Chakraborty, Rudrasis

22 publications

NeurIPS 2025 FoGE: Fock Space Inspired Encoding for Graph Prompting Sotirios Panagiotis Chytas, Rudrasis Chakraborty, Vikas Singh

ICMLW 2024 Geometric Algebra Based Encoding for Graph Prompting Sotirios Panagiotis Chytas, Rudrasis Chakraborty, Vikas Singh

CVPR 2022 Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi, Vikas Singh

ICML 2022 Forward Operator Estimation in Generative Models with Kernel Transfer Operators Zhichun Huang, Rudrasis Chakraborty, Vikas Singh

ECCV 2022 On the Versatile Uses of Partial Distance Correlation in Deep Learning Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh

CVPR 2022 Understanding Uncertainty Maps in Vision with Statistical Testing Jurijs Nazarovs, Zhichun Huang, Songwong Tasneeyapant, Rudrasis Chakraborty, Vikas Singh

UAI 2021 A Variational Approximation for Analyzing the Dynamics of Panel Data Jurijs Nazarovs, Rudrasis Chakraborty, Songwong Tasneeyapant, Sathya Ravi, Vikas Singh

NeurIPS 2021 An Online Riemannian PCA for Stochastic Canonical Correlation Analysis Zihang Meng, Rudrasis Chakraborty, Vikas Singh

AAAI 2021 Flow-Based Generative Models for Learning Manifold to Manifold Mappings Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh

AAAI 2021 Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh

CVPR 2021 Simpler Certified Radius Maximization by Propagating Covariances Xingjian Zhen, Rudrasis Chakraborty, Vikas Singh

CVPRW 2020 C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning Rudrasis Chakraborty, Yifei Xing, Minxuan Duan, Stella X. Yu

CVPRW 2019 Sur-Real: Frechet Mean and Distance Transform for Complex-Valued Deep Learning Rudrasis Chakraborty, Jiayun Wang, Stella X. Yu

CVPRW 2019 Visual Similarity from Optimizing Feature and Memory on a Hypersphere Xinlei Pan, Rudrasis Chakraborty, Stella X. Yu

CVPRW 2018 A Mixture Model for Aggregation of Multiple Pre-Trained Weak Classifiers Rudrasis Chakraborty, Chun-Hao Yang, Baba C. Vemuri

NeurIPS 2018 A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek Archer, David Vaillancourt, Vikas Singh, Baba Vemuri

ICCV 2017 A Geometric Framework for Statistical Analysis of Trajectories with Distinct Temporal Spans Rudrasis Chakraborty, Vikas Singh, Nagesh Adluru, Baba C. Vemuri

CVPR 2017 Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning Rudrasis Chakraborty, Soren Hauberg, Baba C. Vemuri

ICCV 2017 Sparse Exact PGA on Riemannian Manifolds Monami Banerjee, Rudrasis Chakraborty, Baba C. Vemuri

CVPR 2016 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. Viallancourt, Baba C. Vemuri

CVPR 2016 An Efficient Exact-PGA Algorithm for Constant Curvature Manifolds Rudrasis Chakraborty, Dohyung Seo, Baba C. Vemuri

ICCV 2015 Recursive Frechet Mean Computation on the Grassmannian and Its Applications to Computer Vision Rudrasis Chakraborty, Baba C. Vemuri