Joanne Taery Kim

Orcid: 0000-0002-2415-9329

According to our database1, Joanne Taery Kim authored at least 12 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism.
CoRR, 2023

How to Train Your Guide Dog: Wayfinding and Safe Navigation with Human-Robot Modeling.
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism.
Proceedings of the Conference on Robot Learning, 2023

2021
Predicting Energetics Materials' Crystalline Density from Chemical Structure by Machine Learning.
J. Chem. Inf. Model., 2021

Learning Robot Structure and Motion Embeddings using Graph Neural Networks.
CoRR, 2021

Distilling Wikipedia mathematical knowledge into neural network models.
CoRR, 2021

Observation Space Matters: Benchmark and Optimization Algorithm.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients.
Proceedings of the 9th International Conference on Learning Representations, 2021

RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
An Interactive Visualization Platform for Deep Symbolic Regression.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records.
IEEE Trans. Vis. Comput. Graph., 2019


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