahikkala; Oliver Kramer 001 (ICML, 2009)

Surrogate Constraint Functions for CMA Evolution Strategies. - Oliver Kramer 001; André Barthelmes; Günter Rudolph (KI, 2009)

Stochastic Feature Selection in Support Vector Machine Based Instrument Recognition. - Oliver Kramer 001; Tobias Hein (KI, 2009)

Rake Selection: A Novel Evolutionary Multi-Objective Optimization Algorithm. - Oliver Kramer 001; Patrick Koch (KI, 2009)

Learning the track and planning ahead in a car racing controller. - Jan Quadflieg; Mike Preuss; Oliver Kramer 001; Günter Rudolph (CIG, 2010)

DBSCAN-based multi-objective niching to approximate equivalent pareto-subsets. - Oliver Kramer 001; Holger Danielsiek (GECCO, 2010)

Managing Energy in a Virtual Power Plant Using Learning Classifier Systems. - Oliver Kramer 001; Benjamin Satzger; Jörg Lässig (GEM, 2010)

Power Prediction in Smart Grids with Evolutionary Local Kernel Regression. - Oliver Kramer 001; Benjamin Satzger; Jörg Lässig (HAIS (1), 2010)

Recognition of Manual Actions Using Vector Quantization and Dynamic Time Warping. - Marcel Martin; Jonathan Maycock; Florian Paul Schmidt; Oliver Kramer 001 (HAIS (1), 2010)

Adaptive Heuristic Estimates for Automated Planning Using Regression. - Benjamin Satzger; Oliver Kramer 001; Jörg Lässig (IC-AI, 2010)

Detecting Quasars in Large-Scale Astronomical Surveys. - Fabian Gieseke; Kai Lars Polsterer; Andreas Thom 001; Peter Zinn; Dominik Bomanns; Ralf-Jurgen Dettmar; Oliver Kramer 001; Jan Vahrenhold (ICMLA, 2010)

Recognition and Visualization of Music Sequences Using Self-organizing Feature Maps. - Tobias Hein; Oliver Kramer 001 (KI, 2010)

Acceleration of DBSCAN-Based Clustering with Reduced Neighborhood Evaluations. - Andreas Thom 001; Oliver Kramer 001 (KI, 2010)

Theory and Applications of Evolutionary Computation. - Tzung-Pei Hong; Chuan-Kang Ting; Oliver Kramer 001 (Appl. Comput. Intell. Soft Comput., 2010)

A Review of Constraint-Handling Techniques for Evolution Strategies. - Oliver Kramer 001 (Appl. Comput. Intell. Soft Comput., 2010)

Evolutionary self-adaptation: a survey of operators and strategy parameters. - Oliver Kramer 001 (Evol. Intell., 2010)

Covariance Matrix Self-Adaptation and Kernel Regression - Perspectives of Evolutionary Optimization in Kernel Machines. - Oliver Kramer 001 (Fundam. Informaticae, 2010)

Iterated local search with Powell's method: a memetic algorithm for continuous global optimization. - Oliver Kramer 001 (Memetic Comput., 2010)

Monitoring of multivariate wind resources with self-organizing maps and slow feature analysis. - Oliver Kramer 001; Tobias Hein (CIASG, 2011)

Dimensionality Reduction by Unsupervised K-Nearest Neighbor Regression. - Oliver Kramer 001 (ICMLA (1), 2011)

Analysis of wind energy time series with kernel methods and neural networks. - Oliver Kramer 001; Fabian Gieseke (ICNC, 2011)

Self-Stabilization in Hierarchically Structured Energy Markets. - Jörg Lässig; Benjamin Satzger; Oliver Kramer 001 (ITNG, 2011)

Speedy Local Search for Semi-Supervised Regularized Least-Squares. - Fabian Gieseke; Oliver Kramer 001; Antti Airola; Tapio Pahikkala (KI, 2011)

Variance Scaling for EDAs Revisited. - Oliver Kramer 001; Fabian Gieseke (KI, 2011)

Hierarchically Structured Energy Markets as Novel Smart Grid Control Approach. - Jörg Lässig; Benjamin Satzger; Oliver Kramer 001 (KI, 2011)

Short-Term Wind Energy Forecasting Using Support Vector Regression. - Oliver Kramer 001; Fabian Gieseke (SOCO, 2011)

