Michael D. Schmidt

According to our database, Michael D. Schmidt authored at least 16 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

syftr: Pareto-Optimal Generative AI.

Alexander Conway, Debadeepta Dey, Stefan Hackmann, Matthew Hausknecht, Michael Douglas Schmidt, Mark Steadman, Nick Volynets

Proceedings of the International Conference on Automated Machine Learning (AutoML 2025), 2025

2024

Structured Evaluation of Synthetic Tabular Data.

Scott Cheng-Hsin Yang, Baxter Eaves, Michael D. Schmidt, Ken Swanson, Patrick Shafto

CoRR, 2024

Word Importance Explains How Prompts Affect Language Model Outputs.

Stefan Hackmann, Haniyeh Mahmoudian, Mark Steadman, Michael D. Schmidt

CoRR, 2024

2017

Performance testing of automated modeling for industrial applications.

Dylan Sherry, Michael D. Schmidt

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2011

Automated modeling of stochastic reactions with large measurement time-gaps.

Michael Douglas Schmidt, Hod Lipson

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

Predicting solution rank to improve performance.

Michael D. Schmidt, Hod Lipson

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Age-fitness pareto optimization.

Michael D. Schmidt, Hod Lipson

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009

Solving iterated functions using genetic programming.

Michael D. Schmidt, Hod Lipson

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Incorporating expert knowledge in evolutionary search: a study of seeding methods.

Michael D. Schmidt, Hod Lipson

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Discovering a domain alphabet.

Michael D. Schmidt, Hod Lipson

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

Coevolution of Fitness Predictors.

Michael D. Schmidt, Hod Lipson

IEEE Trans. Evol. Comput., 2008

2007

Learning noise.

Michael D. Schmidt, Hod Lipson

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Comparison of tree and graph encodings as function of problem complexity.

Michael D. Schmidt, Hod Lipson

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006

Actively probing and modeling users in interactive coevolution.

Michael D. Schmidt, Hod Lipson

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2003

Rendering Large (Volume) Datasets: A new Parallel Visualization System.

Sascha Schneider, Thorsten May, Michael D. Schmidt

Proceedings of the 11-th International Conference in Central Europe on Computer Graphics, 2003

Fast scalar- & vectorfield visualization using a new progressive grid class.

Thorsten May, Sascha Schneider, Michael D. Schmidt, Volker Luckas

Proceedings of the Simulation und Visualisierung 2003 (SimVis 2003), 2003