James Kubricht
James Kubricht
Research Scientist, GE Research
Verified email at ge.com - Homepage
Title
Cited by
Cited by
Year
Intuitive physics: Current research and controversies
JR Kubricht, KJ Holyoak, H Lu
Trends in Cognitive Sciences 21 (10), 749-759, 2017
752017
Probabilistic simulation predicts human performance on viscous fluid-pouring problem
JR Kubricht, C Jiang, Y Zhu, SC Zhu, D Terzopoulos, H Lu
Proceedings of the 38th annual conference of the cognitive science society, 2016
292016
Individual differences in spontaneous analogical transfer
JR Kubricht, H Lu, KJ Holyoak
Memory & cognition 45 (4), 576-588, 2017
232017
The Martian: Examining Human Physical Judgments across Virtual Gravity Fields
T Ye, S Qi, JR Kubricht, Y Zhu, H Lu, SC Zhu
IEEE Transactions on Visualization and Computer Graphics 23 (4), 1399-1408, 2017
132017
Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics
JR Kubricht, Y Zhu, C Jiang, D Terzopoulos, SC Zhu, H Lu
Proceedings of the 39th annual conference of the cognitive science society, 2017
82017
Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task
J Lin, Y Zhu, JR Kubricht, SC Zhu, H Lu
Proceedings of the 39th annual conference of the cognitive science society, 2017
72017
Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events
D Wang, JR Kubricht, Y Zhu, W Liang, SC Zhu, C Jiang, H Lu
IEEE VR, 2018
62018
Animation Facilitates Source Understanding and Spontaneous Analogical Transfer.
JR Kubricht, H Lu, KJ Holyoak
Proceedings of the 37th annual conference of the cognitive science society, 2015
42015
Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning
M Edmonds, S Qi, Y Zhu, J Kubricht, SC Zhu, H Lu
Proceedings of the 40th annual conference of the cognitive science society, 2019
32019
Human Causal Transfer: Challenges for Deep Reinforcement Learning
M Edmonds, J Kubricht, C Summers, Y Zhu, B Rothrock, SC Zhu, H Lu
Proceedings of the 40th annual conference of the cognitive science society, 2018
32018
Towards Semantic Action Analysis via Emergent Language
A Santamaria-Pang, JR Kubricht, C Devaraj, A Chowdhury, P Tu
2019 IEEE International Conference on Artificial Intelligence and Virtual …, 2019
22019
Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability
A Santamaria-Pang, J Kubricht, A Chowdhury, C Bhushan, P Tu
International Conference on Medical Image Computing and Computer-Assisted …, 2020
2020
Emergent Languages from Pretrained Embeddings Characterize Latent Concepts in Dynamic Imagery
JR Kubricht, A Santamaria-Pang, C Devaraj, A Chowdhury, P Tu
International Journal of Semantic Computing 14 (03), 357-373, 2020
2020
Emergent symbolic language based deep medical image classification
A Chowdhury, A Santamaria-Pang, JR Kubricht, P Tu
arXiv preprint arXiv:2008.09860, 2020
2020
Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages
A Chowdhury, A Santamaria-Pang, JR Kubricht, J Qiu, P Tu
arXiv preprint arXiv:2008.09866, 2020
2020
From Symbols to Signals: Symbolic Variational Autoencoders
C Devaraj, A Chowdhury, A Jain, JR Kubricht, P Tu, A Santamaria-Pang
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
2020
Escell: Emergent Symbolic Cellular Language
A Chowdhury, JR Kubricht, A Sood, P Tu, A Santamaria-Pang
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1604-1607, 2020
2020
A Learning Approach to Interactive Advertising
P Tu, D Hamilton, T Gao, A Chen, J Foehner, AS Pang, J Kubricht
2019 16th IEEE International Conference on Advanced Video and Signal Based …, 2019
2019
Physical and Causal Judgments for Object Collisions Depend on Relative Motion.
J Kubricht, H Lu
Proceedings of the 40th annual conference of the cognitive science society, 2018
2018
On the Human Capacity for Physical and Analogical Inference
JR Kubricht
UCLA, 2018
2018
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