| On posterior contraction of parameters and interpretability in Bayesian mixture modeling A Guha, N Ho, XL Nguyen Bernoulli, 2020, 2019 | 55 | 2019 |
| Outlier-Robust Optimal Transport D Mukherjee, A Guha, J Solomon, Y Sun, M Yurochkin International Conference on Machine Learning (ICML), 2021 | 54 | 2021 |
| Conic Scan-and-Cover algorithms for nonparametric topic modeling M Yurochkin, A Guha, XL Nguyen Advances in Neural Information Processing Systems, 3878-3887, 2017 | 20 | 2017 |
| Scalable inference of topic evolution via models for latent geometric structures M Yurochkin, Z Fan, A Guha, P Koutris, XL Nguyen Advances in Neural Information Processing Systems 32, pp. 5949-5959, 2019 | 14 | 2019 |
| Influence of cultural traditions and social movements on the genetic structure of the Boro-Kachari population A Guha, DP Mukherjee J Indian Anthropol Soc 25, 73-81, 1990 | 14 | 1990 |
| Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data J Zhu*, A Guha*, D Do*, M Xu, XL Nguyen, D Zhao Journal of Machine Learning Research (JMLR), 2024 | 5* | 2024 |
| Dirichlet Simplex Nest and Geometric Inference M Yurochkin*, A Guha*, Y Sun, XL Nguyen International Conference on Machine Learning, 7262-7271, 2019 | 5 | 2019 |
| Robust unsupervised learning of temporal dynamic vehicle-to-vehicle interactions A Guha, R Lei, J Zhu, XL Nguyen, D Zhao Transportation research part C: emerging technologies 142, 103768, 2022 | 4 | 2022 |
| Interpolation for Robust Learning: Data Augmentation on Geodesics J Zhu, J Qiu, A Guha, Z Yang, X Nguyen, B Li, D Zhao International Conference on Machine Learning (ICML), 2023 | 3 | 2023 |
| On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances A Guha, N Ho, XL Nguyen International Conference on Machine Learning (ICML), 2023 | 3 | 2023 |
| Scalable nonparametric Bayesian learning for dynamic velocity fields S Chakraborty, A Guha, R Lei, XL Nguyen Uncertainty in Artificial Intelligence, 282-292, 2023 | 1* | 2023 |
| Event attribution by experience and content E Zavesky, Q Wu, A Guha, J Dong US Patent App. 17/937,896, 2024 | | 2024 |
| Transfer knowledge from auxiliary data for more inclusive machine learning models Z Zhengyi, C Brooks, A Guha, Y Kanza, B Krishnamurthy US Patent App. 17/935,747, 2024 | | 2024 |
| Creating Scent Models and Using Scent Models in Cross-Reality Environments WL Hsu, E Zavesky, L Alexander, A Guha, JF Paiement, Q Wu, Z Zhengyi US Patent App. 17/951,185, 2024 | | 2024 |
| Techniques for managing tasks for efficient workflow management A Guha, Z Zhengyi, JF Paiement, E Zavesky, J Dong, WL Hsu, Q Wu, ... US Patent App. 17/934,382, 2024 | | 2024 |
| System for extended reality augmentation of situational navigation Q Wu, A Guha, E Zavesky, WL Hsu, Z Zhengyi, L Alexander, JF Paiement US Patent App. 17/807,216, 2023 | | 2023 |
| Method and system for personalizing metaverse object recommendations or reviews E Zavesky, JF Paiement, A Guha, Q Wu, WL Hsu, J Dong, T Xu US Patent App. 17/841,045, 2023 | | 2023 |
| Simulating training data to mitigate biases in machine learning models A Guha, Z Zhengyi, B Krishnamurthy US Patent App. 17/661,026, 2023 | | 2023 |
| Towards Algorithmic Fairness in Space-Time: Filling in Black Holes C Brooks, A Guha, S Majumdar, D Srivastava, Z Zhou Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS, 2022 | | 2022 |
| Inference and Interpretability in Latent Variable Modeling A Guha | | 2020 |
XuanLong NguyenUniversity of MichiganVerified email at umich.edu
