Adarsh Pyarelal

According to our database, Adarsh Pyarelal authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Exploring Semantic Clustering in Deep Reinforcement Learning for Video Games.

Liang Zhang, Justin Lieffers, Adarsh Pyarelal

CoRR, 2024

Probabilistic Modeling of Interpersonal Coordination Processes.

Paulo Soares, Adarsh Pyarelal, Meghavarshini Krishnaswamy, Emily Butler, Kobus Barnard

Proceedings of the Forty-first International Conference on Machine Learning, 2024

When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context.

Enrique Noriega-Atala, Robert Vacareanu, Salena Torres Ashton, Adarsh Pyarelal, Clayton T. Morrison, Mihai Surdeanu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Probabilistic Modeling of Human Teams to Infer False Beliefs.

Paulo Soares, Adarsh Pyarelal, Kobus Barnard

CoRR, 2023

The ToMCAT Dataset.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Who is Speaking? Speaker-Aware Multiparty Dialogue Act Classification.

Ayesha Qamar, Adarsh Pyarelal, Ruihong Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Hierarchical Fusion for Online Multimodal Dialog Act Classification.

Md Messal Monem Miah, Adarsh Pyarelal, Ruihong Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Multi-Timescale Modeling of Human Behavior.

Chinmai Basavaraj, Adarsh Pyarelal, Evan Carter

CoRR, 2022

Deep Reinforcement Learning with Vector Quantized Encoding.

Liang Zhang, Justin Lieffers, Adarsh Pyarelal

CoRR, 2022

Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time.

Liang Zhang, Justin Lieffers, Adarsh Pyarelal

CoRR, 2022

2021

Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time.

Liang Zhang, Justin Lieffers, Adarsh Pyarelal

Proceedings of the Computational Theory of Mind for Human-Machine Teams, 2021

Modular Procedural Generation for Voxel Maps.

Adarsh Pyarelal, Aditya Banerjee, Kobus Barnard

Proceedings of the Computational Theory of Mind for Human-Machine Teams, 2021

2020

AutoMATES: Automated Model Assembly from Text, Equations, and Software.

Adarsh Pyarelal, Marco Antonio Valenzuela-Escárcega, Rebecca Sharp, Paul Douglas Hein, Jon Stephens, Pratik Bhandari, HeuiChan Lim, Saumya Debray, Clayton T. Morrison

CoRR, 2020

MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions.

Maria Alexeeva, Rebecca Sharp, Marco Antonio Valenzuela-Escárcega, Jennifer Kadowaki, Adarsh Pyarelal, Clayton T. Morrison

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019

Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models.

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

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019