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ORCIDJeremy Gordon 0001
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- affiliation: University of California Berkeley, CA, USA
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Books and Theses
- 2023
[b1]Jeremy Raboff Gordon:
Embodying the Future: Modeling Visually Guided Planning as Prospective Mental Simulation. University of California, Berkeley, USA, 2023
Journal Articles
- 2023
- [j1]Jeremy Gordon
, Günther Knoblich, Giovanni Pezzulo:
Strategic Task Decomposition in Joint Action. Cogn. Sci. 47(7) (2023)
Conference and Workshop Papers
- 2023
- [c5]Jeremy Raboff Gordon, Alexander J. Fiannaca, Melanie Kneisel, Edward Cutrell, Amos Miller, Mar González-Franco:
Hearing the Way Forward: Exploring Ambient Navigational Awareness with Reduced Cognitive Load through Spatial Audio-AR. CHI Extended Abstracts 2023: 155:1-155:7 - 2021
- [c4]Jeremy Raboff Gordon, Max T. Curran, John Chuang, Coye Cheshire:
Covert Embodied Choice: Decision-Making and the Limits of Privacy Under Biometric Surveillance. CHI 2021: 551:1-551:12 - [c3]Jeremy Gordon, John Chuang:
Active Dynamical Prospection: Modeling Mental Simulation as Particle Filtering for Sensorimotor Control during Pathfinding. ALIFE 2021: 85 - 2020
- [c2]Jeremy Gordon, David Rawlinson, Subutai Ahmad:
Long Distance Relationships Without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling. ANNPR 2020: 52-64 - 2019
- [c1]Max T. Curran, Jeremy Raboff Gordon, Lily Lin, Priyashri Kamlesh Sridhar, John Chung-I Chuang:
Understanding Digitally-Mediated Empathy: An Exploration of Visual, Narrative, and Biosensory Informational Cues. CHI 2019: 614
Informal and Other Publications
- 2021
- [i3]Jeremy Gordon, Max T. Curran, John Chuang, Coye Cheshire:
Covert Embodied Choice: Decision-Making and the Limits of Privacy Under Biometric Surveillance. CoRR abs/2101.00771 (2021) - [i2]Jeremy Gordon, John Chuang:
Active Dynamical Prospection: Modeling Mental Simulation as Particle Filtering for Sensorimotor Control during Pathfinding. CoRR abs/2103.07966 (2021) - 2019
- [i1]Jeremy Gordon, David Rawlinson, Subutai Ahmad:
Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling. CoRR abs/1912.01116 (2019)
Coauthor Index
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