Unsupervised K-Nearest Neighbor Regression - Oliver Kramer 001 (CoRR, 2011)

A Clustering-Based Niching Framework for the Approximation of Equivalent Pareto-Subsets. - Oliver Kramer 001; Holger Danielsiek (Int. J. Comput. Intell. Appl., 2011)

On Machine Symbol Grounding and Optimization. - Oliver Kramer 001 (Int. J. Cogn. Informatics Nat. Intell., 2011)

Derivative-Free Optimization. - Oliver Kramer 001; David Echeverría Ciaurri; Slawomir Koziel (Computational Optimization, Methods and Algorithms, 2011)

A Particle Swarm Embedding Algorithm for Nonlinear Dimensionality Reduction. - Oliver Kramer 001 (ANTS, 2012)

On Evolutionary Approaches to Unsupervised Nearest Neighbor Regression. - Oliver Kramer 001 (EvoApplications, 2012)

On Ensemble Classifiers for Nonintrusive Appliance Load Monitoring. - Oliver Kramer 001; Olaf Wilken; Petra Beenken; Andreas Hein 001; Andreas Hüwel; Thole Klingenberg; Christopher Meinecke; T. Raabe; Michael Sonnenschein (HAIS (1), 2012)

On Unsupervised Nearest-neighbor Regression and Robust Loss Functions. - Oliver Kramer 001 (ICAART (1), 2012)

Sorting High-Dimensional Patterns with Unsupervised Nearest Neighbors. - Oliver Kramer 001 (ICAART (Revised Selected Papers), 2012)

Unsupervised Multi-class Regularized Least-Squares Classification. - Tapio Pahikkala; Antti Airola; Fabian Gieseke; Oliver Kramer 001 (ICDM, 2012)

Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines. - Fabian Gieseke; Antti Airola; Tapio Pahikkala; Oliver Kramer 001 (ICPRAM (1), 2012)

Unsupervised Nearest Neighbors with Kernels. - Oliver Kramer 001 (KI, 2012)

Evolutionary kernel density regression. - Oliver Kramer 001; Fabian Gieseke (Expert Syst. Appl., 2012)

Efficient recurrent local search strategies for semi- and unsupervised regularized least-squares classification. - Fabian Gieseke; Oliver Kramer 001; Antti Airola; Tapio Pahikkala (Evol. Intell., 2012)

Evolutionary kernel machines. - Oliver Kramer 001; Christian Igel; Günter Rudolph (Evol. Intell., 2012)

An adaptive penalty function with meta-modeling for constrained problems. - Oliver Kramer 001; Uli Schlachter; Valentin Spreckels (IEEE Congress on Evolutionary Computation, 2013)

Aircraft Landing Problem: An Efficient Algorithm for a Given Landing Sequence. - Abhishek Awasthi; Oliver Kramer 001; Jörg Lässig (CSE, 2013)

Support Vector Machines for Wind Energy Prediction in Smart Grids. - Oliver Kramer 001; Nils André Treiber; Fabian Gieseke (EnviroInfo, 2013)

Towards Non-linear Constraint Estimation for Expensive Optimization. - Fabian Gieseke; Oliver Kramer 001 (EvoApplications, 2013)

On Missing Data Hybridizations for Dimensionality Reduction. - Oliver Kramer 001 (Hybrid Metaheuristics, 2013)

Fast Submanifold Learning with Unsupervised Nearest Neighbors. - Oliver Kramer 001 (ICANNGA, 2013)

On GPU-Based Nearest Neighbor Queries for Large-Scale Photometric Catalogs in Astronomy. - Justin Heinermann; Oliver Kramer 001; Kai Lars Polsterer; Fabian Gieseke (KI, 2013)

On Mutation Rate Tuning and Control for the (1+1)-EA. - Oliver Kramer 001 (KI, 2013)

Local SVM Constraint Surrogate Models for Self-adaptive Evolution Strategies. - Jendrik Poloczek; Oliver Kramer 001 (KI, 2013)

Common Due-Date Problem: Exact Polynomial Algorithms for a Given Job Sequence. - Abhishek Awasthi; Jörg Lässig; Oliver Kramer 001 (SYNASC, 2013)

Aircraft Landing Problem: Efficient Algorithm for a Given Landing Sequence. - Abhishek Awasthi; Oliver Kramer 001; Jörg Lässig (CoRR, 2013)

