Rushil Anirudh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
15
Active years
2013–2024
Best venue rank
A*
Where they publish
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CVPR | '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 |
| 2024 | ICASSP | The Double-Edged Sword Of Ai Safety: Balancing Anomaly Detection and OOD Generalization Via Model Anchoring. | Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Jayaraman J. Thiagarajan |
| 2024 | ICASSP | Exploring the Utility of Clip Priors for Visual Relationship Prediction. | Rakshith Subramanyam, T. S. Jayram, Rushil Anirudh, Jayaraman J. Thiagarajan |
| 2024 | ICLR | Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks. | Puja Trivedi, Mark Heimann, Rushil Anirudh, Danai Koutra, Jayaraman J. Thiagarajan |
| 2024 | ICML | PAGER: Accurate Failure Characterization in Deep Regression Models. | Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Puja Trivedi, Rushil Anirudh |
| 2023 | CVPR | 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 |
| 2023 | ICASSP | Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks. | Eun Som Jeon, Suhas Lohit, Rushil Anirudh, Pavan K. Turaga |
| 2023 | ICCV | 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 |
| 2023 | WACV | Improving Diversity with Adversarially Learned Transformations for Domain Generalization. | Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang |
| 2023 | WACV | Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification. | Rakshith Subramanyam, Mark Heimann, T. S. Jayram, Rushil Anirudh, Jayaraman J. Thiagarajan |
| 2022 | ACML | Out of Distribution Detection via Neural Network Anchoring. | Rushil Anirudh, Jayaraman J. Thiagarajan |
| 2022 | ICASSP | Sparsity Improves Unsupervised Attribute Discovery in Stylegan. | Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer |
| 2022 | ICASSP | Predicting the Generalization Gap in Deep Models using Anchoring. | Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Irene Kim, Yamen Mubarka, Andreas Spanias, Jayaraman J. Thiagarajan |
| 2022 | ICML | Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates. | Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz |
| 2022 | ICML | Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models. | Jayaraman J. Thiagarajan, Rushil Anirudh, Peer-Timo Bremer, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz |
| 2021 | AAAI | Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. | Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang |
| 2021 | AAAI | Accurate and Robust Feature Importance Estimation under Distribution Shifts. | Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias |
| 2021 | ICCV | 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 |
| 2021 | ISVC | Data-Driven Estimation of Temporal-Sampling Errors in Unsteady Flows. | Harsh Bhatia, Steve Petruzza, Rushil Anirudh, Attila Gyulassy, Robert M. Kirby, Valerio Pascucci, Peer-Timo Bremer |
| 2021 | WACV | Generative Patch Priors for Practical Compressive Image Recovery. | Rushil Anirudh, Suhas Lohit, Pavan K. Turaga |
| 2021 | WACV | Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization. | Suhas Lohit, Rushil Anirudh, Pavan K. Turaga |
| 2020 | ICASSP | Rate-Invariant Autoencoding of Time-Series. | Kaushik Koneripalli, Suhas Lohit, Rushil Anirudh, Pavan K. Turaga |
| 2020 | Interspeech | Unsupervised Audio Source Separation Using Generative Priors. | Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias |
| 2019 | CLUSTER | Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. | Sam Ade Jacobs, Jim Gaffney, Tom Benson, Peter B. Robinson, J. Luc Peterson, Brian K. Spears, Brian Van Essen, David Hysom, Jae-Seung Yeom, Tim Moon, Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer |
| 2019 | ICASSP | Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification. | Rushil Anirudh, Jayaraman J. Thiagarajan |
| 2019 | ICASSP | Unsupervised Dimension Selection Using a Blue Noise Graph Spectrum. | Jayaraman J. Thiagarajan, Rushil Anirudh, Rahul Sridhar, Peer-Timo Bremer |
| 2019 | ICASSP | Understanding Deep Neural Networks through Input Uncertainties. | Jayaraman J. Thiagarajan, Irene Kim, Rushil Anirudh, Peer-Timo Bremer |
| 2019 | ICASSP | Multiple Subspace Alignment Improves Domain Adaptation. | Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan, Pavan K. Turaga |
| 2018 | CVPR | 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 |
| 2018 | ICS | Bootstrapping Parameter Space Exploration for Fast Tuning. | Jayaraman J. Thiagarajan, Nikhil Jain, Rushil Anirudh, Alfredo Gimnez, Rahul Sridhar, Aniruddha Marathe, Tao Wang, Murali Emani, Abhinav Bhatele, Todd Gamblin |
| 2017 | CVPR | Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization. | Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer |
| 2017 | SC | Performance modeling under resource constraints using deep transfer learning. | Aniruddha Marathe, Rushil Anirudh, Nikhil Jain, Abhinav Bhatele, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Jae-Seung Yeom, Barry Rountree, Todd Gamblin |
| 2016 | CVPR | A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams. | Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga |
| 2016 | CVPR | Riemannian Geometric Approaches for Measuring Movement Quality. | Anirudh Som, Rushil Anirudh, Qiao Wang, Pavan K. Turaga |
| 2016 | ICIP | Diversity promoting online sampling for streaming video summarization. | Rushil Anirudh, Ahnaf Masroor, Pavan K. Turaga |
| 2015 | CVPR | Elastic functional coding of human actions: From vector-fields to latent variables. | Rushil Anirudh, Pavan K. Turaga, Jingyong Su, Anuj Srivastava |
| 2015 | DCC | Geometric Compression of Orientation Signals for Fast Gesture Analysis. | Aswin Sivakumar, Rushil Anirudh, Pavan K. Turaga |
| 2014 | WACV | Interactively test driving an object detector: Estimating performance on unlabeled data. | Rushil Anirudh, Pavan K. Turaga |
| 2013 | ICASSP | A heterogeneous dictionary model for representation and recognition of human actions. | Rushil Anirudh, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias |