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2020 – today
- 2024
[c8]Paulo Soares, Adarsh Pyarelal, Meghavarshini Krishnaswamy, Emily Butler, Kobus Barnard:
Probabilistic Modeling of Interpersonal Coordination Processes. ICML 2024- [i7]Liang Zhang, Justin Lieffers, Adarsh Pyarelal:
Exploring Semantic Clustering in Deep Reinforcement Learning for Video Games. CoRR abs/2409.17411 (2024) - 2023
- [c7]Md Messal Monem Miah, Adarsh Pyarelal, Ruihong Huang:
Hierarchical Fusion for Online Multimodal Dialog Act Classification. EMNLP (Findings) 2023: 7532-7545 - [c6]Ayesha Qamar, Adarsh Pyarelal, Ruihong Huang:
Who is Speaking? Speaker-Aware Multiparty Dialogue Act Classification. EMNLP (Findings) 2023: 10122-10135 - [c5]Adarsh Pyarelal, Eric Duong, Caleb Shibu, Paulo Soares, Savannah Boyd, Payal Khosla, Valeria A. Pfeifer, Diheng Zhang, Eric Andrews, Rick Champlin, Vincent Raymond, Meghavarshini Krishnaswamy, Clayton T. Morrison, Emily Butler, Kobus Barnard:
The ToMCAT Dataset. NeurIPS 2023 - [i6]Paulo Soares, Adarsh Pyarelal, Kobus Barnard:
Probabilistic Modeling of Human Teams to Infer False Beliefs. CoRR abs/2310.12929 (2023) - 2022
- [i5]Liang Zhang, Justin Lieffers, Adarsh Pyarelal:
Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time. CoRR abs/2211.06721 (2022) - [i4]Liang Zhang, Justin Lieffers, Adarsh Pyarelal:
Deep Reinforcement Learning with Vector Quantized Encoding. CoRR abs/2211.06733 (2022) - [i3]Chinmai Basavaraj, Adarsh Pyarelal, Evan Carter:
Multi-Timescale Modeling of Human Behavior. CoRR abs/2211.09001 (2022) - 2021
- [c4]Adarsh Pyarelal
, Aditya Banerjee, Kobus Barnard:
Modular Procedural Generation for Voxel Maps. ToM for Teams 2021: 85-101 - [c3]Liang Zhang, Justin Lieffers, Adarsh Pyarelal:
Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time. ToM for Teams 2021: 205-219 - [i2]Adarsh Pyarelal, Aditya Banerjee, Kobus Barnard:
Modular Procedural Generation for Voxel Maps. CoRR abs/2104.08890 (2021) - 2020
- [c2]Maria Alexeeva, Rebecca Sharp, Marco Antonio Valenzuela-Escárcega, Jennifer Kadowaki, Adarsh Pyarelal, Clayton T. Morrison:
MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions. LREC 2020: 2204-2212 - [i1]Adarsh Pyarelal, Marco Antonio Valenzuela-Escárcega, Rebecca Sharp, Paul Douglas Hein, Jon Stephens, Pratik Bhandari, HeuiChan Lim, Saumya Debray, Clayton T. Morrison:
AutoMATES: Automated Model Assembly from Text, Equations, and Software. CoRR abs/2001.07295 (2020)
2010 – 2019
- 2019
- [c1]Rebecca Sharp, Adarsh Pyarelal, Benjamin M. Gyori, Keith Alcock, Egoitz Laparra, Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Vikas Yadav, John A. Bachman, Zheng Tang, Heather C. Lent, Fan Luo, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton T. Morrison, Mihai Surdeanu:
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. NAACL-HLT (Demonstrations) 2019: 42-47
Coauthor Index
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