Learning morphological maps of galaxies with unsupervised regression. - Oliver Kramer 001; Fabian Gieseke; Kai Lars Polsterer (Expert Syst. Appl., 2013)

Wind energy prediction and monitoring with neural computation. - Oliver Kramer 001; Fabian Gieseke; Benjamin Satzger (Neurocomputing, 2013)

Goal distance estimation for automated planning using neural networks and support vector machines. - Benjamin Satzger; Oliver Kramer 001 (Nat. Comput., 2013)

Dimensionality Reduction with Unsupervised Nearest Neighbors - Oliver Kramer 001 (Springer, 2013)

A Brief Introduction to Continuous Evolutionary Optimization. - Oliver Kramer 001 (Springer, 2014)

Common Due-Window problem: Polynomial algorithms for a given processing sequence. - Abhishek Awasthi; Jörg Lässig; Oliver Kramer 001; Thomas Weise 001 (CIPLS, 2014)

Common Due-Date Problem: Linear Algorithm for a Given Job Sequence. - Jörg Lässig; Abhishek Awasthi; Oliver Kramer 001 (CSE, 2014)

An Evolutionary Approach to Geo-Planning of Renewable Energies. - Daniel Lückehe; Oliver Kramer 001; Manfred Weisensee (EnviroInfo, 2014)

Wind Power Prediction with Cross-Correlation Weighted Nearest Neighbors. - Nils André Treiber; Oliver Kramer 001 (EnviroInfo, 2014)

A variable kernel function for hybrid unsupervised kernel regression. - Daniel Lückehe; Oliver Kramer 001 (GECCO (Companion), 2014)

Wind Power Ramp Event Prediction with Support Vector Machines. - Oliver Kramer 001; Nils André Treiber; Michael Sonnenschein (HAIS, 2014)

Precise Wind Power Prediction with SVM Ensemble Regression. - Justin Heinermann; Oliver Kramer 001 (ICANN, 2014)

Leaving Local Optima in Unsupervised Kernel Regression. - Daniel Lückehe; Oliver Kramer 001 (ICANN, 2014)

Multi-stage Constraint Surrogate Models for Evolution Strategies. - Jendrik Poloczek; Oliver Kramer 001 (KI, 2014)

Evolutionary Turbine Selection for Wind Power Predictions. - Nils André Treiber; Oliver Kramer 001 (KI, 2014)

Activity Recognition Using Non-intrusive Appliance Load Monitoring. - Olaf Wilken; Oliver Kramer 001; Enno-Edzard Steen; Andreas Hein 001 (PECCS, 2014)

A Framework for Data Mining in Wind Power Time Series. - Oliver Kramer 001; Fabian Gieseke; Justin Heinermann; Jendrik Poloczek; Nils André Treiber (DARE, 2014)

KNN Regression as Geo-Imputation Method for Spatio-Temporal Wind Data. - Jendrik Poloczek; Nils André Treiber; Oliver Kramer 001 (SOCO-CISIS-ICEUTE, 2014)

Energy Informatics - Current and Future Research Directions. - Christoph Goebel; Hans-Arno Jacobsen; Victor del Razo; Christoph Doblander; José Rivera; Jens P. Ilg; Christoph M. Flath; Hartmut Schmeck; Christof Weinhardt; Daniel Pathmaperuma; Hans-Jürgen Appelrath; Michael Sonnenschein; et al. (Bus. Inf. Syst. Eng., 2014)

A Novel Approach to the Common Due-Date Problem on Single and Parallel Machines. - Abhishek Awasthi; Jörg Lässig; Oliver Kramer 001 (CoRR, 2014)

Fast and simple gradient-based optimization for semi-supervised support vector machines. - Fabian Gieseke; Antti Airola; Tapio Pahikkala; Oliver Kramer 001 (Neurocomputing, 2014)

On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers. - Tapio Pahikkala; Antti Airola; Fabian Gieseke; Oliver Kramer 001 (J. Comput. Sci. Technol., 2014)

Energieinformatik - Aktuelle und zukünftige Forschungsschwerpunkte. - Christoph Goebel; Hans-Arno Jacobsen; Victor del Razo; Christoph Doblander; José Rivera; Jens P. Ilg; Christoph M. Flath; Hartmut Schmeck; Christof Weinhardt; Daniel Pathmaperuma; Hans-Jürgen Appelrath; Michael Sonnenschein; et al. (Wirtschaftsinf., 2014)

