Outlier-Robust Optimal Transport D Mukherjee, A Guha, J Solomon, Y Sun, M Yurochkin International Conference on Machine Learning (ICML), 2021 | 65 | 2021 |
On posterior contraction of parameters and interpretability in Bayesian mixture modeling A Guha, N Ho, XL Nguyen Bernoulli, 2020, 2019 | 61 | 2019 |
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 | 13 | 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 | 8* | 2024 |
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 | 7 | 2022 |
Dirichlet Simplex Nest and Geometric Inference M Yurochkin*, A Guha*, Y Sun, XL Nguyen International Conference on Machine Learning, 7262-7271, 2019 | 6 | 2019 |
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 | 5 | 2023 |
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 | 4* | 2023 |
Scalable nonparametric Bayesian learning for dynamic velocity fields S Chakraborty, A Guha, R Lei, XL Nguyen Uncertainty in Artificial Intelligence, 282-292, 2023 | 2* | 2023 |
Simulating training data to mitigate biases in machine learning models A Guha, Z Zhengyi, B Krishnamurthy US Patent App. 17/661,026, 2023 | 1 | 2023 |
Job negotiation for workflow automation tasks E Zavesky, L Alexander, A Guha, WL Hsu, T Xu, JF Paiement US Patent App. 18/152,754, 2024 | | 2024 |
Network-based conversation content modification A Guha, JF Paiement, E Zavesky US Patent App. 17/982,511, 2024 | | 2024 |
Systems and methods for facilitating immersive exhibits E Zavesky, JF Paiement, W Hsu, T Xu, A Guha, Q Wu US Patent App. 17/976,447, 2024 | | 2024 |
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 |
Functional optimal transport: regularized map estimation and domain adaptation for functional data J Zhu, A Guha, D Do, M Xu, XL Nguyen, D Zhao Journal of Machine Learning Research 25 (276), 1-49, 2024 | | 2024 |