Anirudh, Rushil

27 publications

CVPRW 2024 'Eyes of a Hawk and Ears of a Fox': Part Prototype Network for Generalized Zero-Shot Learning Joshua Feinglass, Jayaraman J. Thiagarajan, Rushil Anirudh, T. S. Jayram, Yezhou Yang

ICLR 2024 Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks Puja Trivedi, Mark Heimann, Rushil Anirudh, Danai Koutra, Jayaraman J. Thiagarajan

NeurIPS 2024 On the Use of Anchoring for Training Vision Models Vivek Narayanaswamy, Kowshik Thopalli, Rushil Anirudh, Yamen Mubarka, Wesam Sakla, Jayaraman J. Thiagarajan

ICML 2024 PAGER: Accurate Failure Characterization in Deep Regression Models Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Puja Trivedi, Rushil Anirudh

ICMLW 2023 Adapting Blackbox Generative Models via Inversion Sinjini Mitra, Rakshith Subramanyam, Rushil Anirudh, Jayaraman J. Thiagarajan, Ankita Shukla, Pavan K. Turaga

WACV 2023 Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification Rakshith Subramanyam, Mark Heimann, T.S. Jayram, Rushil Anirudh, Jayaraman J. Thiagarajan

CVPR 2023 Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Weng-Keen Wong

ICCV 2023 DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Stewart He, K Aditya Mohan, Ulugbek S. Kamilov, Hyojin Kim

NeurIPSW 2023 Estimating Epistemic Uncertainty of Graph Neural Networks Using Stochastic Centering Puja Trivedi, Mark Heimann, Rushil Anirudh, Danai Koutra, Jayaraman J. Thiagarajan

ICCVW 2023 Exploring Inlier and Outlier Specification for Improved Medical OOD Detection Vivek Sivaraman Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Jayaraman J. Thiagarajan

WACV 2023 Improving Diversity with Adversarially Learned Transformations for Domain Generalization Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang

ACML 2022 Out of Distribution Detection via Neural Network Anchoring Rushil Anirudh, Jayaraman J. Thiagarajan

NeurIPS 2022 Single Model Uncertainty Estimation via Stochastic Data Centering Jayaraman Thiagarajan, Rushil Anirudh, Vivek Sivaraman Narayanaswamy, Timo Bremer

AAAI 2021 Accurate and Robust Feature Importance Estimation Under Distribution Shifts Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias

AAAI 2021 Attribute-Guided Adversarial Training for Robustness to Natural Perturbations Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang

ICCV 2021 Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields Albert W. Reed, Hyojin Kim, Rushil Anirudh, K. Aditya Mohan, Kyle Champley, Jingu Kang, Suren Jayasuriya

WACV 2021 Generative Patch Priors for Practical Compressive Image Recovery Rushil Anirudh, Suhas Lohit, Pavan Turaga

WACV 2021 Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization Suhas Lohit, Rushil Anirudh, Pavan Turaga

NeurIPSW 2021 Unsupervised Attribute Alignment for Characterizing Distribution Shift Matthew Lyle Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Weng-Keen Wong, Peer-timo Bremer

NeurIPSW 2019 Extreme Few-View CT Reconstruction Using Deep Inference Hyojin Kim, Rushil Anirudh, K. Aditya Mohan, Kyle Champley

NeurIPSW 2019 Improving Limited Angle CT Reconstruction with a Robust GAN Prior Rushil Anirudh, Hyojin Kim, Jayaraman J. Thiagarajan, K. Aditya Mohan, Kyle Champley

CVPR 2018 Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion Rushil Anirudh, Hyojin Kim, Jayaraman J. Thiagarajan, K. Aditya Mohan, Kyle Champley, Timo Bremer

CVPRW 2017 Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer

CVPRW 2016 A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga

CVPRW 2016 Riemannian Geometric Approaches for Measuring Movement Quality Anirudh Som, Rushil Anirudh, Qiao Wang, Pavan K. Turaga

CVPR 2015 Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables Rushil Anirudh, Pavan Turaga, Jingyong Su, Anuj Srivastava

WACV 2014 Interactively Test Driving an Object Detector: Estimating Performance on Unlabeled Data Rushil Anirudh, Pavan K. Turaga