Animation Facilitates Source Understanding and Spontaneous Analogical Transfer. - James Kubricht; Hongjing Lu; Keith J. Holyoak (CogSci, 2015)

Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem. - James Kubricht; Chenfanfu Jiang; Yixin Zhu 001; Song-Chun Zhu; Demetri Terzopoulos; Hongjing Lu (CogSci, 2016)

Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics. - James Kubricht; Yixin Zhu 001; Chenfanfu Jiang; Demetri Terzopoulos; Song-Chun Zhu; Hongjing Lu (CogSci, 2017)

Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task. - Jenny Lin; Yixin Zhu 001; James Kubricht; Song-Chun Zhu; Hongjing Lu (CogSci, 2017)

The Martian: Examining Human Physical Judgments across Virtual Gravity Fields. - Tian Ye 005; Siyuan Qi; James Kubricht; Yixin Zhu 001; Hongjing Lu; Song-Chun Zhu (IEEE Trans. Vis. Comput. Graph., 2017)

Human Causal Transfer: Challenges for Deep Reinforcement Learning. - Mark Edmonds; James Kubricht; Colin Summers; Yixin Zhu 001; Brandon Rothrock; Song-Chun Zhu; Hongjing Lu (CogSci, 2018)

Physical and Causal Judgments for Object Collisions Depend on Relative Motion. - James Kubricht; Hongjing Lu (CogSci, 2018)

Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events. - Duotun Wang; James Kubricht; Yixin Zhu 001; Wei Liang 008; Song-Chun Zhu; Chenfanfu Jiang; Hongjing Lu (VR, 2018)

On the Human Capacity for Physical and Analogical Inference. - James Kubricht (2018)

Towards Semantic Action Analysis via Emergent Language. - Alberto Santamaría-Pang; James R. Kubricht; Chinmaya Devaraj; Aritra Chowdhury; Peter H. Tu (AIVR, 2019)

A Learning Approach to Interactive Advertising. - Peter H. Tu; Donald Hamilton; Tao Gao; Alex Chen; Justin Foehner; Alberto Santamaría-Pang; James Kubricht (AVSS, 2019)

Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning. - Mark Edmonds; Siyuan Qi; Yixin Zhu 001; James Kubricht; Song-Chun Zhu; Hongjing Lu (CogSci, 2019)

From Symbols to Signals: Symbolic Variational Autoencoders. - Chinmaya Devaraj; Aritra Chowdhury; Arpit Jain; James R. Kubricht; Peter H. Tu; Alberto Santamaría-Pang (ICASSP, 2020)

Escell: Emergent Symbolic Cellular Language. - Aritra Chowdhury; James R. Kubricht; Anup Sood; Peter H. Tu; Alberto Santamaría-Pang (ISBI, 2020)

Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability. - Alberto Santamaría-Pang; James Kubricht; Aritra Chowdhury; Chitresh Bhushan; Peter H. Tu (MICCAI (1), 2020)

Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages. - Aritra Chowdhury; Alberto Santamaría-Pang; James R. Kubricht; Jianwei Qiu; Peter H. Tu (CoRR, 2020)

Emergent Languages from Pretrained Embeddings Characterize Latent Concepts in Dynamic Imagery. - James R. Kubricht; Alberto Santamaría-Pang; Chinmaya Devaraj; Aritra Chowdhury; Peter H. Tu (Int. J. Semantic Comput., 2020)

Towards an Automated Language Acquisition System for Grounded Agency. - James R. Kubricht; Sharon G. Small; Ting Liu 003; Peter H. Tu (IntelliSys (3), 2021)

Emergent Symbolic Language Based Deep Medical Image Classification. - Aritra Chowdhury; Alberto Santamaría-Pang; James R. Kubricht; Peter H. Tu (ISBI, 2021)

Adversarial Attacks with Time-Scale Representations. - Alberto Santamaría-Pang; Jianwei Qiu; Aritra Chowdhury; James Kubricht; Peter H. Tu; Naresh Iyer; Nurali Virani (CoRR, 2021)

Grounded Language Acquisition from Object and Action Imagery. - James Kubricht; Zhaoyuan Yang; Jianwei Qiu; Peter H. Tu (AVSS, 2024)

Understanding the Unforeseen via the Intentional Stance. - Stephanie Stacy; Alfredo Gabaldon; John Karigiannis; James Kubricht; Peter Tu (AVSS, 2024)