Michael Lingelbach

Michael Lingelbach

Stanford University

H-index: 6

North America-United States

About Michael Lingelbach

Michael Lingelbach, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Machine Learning, Artificial Intelligence.

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

Behavior-1k: A human-centered, embodied ai benchmark with 1,000 everyday activities and realistic simulation

Modeling dynamic environments with scene graph memory

Task-driven graph attention for hierarchical relational object navigation

Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation

Eye-BEHAVIOR: An Eye-Tracking Dataset for Everyday Household Activities in Virtual, Interactive, and Ecological Environments

INF2-mediated actin filament reorganization confers intrinsic resilience to neuronal ischemic injury

Behavior: Benchmark for everyday household activities in virtual, interactive, and ecological environments

igibson 2.0: Object-centric simulation for robot learning of everyday household tasks

Michael Lingelbach Information

University

Position

___

Citations(all)

497

Citations(since 2020)

495

Cited By

12

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Michael Lingelbach Skills & Research Interests

Machine Learning

Artificial Intelligence

Top articles of Michael Lingelbach

Task-driven graph attention for hierarchical relational object navigation

2023/5/29

Eye-BEHAVIOR: An Eye-Tracking Dataset for Everyday Household Activities in Virtual, Interactive, and Ecological Environments

Journal of Vision

2022/12/5

INF2-mediated actin filament reorganization confers intrinsic resilience to neuronal ischemic injury

Nature communications

2022/10/13

Michael Lingelbach
Michael Lingelbach

H-Index: 1

Behavior: Benchmark for everyday household activities in virtual, interactive, and ecological environments

2022/1/11

igibson 2.0: Object-centric simulation for robot learning of everyday household tasks

Proceedings of the 5th Conference on Robot Learning, PMLR 164:455-465, 2022.

2021/8/6

Predicting children's and adults' preferences in physical interactions via physics simulation

Proceedings of the annual meeting of the cognitive science society

2021

See List of Professors in Michael Lingelbach University(Stanford University)

Co-Authors

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