Côté, Marc-Alexandre
Johns Hopkins University · Allen Institute for Artificial Intelligence · New York University
10 papers on CoChatORCID 0000-0002-5147-7859
Most cited papers
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Recognition of white matter bundles using local and global streamline-based registration and clustering
Garyfallidis, E., Côté, M.-A., Rheault, F., Sidhu, J., Hau, J., Petit, L., Fortin, D., Cunanne, S., & Descoteaux, M. (2018) · NeuroImage
Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies
Cited by 279
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Tractometer: Towards validation of tractography pipelines
Côté, M.-A., Girard, G., Boré, A., Garyfallidis, E., Houde, J.-C., & Descoteaux, M. (2013) · Medical Image Analysis
Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies
Cited by 228
- Verified
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Shridhar, M., Yuan, X., Côté, M.-A., Bisk, Y., Trischler, A., & Hausknecht, M. (2020) · arXiv
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 80
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Fiber tractography using machine learning
Neher, P. F., Côté, M.-A., Houde, J.-C., Descoteaux, M., & Maier-Hein, K. H. (2017) · NeuroImage
Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies
Cited by 68
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ScienceWorld: Is your Agent Smarter than a 5th Grader?
Wang, R., Jansen, P., Côté, M.-A., & Ammanabrolu, P. (2022) · arXiv
Multimodal Machine Learning ApplicationsScience Education and Pedagogy
Cited by 45
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ScienceWorld: Is your Agent Smarter than a 5th Grader?
Wang, R., Jansen, P., Côté, M.-A., & Ammanabrolu, P. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Multimodal Machine Learning ApplicationsScience Education and Pedagogy
Cited by 45
- Verified
Can Language Models Serve as Text-Based World Simulators?
Wang, R., Todd, G., Xiao, Z., Yuan, X., Côté, M.-A., Clark, P., & Jansen, P. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 11
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DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
Jansen, P., Côté, M.-A., Khot, T., Bransom, E., Mishra, B. D., Majumder, B. P., Tafjord, O., & Clark, P. (2024) · arXiv
Multi-Agent Systems and NegotiationScientific Computing and Data Management
Cited by 9
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Can Language Models Serve as Text-Based World Simulators?
Wang, R., Todd, G., Xiao, Z., Yuan, X., Côté, M.-A., Clark, P., & Jansen, P. (2024) · arXiv
Artificial Intelligence in GamesAI-based Problem Solving and Planning
Cited by 0
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Enhancing Agent Learning through World Dynamics Modeling
Sun, Z., Shi, H., Côté, M.-A., Berseth, G., Yuan, X., & Liu, B. (2024) · arXiv
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 0
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