On Heterogeneous Machine Learning Ensembles for Wind Power Prediction. - Justin Heinermann; Oliver Kramer 001 (AAAI Workshop: Computational Sustainability, 2015)

Evolution strategies with Ledoit-Wolf covariance matrix estimation. - Oliver Kramer 001 (CEC, 2015)

Visualization of evolutionary runs with isometric mapping. - Oliver Kramer 001; Daniel Lückehe (CEC, 2015)

Evolutionary feature weighting for wind power prediction with nearest neighbor regression. - Nils André Treiber; Oliver Kramer 001 (CEC, 2015)

Supervised Manifold Learning with Incremental Stochastic Embeddings. - Oliver Kramer 001 (ESANN, 2015)

Comparison of Numerical Models and Statistical Learning for Wind Speed Prediction. - Nils André Treiber; Stephan Späth; Justin Heinermann; Lueder von Bremen; Oliver Kramer 001 (ESANN, 2015)

Hybrid Manifold Clustering with Evolutionary Tuning. - Oliver Kramer 001 (EvoApplications, 2015)

Alternating Optimization of Unsupervised Regression with Evolutionary Embeddings. - Daniel Lückehe; Oliver Kramer 001 (EvoApplications, 2015)

Analysis of Diversity Methods for Evolutionary Multi-objective Ensemble Classifiers. - Stefan Oehmcke; Justin Heinermann; Oliver Kramer 001 (EvoApplications, 2015)

On Evolutionary Approaches to Wind Turbine Placement with Geo-Constraints. - Daniel Lückehe; Markus Wagner 007; Oliver Kramer 001 (GECCO, 2015)

Un-restricted Common Due-Date Problem with Controllable Processing Times - Linear Algorithm for a Given Job Sequence. - Abhishek Awasthi; Jörg Lässig; Oliver Kramer 001 (ICEIS (1), 2015)

Resilient Propagation for Multivariate Wind Power Prediction. - Jannes Stubbemann; Nils André Treiber; Oliver Kramer 001 (ICPRAM (2), 2015)

Dimensionality reduction in continuous evolutionary optimization. - Oliver Kramer 001 (IJCNN, 2015)

Short-Term Wind Power Prediction with Combination of Speed and Power Time Series. - Justin Heinermann; Oliver Kramer 001 (KI, 2015)

Event Detection in Marine Time Series Data. - Stefan Oehmcke; Oliver Zielinski; Oliver Kramer 001 (KI, 2015)

Simulated Annealing With Parameter Tuning for Wind Turbine Placement Optimization. - Daniel Lückehe; Oliver Kramer 001; Manfred Weisensee (LWA, 2015)

Classification Cascades of Overlapping Feature Ensembles for Energy Time Series Data. - Judith Neugebauer; Oliver Kramer 001; Michael Sonnenschein (DARE, 2015)

Cascade Support Vector Machines with Dimensionality Reduction. - Oliver Kramer 001 (Appl. Comput. Intell. Soft Comput., 2015)

Non-intrusive appliance load monitoring with bagging classifiers. - Oliver Kramer 001; Thole Klingenberg; Michael Sonnenschein; Olaf Wilken (Log. J. IGPL, 2015)

Unsupervised nearest neighbor regression for dimensionality reduction. - Oliver Kramer 001 (Soft Comput., 2015)

Constrained evolutionary wind turbine placement with penalty functions. - Daniel Lückehe; Markus Wagner 007; Oliver Kramer 001 (CEC, 2016)

Tackling Common Due Window Problem with a Two-Layered Approach. - Abhishek Awasthi; Jörg Lässig; Thomas Weise 001; Oliver Kramer 001 (COCOA, 2016)

Local Fitness Meta-Models with Nearest Neighbor Regression. - Oliver Kramer 001 (EvoApplications (2), 2016)

Improving Cascade Classifier Precision by Instance Selection and Outlier Generation. - Judith Neugebauer; Oliver Kramer 001; Michael Sonnenschein (ICAART (2), 2016)

Instance Selection and Outlier Generation to Improve the Cascade Classifier Precision. - Judith Neugebauer; Oliver Kramer 001; Michael Sonnenschein (ICAART (Revised Selected Papers), 2016)

