Thomas Helmuth

Thomas Helmuth

Hamilton College

H-index: 21

North America-United States

About Thomas Helmuth

Thomas Helmuth, With an exceptional h-index of 21 and a recent h-index of 18 (since 2020), a distinguished researcher at Hamilton College, specializes in the field of Program Synthesis, Genetic Programming, Evolutionary Computation, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming

Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving

The Problem Solving Benefits of Down-sampling Vary by Selection Scheme

Human-Driven Genetic Programming for Program Synthesis: A Prototype

Solving Novel Program Synthesis Problems with Genetic Programming using Parametric Polymorphism

A static analysis of informed down-samples

Analyzing the interaction between down-sampling and selection

Lexicase Selection

Thomas Helmuth Information

University

Position

Assistant Professor of Computer Science

Citations(all)

1396

Citations(since 2020)

1007

Cited By

665

hIndex(all)

21

hIndex(since 2020)

18

i10Index(all)

36

i10Index(since 2020)

28

Email

University Profile Page

Hamilton College

Google Scholar

View Google Scholar Profile

Thomas Helmuth Skills & Research Interests

Program Synthesis

Genetic Programming

Evolutionary Computation

Artificial Intelligence

Top articles of Thomas Helmuth

Title

Journal

Author(s)

Publication Date

Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming

Thomas Helmuth

Edward Pantridge

James Gunder Frazier

Lee Spector

2024/3/28

Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving

Evolutionary Computation

Ryan Boldi

Martin Briesch

Dominik Sobania

Alexander Lalejini

Thomas Helmuth

...

2024/1/26

The Problem Solving Benefits of Down-sampling Vary by Selection Scheme

Ryan Boldi

Ashley Bao

Martin Briesch

Thomas Helmuth

Dominik Sobania

...

2023/7/15

Human-Driven Genetic Programming for Program Synthesis: A Prototype

Thomas Helmuth

James Gunder Frazier

Yuhan Shi

Ahmed Farghali Abdelrehim

2023/7/15

Solving Novel Program Synthesis Problems with Genetic Programming using Parametric Polymorphism

Edward Pantridge

Thomas Helmuth

2023/7/15

A static analysis of informed down-samples

Ryan Boldi

Alexander Lalejini

Thomas Helmuth

Lee Spector

2023/7/15

Analyzing the interaction between down-sampling and selection

arXiv preprint arXiv:2304.07089

Ryan Boldi

Ashley Bao

Martin Briesch

Thomas Helmuth

Dominik Sobania

...

2023/4/14

Lexicase Selection

William George La Cava

Thomas Helmuth

2023/7/15

Functional code building genetic programming

Edward Pantridge

Thomas Helmuth

Lee Spector

2022/7/8

Applying genetic programming to PSB2: the next generation program synthesis benchmark suite

Genetic Programming and Evolvable Machines

Thomas Helmuth

Peter Kelly

2022/9

The environmental discontinuity hypothesis for down-sampled lexicase selection

arXiv preprint arXiv:2205.15931

Ryan Boldi

Thomas Helmuth

Lee Spector

2022/5/31

Population diversity leads to short running times of lexicase selection

Thomas Helmuth

Johannes Lengler

William La Cava

2022/8/15

Environments with local scopes for modules in genetic programming

Anil Kumar Saini

Lee Spector

Thomas Helmuth

2022/7/9

Going faster and hence further with lexicase selection

Li Ding

Ryan Boldi

Thomas Helmuth

Lee Spector

2022/7/9

Lexicase selection at scale

Li Ding

Ryan Boldi

Thomas Helmuth

Lee Spector

2022/7/9

Problem-solving benefits of down-sampled lexicase selection

Artificial Life

Thomas Helmuth

Lee Spector

2021/9/1

PSB2: the second program synthesis benchmark suite

Thomas Helmuth

Peter Kelly

2021/6/10

Comparison of linear genome representations for software synthesis

Genetic Programming Theory and Practice XVII

Edward Pantridge

Thomas Helmuth

Lee Spector

2020

Counterexample-driven genetic programming without formal specifications

Thomas Helmuth

Lee Spector

Edward Pantridge

2020/7/8

Transfer learning of genetic programming instruction sets

Thomas Helmuth

Edward Pantridge

Grace Woolson

Lee Spector

2020/7/8

See List of Professors in Thomas Helmuth University(Hamilton College)

Co-Authors

H-index: 102
Jason H. Moore

Jason H. Moore

University of Pennsylvania

H-index: 50
Lee Spector

Lee Spector

Hampshire College

H-index: 37
Charles Ofria

Charles Ofria

Michigan State University

H-index: 33
Krzysztof Krawiec

Krzysztof Krawiec

Politechnika Poznanska

H-index: 33
Franz Rothlauf

Franz Rothlauf

Johannes Gutenberg-Universität Mainz

H-index: 28
Nicholas Freitag McPhee

Nicholas Freitag McPhee

University of Minnesota-Twin Cities

academic-engine