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2020 – today
- 2024
[c9]Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Mataric, Stefanos Nikolaidis:
Quality-Diversity Generative Sampling for Learning with Synthetic Data. AAAI 2024: 19805-19812- 2023
- [c8]Allen Chang, Mary Knapp, James LaBelle, John Swoboda, Ryan Volz
, Philip J. Erickson:
Removing Radio Frequency Interference From Auroral Kilometric Radiation With Stacked Autoencoders. ICASSP 2023: 1-5 - [c7]Allen Chang, Xiaoyuan Zhu, Aarav Monga, Seoho Ahn, Tejas Srinivasan, Jesse Thomason:
Multimodal Speech Recognition for Language-Guided Embodied Agents. INTERSPEECH 2023: 1608-1612 - [i6]Allen Chang, Xiaoyuan Zhu, Aarav Monga, Seoho Ahn, Tejas Srinivasan, Jesse Thomason:
Multimodal Speech Recognition for Language-Guided Embodied Agents. CoRR abs/2302.14030 (2023) - [i5]Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Mataric, Stefanos Nikolaidis:
Quality-Diversity Generative Sampling for Learning with Synthetic Data. CoRR abs/2312.14369 (2023) - 2022
- [c6]Allen Chang, Lauren Klein, Marcelo R. Rosales, Weiyang Deng, Beth A. Smith, Maja J. Mataric:
Evaluating Temporal Patterns in Applied Infant Affect Recognition. ACII 2022: 1-8 - [i4]Allen Chang, Lauren Klein, Marcelo R. Rosales, Weiyang Deng, Beth A. Smith, Maja J. Mataric:
Evaluating Temporal Patterns in Applied Infant Affect Recognition. CoRR abs/2209.03496 (2022) - [i3]Allen Chang, Mary Knapp, James LaBelle, John Swoboda, Ryan Volz, Philip J. Erickson:
Removing Radio Frequency Interference from Auroral Kilometric Radiation with Stacked Autoencoders. CoRR abs/2210.12931 (2022)
2010 – 2019
- 2014
- [i2]Eyal Amir, Allen Chang:
Learning Partially Observable Deterministic Action Models. CoRR abs/1401.3437 (2014) - 2012
- [i1]Allen Chang, Eyal Amir:
Reachability Under Uncertainty. CoRR abs/1206.5253 (2012)
2000 – 2009
- 2008
- [j1]Eyal Amir, Allen Chang:
Learning Partially Observable Deterministic Action Models. J. Artif. Intell. Res. 33: 349-402 (2008) - 2007
- [c5]Allen Chang, Eyal Amir:
Reachability Under Uncertainty. UAI 2007: 41-48 - 2006
- [c4]Dafna Shahaf, Allen Chang, Eyal Amir:
Learning Partially Observable Action Models: Efficient Algorithms. AAAI 2006: 920-926 - [c3]Allen Chang, Eyal Amir:
Goal Achievement in Partially Known, Partially Observable Domains. ICAPS 2006: 203-211 - 2003
- [c2]Michael H. Bowling, Brett Browning, Allen Chang, Manuela M. Veloso:
Plays as Team Plans for Coordination and Adaptation. RoboCup 2003: 686-693 - 2002
- [c1]Gal A. Kaminka, Mehmet Fidanboylu, Allen Chang, Manuela M. Veloso:
Learning the Sequential Coordinated Behavior of Teams from Observations. RoboCup 2002: 111-125
Coauthor Index
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