Samuel Schmidgall

Samuel Schmidgall

George Mason University

H-index: 4

North America-United States

About Samuel Schmidgall

Samuel Schmidgall, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at George Mason University, specializes in the field of Robot Learning, Medical Robotics, Neuromorphic Computing, Deep Learning, Robotics.

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

Robots learning to imitate surgeons—challenges and possibilities

General surgery vision transformer: A video pre-trained foundation model for general surgery

Addressing cognitive bias in medical language models

Learning a Library of Surgical Manipulation Skills for Robotic Surgery

General-purpose foundation models for increased autonomy in robot-assisted surgery

Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots

Language models are susceptible to incorrect patient self-diagnosis in medical applications

Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks

Samuel Schmidgall Information

University

Position

Student

Citations(all)

40

Citations(since 2020)

40

Cited By

0

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

0

i10Index(since 2020)

0

Email

University Profile Page

Google Scholar

Samuel Schmidgall Skills & Research Interests

Robot Learning

Medical Robotics

Neuromorphic Computing

Deep Learning

Robotics

Top articles of Samuel Schmidgall

Robots learning to imitate surgeons—challenges and possibilities

2024/3/21

General surgery vision transformer: A video pre-trained foundation model for general surgery

arXiv preprint arXiv:2403.05949

2024/3/9

Addressing cognitive bias in medical language models

arXiv preprint arXiv:2402.08113

2024/2/12

Learning a Library of Surgical Manipulation Skills for Robotic Surgery

2024/1/9

General-purpose foundation models for increased autonomy in robot-assisted surgery

arXiv preprint arXiv:2401.00678

2024/1/1

Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots

2024 IEEE International Conference on Robotics and Automation (ICRA)

2024/5

Samuel Schmidgall
Samuel Schmidgall

H-Index: 0

Axel Krieger
Axel Krieger

H-Index: 24

Language models are susceptible to incorrect patient self-diagnosis in medical applications

2023/9/17

Samuel Schmidgall
Samuel Schmidgall

H-Index: 0

Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks

Proceedings of the 2023 International Conference on Neuromorphic Systems

2023/6/2

Samuel Schmidgall
Samuel Schmidgall

H-Index: 0

Brain-inspired learning in artificial neural networks: a review

2023/5/18

Samuel Schmidgall
Samuel Schmidgall

H-Index: 0

Jascha Achterberg
Jascha Achterberg

H-Index: 2

Meta-SpikePropamine: Learning to learn with synaptic plasticity in spiking neural networks

Frontiers in Neuroscience

2023/5

Samuel Schmidgall
Samuel Schmidgall

H-Index: 0

Biological connectomes as a representation for the architecture of artificial neural networks

Proceedings of the 2023 AAAI Conference on Artificial Intelligence "Systems Neuroscience Approach to General Intelligence" Workshop

2023/2

Samuel Schmidgall
Samuel Schmidgall

H-Index: 0

Locked fronts in a discrete time discrete space population model

Journal of mathematical biology

2022/10

Matt Holzer
Matt Holzer

H-Index: 10

Samuel Schmidgall
Samuel Schmidgall

H-Index: 0

Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks

Proceedings of the 2022 Neuro-Inspired Computing Elements Conference

2021/11/7

Samuel Schmidgall
Samuel Schmidgall

H-Index: 0

Evolutionary self-replication as a mechanism for producing artificial intelligence

arXiv preprint arXiv:2109.08057

2021/9/16

Samuel Schmidgall
Samuel Schmidgall

H-Index: 0

SpikePropamine: Differentiable Plasticity in Spiking Neural Networks

Frontiers in Neurorobotics

2021/8/11

Samuel Schmidgall
Samuel Schmidgall

H-Index: 0

Optimal Localized Trajectory Planning of Multiple Non-holonomic Vehicles

2021/8/9

Anton Lukyanenko
Anton Lukyanenko

H-Index: 5

Samuel Schmidgall
Samuel Schmidgall

H-Index: 0

Self-Constructing Neural Networks through Random Mutation

ICLR 2021 Never-Ending Reinforcement Learning Workshop

2021/3/29

Samuel Schmidgall
Samuel Schmidgall

H-Index: 0

Adaptive Reinforcement Learning through Evolving Self-Modifying Neural Networks

Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion

2020/5/22

Samuel Schmidgall
Samuel Schmidgall

H-Index: 0

See List of Professors in Samuel Schmidgall University(George Mason University)

Co-Authors

academic-engine