Generalized cascade classification model with customized transformation based ensembles. - Judith Neugebauer; Jörg Bremer; Christian Hinrichs; Oliver Kramer 001; Michael Sonnenschein (IJCNN, 2016)

kNN ensembles with penalized DTW for multivariate time series imputation. - Stefan Oehmcke; Oliver Zielinski; Oliver Kramer 001 (IJCNN, 2016)

Enhanced SVR ensembles for wind power prediction. - Wei Lee Woon; Oliver Kramer 001 (IJCNN, 2016)

Evolutionary Multi-objective Ensembles for Wind Power Prediction. - Justin Heinermann; Jörg Lässig; Oliver Kramer 001 (DARE@PKDD/ECML, 2016)

Selection of Numerical Weather Forecast Features for PV Power Predictions with Random Forests. - Björn Wolff; Oliver Kramer 001; Detlev Heinemann (DARE@PKDD/ECML, 2016)

Dimensionality Reduction Hybridizations with Multi-dimensional Scaling. - Oliver Kramer 001 (WSOM, 2016)

Wind Power Prediction with Machine Learning. - Nils André Treiber; Justin Heinermann; Oliver Kramer 001 (Computational Sustainability, 2016)

Statistical Learning for Short-Term Photovoltaic Power Predictions. - Björn Wolff; Elke Lorenz; Oliver Kramer 001 (Computational Sustainability, 2016)

Preferences-Based Choice Prediction in Evolutionary Multi-objective Optimization. - Manish Aggarwal; Justin Heinermann; Stefan Oehmcke; Oliver Kramer 001 (EvoApplications (1), 2017)

Spatio-Temporal Wind Power Prediction Using Recurrent Neural Networks. - Wei Lee Woon; Stefan Oehmcke; Oliver Kramer 001 (ICONIP (5), 2017)

Manifold learning with iterative dimensionality photo-projection. - Daniel Lückehe; Stefan Oehmcke; Oliver Kramer 001 (IJCNN, 2017)

Recurrent neural networks and exponential PAA for virtual marine sensors. - Stefan Oehmcke; Oliver Zielinski; Oliver Kramer 001 (IJCNN, 2017)

Evolving Kernel PCA Pipelines with Evolution Strategies. - Oliver Kramer 001 (KI, 2017)

An Experimental Study of Dimensionality Reduction Methods. - Almuth Meier; Oliver Kramer 001 (KI, 2017)

Finite life span for improving the selection scheme in evolution strategies. - Ali Ahrari; Oliver Kramer 001 (Soft Comput., 2017)

Genetic Algorithm Essentials - Oliver Kramer 001 (Springer, 2017)

Properties of adv-1 - Adversarials of Adversarials. - Nils Worzyk; Oliver Kramer 001 (ESANN, 2018)

Evolution of Convolutional Highway Networks. - Oliver Kramer 001 (EvoApplications, 2018)

Prediction with Recurrent Neural Networks in Evolutionary Dynamic Optimization. - Almuth Meier; Oliver Kramer 001 (EvoApplications, 2018)

Recurrent neural network-predictions for PSO in dynamic optimization. - Almuth Meier; Oliver Kramer 001 (GECCO, 2018)

Predicting Read- and Write-Operation Availabilities of Quorum Protocols based on Graph Properties. - Robert Schadek; Oliver Kramer 001; Oliver E. Theel (ICAART (2), 2018)

Direct Training of Dynamic Observation Noise with UMarineNet. - Stefan Oehmcke; Oliver Zielinski; Oliver Kramer 001 (ICANN (1), 2018)

Dimensionality Reduction with Evolutionary Shephard-Kruskal Embeddings. - Oliver Kramer 001 (ICPRAM, 2018)

Multi-label Classification of Surgical Tools with Convolutional Neural Networks. - Jonas Prellberg; Oliver Kramer 001 (IJCNN, 2018)

Adversarials -1: Defending by Attacking. - Nils Worzyk; Oliver Kramer 001 (IJCNN, 2018)

Knowledge Sharing for Population Based Neural Network Training. - Stefan Oehmcke; Oliver Kramer 001 (KI, 2018)

Limited Evaluation Evolutionary Optimization of Large Neural Networks. - Jonas Prellberg; Oliver Kramer 001 (KI, 2018)

