Eric Eaton

Eric Eaton

University of Pennsylvania

H-index: 29

North America-United States

About Eric Eaton

Eric Eaton, With an exceptional h-index of 29 and a recent h-index of 26 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of machine learning, lifelong learning, interactive AI, robotics, medicine.

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

Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges

Dissecting Deep RL with High Update Ratios: Combatting Value Overestimation and Divergence

A collective AI via lifelong learning and sharing at the edge

Replicable reinforcement learning

CS2023: ACM/IEEE-CS/AAAI Computer Science Curricula-Specialized Platform Development

Predicting the Effect of Proton Beam Therapy Technology on Pulmonary Toxicities for Patients With Locally Advanced Lung Cancer Enrolled in the Proton Collaborative Group …

Prospective Learning: Principled Extrapolation to the Future

Systems and methods for generating improved decision trees

Eric Eaton Information

University

Position

___

Citations(all)

2958

Citations(since 2020)

2060

Cited By

1619

hIndex(all)

29

hIndex(since 2020)

26

i10Index(all)

43

i10Index(since 2020)

39

Email

University Profile Page

Google Scholar

Eric Eaton Skills & Research Interests

machine learning

lifelong learning

interactive AI

robotics

medicine

Top articles of Eric Eaton

Title

Journal

Author(s)

Publication Date

Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges

Proceedings of the AAAI Conference on Artificial Intelligence

Eric Eaton

Susan L Epstein

2024/3/24

Dissecting Deep RL with High Update Ratios: Combatting Value Overestimation and Divergence

arXiv preprint arXiv:2403.05996

Marcel Hussing

Claas Voelcker

Igor Gilitschenski

Amir-massoud Farahmand

Eric Eaton

2024/3/9

A collective AI via lifelong learning and sharing at the edge

Nature Machine Intelligence

Andrea Soltoggio

Eseoghene Ben-Iwhiwhu

Vladimir Braverman

Eric Eaton

Benjamin Epstein

...

2024/3

Replicable reinforcement learning

Advances in Neural Information Processing Systems

Eric Eaton

Marcel Hussing

Michael Kearns

Jessica Sorrell

2024/2/13

CS2023: ACM/IEEE-CS/AAAI Computer Science Curricula-Specialized Platform Development

Christian Servin

Sherif Aly

Yoonsik Cheon

Eric Eaton

Claudia Guevara

...

2024/1/18

Predicting the Effect of Proton Beam Therapy Technology on Pulmonary Toxicities for Patients With Locally Advanced Lung Cancer Enrolled in the Proton Collaborative Group …

International Journal of Radiation Oncology* Biology* Physics

Gilmer Valdes

Jessica Scholey

Tomi F Nano

Efstathios D Gennatas

Pranshu Mohindra

...

2024/5/1

Prospective Learning: Principled Extrapolation to the Future

Ashwin De Silva

Rahul Ramesh

Lyle Ungar

Marshall Hussain Shuler

Noah J Cowan

...

2023/11/20

Systems and methods for generating improved decision trees

2023/6/15

PD-0173 Proton center variations in predicting pulmonary toxicities from proton radiotherapy of lung cancer

Radiotherapy and Oncology

T Nano

G Valdes

J Scholey

A Comas-Leon

E Gennatas

...

2023/5/1

ZeroFlow: Scalable Scene Flow via Distillation

Kyle Vedder

Neehar Peri

Nathaniel Eliot Chodosh

Ishan Khatri

Eric Eaton

...

2023/10/13

Fuzzy Logic++: Towards Developing Fuzzy Education Curricula Using ACM/IEEE/AAAI CS2023

Christian Servin

Brett A Becker

Eric Eaton

Amruth Kumar

2023/5/31

A domain-agnostic approach for characterization of lifelong learning systems

Neural Networks

Megan M Baker

Alexander New

Mario Aguilar-Simon

Ziad Al-Halah

Sébastien MR Arnold

...

2023/3/1

A Metacognitive Approach to Out-of-Distribution Detection for Segmentation

arXiv preprint arXiv:2311.07578

Meghna Gummadi

Cassandra Kent

Karl Schmeckpeper

Eric Eaton

2023/10/4

CAROM air-vehicle localization and traffic scene reconstruction from aerial videos

Duo Lu

Eric Eaton

Matt Weg

Wei Wang

Steven Como

...

2023/5

Gap minimization for knowledge sharing and transfer

Journal of Machine Learning Research

Boyu Wang

Jorge A Mendez

Changjian Shui

Fan Zhou

Di Wu

...

2023

IBCL: Zero-shot Model Generation for Task Trade-offs in Continual Learning

arXiv preprint arXiv:2310.02995

Pengyuan Lu

Michele Caprio

Eric Eaton

Insup Lee

2023/10/4

Zero-shot Task Preference Addressing Enabled by Imprecise Bayesian Continual Learning

arXiv preprint arXiv:2305.14782

Pengyuan Lu

Michele Caprio

Eric Eaton

Insup Lee

2023/5/24

Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning

arXiv preprint arXiv:2307.07091

Marcel Hussing

Jorge A Mendez

Anisha Singrodia

Cassandra Kent

Eric Eaton

2023/7/13

Zeroflow: Fast zero label scene flow via distillation

arXiv preprint arXiv:2305.10424

Kyle Vedder

Neehar Peri

Nathaniel Chodosh

Ishan Khatri

Eric Eaton

...

2023/5/17

Modular lifelong reinforcement learning via neural composition

arXiv preprint arXiv:2207.00429

Jorge A Mendez

Harm van Seijen

Eric Eaton

2022/7/1

See List of Professors in Eric Eaton University(University of Pennsylvania)

Co-Authors

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