| 2022 | CVPR | Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets. | Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi, Vikas Singh |
| 2022 | CVPR | Understanding Uncertainty Maps in Vision with Statistical Testing. | Jurijs Nazarovs, Zhichun Huang, Songwong Tasneeyapant, Rudrasis Chakraborty, Vikas Singh |
| 2022 | ECCV | On the Versatile Uses of Partial Distance Correlation in Deep Learning. | Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh |
| 2022 | ICML | Forward Operator Estimation in Generative Models with Kernel Transfer Operators. | Zhichun Huang, Rudrasis Chakraborty, Vikas Singh |
| 2021 | AAAI | Nystrmformer: A Nystrm-based Algorithm for Approximating Self-Attention. | Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh |
| 2021 | AAAI | Flow-based Generative Models for Learning Manifold to Manifold Mappings. | Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh |
| 2021 | CVPR | Simpler Certified Radius Maximization by Propagating Covariances. | Xingjian Zhen, Rudrasis Chakraborty, Vikas Singh |
| 2021 | UAI | A variational approximation for analyzing the dynamics of panel data. | Jurijs Nazarovs, Rudrasis Chakraborty, Songwong Tasneeyapant, Sathya N. Ravi, Vikas Singh |
| 2020 | CVPR | C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning. | Rudrasis Chakraborty, Yifei Xing, Minxuan Duan, Stella X. Yu |
| 2020 | CVPR | Orthogonal Convolutional Neural Networks. | Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu |
| 2019 | CVPR | Sur-Real: Frechet Mean and Distance Transform for Complex-Valued Deep Learning. | Rudrasis Chakraborty, Jiayun Wang, Stella X. Yu |
| 2019 | CVPR | Visual Similarity from Optimizing Feature and Memory On A Hypersphere. | Xinlei Pan, Rudrasis Chakraborty, Stella X. Yu |
| 2019 | ICCV | Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data. | Rudrasis Chakraborty, Xingjian Zhen, Nicholas Vogt, Barbara B. Bendlin, Vikas Singh |
| 2019 | ICCV | Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains. | Ronak Mehta, Rudrasis Chakraborty, Vikas Singh, Yunyang Xiong |
| 2018 | CVPR | A Mixture Model for Aggregation of Multiple Pre-Trained Weak Classifiers. | Rudrasis Chakraborty, Chun-Hao Yang, Baba C. Vemuri |
| 2018 | SAFEProcess | Generative Adversarial Network based Autoencoder: Application to Fault Detection Problem for Closed Loop Dynamical Systems. | Indrasis Chakraborty, Rudrasis Chakraborty, Draguna L. Vrabie |
| 2017 | CVPR | Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning. | Rudrasis Chakraborty, Sren Hauberg, Baba C. Vemuri |
| 2017 | ICCV | Sparse Exact PGA on Riemannian Manifolds. | Monami Banerjee, Rudrasis Chakraborty, Baba C. Vemuri |
| 2017 | ICCV | A Geometric Framework for Statistical Analysis of Trajectories with Distinct Temporal Spans. | Rudrasis Chakraborty, Vikas Singh, Nagesh Adluru, Baba C. Vemuri |
| 2017 | ICIP | Statistical analysis of longitudinal data and applications to neuro-imaging. | Rudrasis Chakraborty, Baba C. Vemuri |
| 2016 | CVPR | A Nonlinear Regression Technique for Manifold Valued Data with Applications to Medical Image Analysis. | Monami Banerjee, Rudrasis Chakraborty, Edward Ofori, Michael S. Okun, David E. Vaillancourt, Baba C. Vemuri |
| 2016 | CVPR | An Efficient Exact-PGA Algorithm for Constant Curvature Manifolds. | Rudrasis Chakraborty, Dohyung Seo, Baba C. Vemuri |
| 2015 | ICCV | Recursive Frchet Mean Computation on the Grassmannian and Its Applications to Computer Vision. | Rudrasis Chakraborty, Baba C. Vemuri |
| 2015 | MICCAI | Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis. | Monami Banerjee, Rudrasis Chakraborty, Edward Ofori, David E. Vaillancourt, Baba C. Vemuri |
| 2012 | CIKM | Segmenting web-domains and hashtags using length specific models. | Sriram Srinivasan, Sourangshu Bhattacharya, Rudrasis Chakraborty |