Lamarckian Evolution of Convolutional Neural Networks. - Jonas Prellberg; Oliver Kramer 001 (PPSN (2), 2018)

Input quality aware convolutional LSTM networks for virtual marine sensors. - Stefan Oehmcke; Oliver Zielinski; Oliver Kramer 001 (Neurocomputing, 2018)

Evolution of Stacked Autoencoders. - Tim Silhan; Stefan Oehmcke; Oliver Kramer 001 (CEC, 2019)

Predictive Uncertainty Estimation with Temporal Convolutional Networks for Dynamic Evolutionary Optimization. - Almuth Meier; Oliver Kramer 001 (ICANN (2), 2019)

Physical Adversarial Attacks by Projecting Perturbations. - Nils Worzyk; Hendrik Kahlen; Oliver Kramer 001 (ICANN (3), 2019)

Self-Organizing Maps with Convolutional Layers. - Lars Elend; Oliver Kramer 001 (WSOM+, 2019)

Acute Lymphoblastic Leukemia Classification from Microscopic Images using Convolutional Neural Networks. - Jonas Prellberg; Oliver Kramer 001 (CoRR, 2019)

Tournament Selection Improves Cartesian Genetic Programming for Atari Games. - Tim Cofala; Lars Elend; Oliver Kramer 001 (ESANN, 2020)

Learning Step Size Adaptation in Evolution Strategies. - Oliver Kramer 001 (ESANN, 2020)

Adversarials-1 in Speech Recognition: Detection and Defence. - Nils Worzyk; Stefan Niewerth; Oliver Kramer 001 (ESANN, 2020)

Modeling H2O/Rutile-TiO2(110) Potential Energy Surfaces with Deep Networks. - Stefan Oehmcke; Thomas Teusch; Thorben Petersen; Thorsten Klüner; Oliver Kramer 001 (IJCNN, 2020)

Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent. - Jonas Prellberg; Oliver Kramer 001 (IJCNN, 2020)

Earnings Prediction with Deep Learning. - Lars Elend; Sebastian A. Tideman; Kerstin Lopatta; Oliver Kramer 001 (KI, 2020)

Evolutionary Multi-objective Design of SARS-CoV-2 Protease Inhibitor Candidates. - Tim Cofala; Lars Elend; Philip Mirbach; Jonas Prellberg; Thomas Teusch; Oliver Kramer 001 (PPSN (2), 2020)

Evolutionary Deep Multi-Task Learning. - Patrick Burke; Jonas Prellberg; Oliver Kramer 001 (ESANN, 2021)

Transformers for Molecular Graph Generation. - Tim Cofala; Oliver Kramer 001 (ESANN, 2021)

Spatial Generation of Molecules with Transformers. - Tim Cofala; Thomas Teusch; Oliver Kramer 001 (IJCNN, 2021)

A Fast and Simple Evolution Strategy with Covariance Matrix Estimation. - Oliver Kramer 001 (ESANN, 2022)

An evolutionary fragment-based approach to molecular fingerprint reconstruction. - Tim Cofala; Oliver Kramer 001 (GECCO, 2022)

Enhancing Evolution Strategies with Evolution Path Bias. - Oliver Kramer 001 (ESANN, 2023)

Wind Power Prediction with ETSformer. - Oliver Kramer 001; Jill Baumann (ESANN, 2023)

LLaMA Tunes CMA-ES. - Oliver Kramer 001 (ESANN, 2024)

Towards Explainable Evolution Strategies with Large Language Models. - Jill Baumann; Oliver Kramer 001 (ESANN, 2024)

Evolutionary Multi-objective Optimization of Large Language Model Prompts for Balancing Sentiments. - Jill Baumann; Oliver Kramer 001 (EvoApplications@EvoStar, 2024)

Large Language Models for Tuning Evolution Strategies. - Oliver Kramer 001 (CoRR, 2024)

Unlocking Structured Thinking in Language Models with Cognitive Prompting. - Oliver Kramer 001; Jill Baumann (CoRR, 2024)

Conceptual Metaphor Theory as a Prompting Paradigm for Large Language Models. - Oliver Kramer 001 (CoRR, 2025)

Cognitive Prompts Using Guilford's Structure of Intellect Model. - Oliver Kramer 001 (CoRR, 2025)