Aritra Guha - RankMe

16 papers A* 5A 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LLmFPCA-detect: LLM-powered Multivariate Functional PCA for Anomaly Detection in Sparse Longitudinal Texts. CoRR Prasanjit Dubey, Aritra Guha, Zhengyi Zhou, Qiong Wu, Xiaoming Huo, Paromita Dubey
2024	J	`jnl`	Functional optimal transport: regularized map estimation and domain adaptation for functional data. J. Mach. Learn. Res. Jiacheng Zhu, Aritra Guha, Dat Do, Mengdi Xu, XuanLong Nguyen, Ding Zhao
2023	J	`jnl`	Interpolation for Robust Learning: Data Augmentation on Geodesics. CoRR Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao
2023	A*	`conf`	Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics. ICML Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao
2023	A*	`conf`	On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances. ICML Aritra Guha, Nhat Ho, XuanLong Nguyen
2023	A	`conf`	Scalable nonparametric Bayesian learning for dynamic velocity fields. UAI Sunrit Chakraborty, Aritra Guha, Rayleigh Lei, XuanLong Nguyen
2022	J	`jnl`	Towards Algorithmic Fairness in Space-Time: Filling in Black Holes. CoRR Cheryl J. Flynn, Aritra Guha, Subhabrata Majumdar, Divesh Srivastava, Zhengyi Zhou
2021	J	`jnl`	Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data. CoRR Jiacheng Zhu, Aritra Guha, Mengdi Xu, Yingchen Ma, Rayleigh Lei, Vincenzo Loffredo, XuanLong Nguyen, Ding Zhao
2021	A*	`conf`	Outlier-Robust Optimal Transport. ICML Debarghya Mukherjee, Aritra Guha, Justin M. Solomon, Yuekai Sun, Mikhail Yurochkin
2021	J	`jnl`	Scalable nonparametric Bayesian learning for heterogeneous and dynamic velocity fields. CoRR Sunrit Chakraborty, Aritra Guha, Rayleigh Lei, XuanLong Nguyen
2020	J	`jnl`	Robust Unsupervised Learning of Temporal Dynamic Interactions. CoRR Aritra Guha, Rayleigh Lei, Jiacheng Zhu, XuanLong Nguyen, Ding Zhao
2019	A*	`conf`	Dirichlet Simplex Nest and Geometric Inference. ICML Mikhail Yurochkin, Aritra Guha, Yuekai Sun, XuanLong Nguyen
2019	J	`jnl`	Dirichlet Simplex Nest and Geometric Inference. CoRR Mikhail Yurochkin, Aritra Guha, Yuekai Sun, XuanLong Nguyen
2019	A*	`conf`	Scalable inference of topic evolution via models for latent geometric structures. NeurIPS Mikhail Yurochkin, Zhiwei Fan, Aritra Guha, Paraschos Koutris, XuanLong Nguyen
2018	J	`jnl`	Streaming dynamic and distributed inference of latent geometric structures. CoRR Mikhail Yurochkin, Zhiwei Fan, Aritra Guha, Paraschos Koutris, XuanLong Nguyen
2017	—	`conf`	Conic Scan-and-Cover algorithms for nonparametric topic modeling. NIPS Mikhail Yurochkin, Aritra Guha, XuanLong Nguyen