Desai, Arjun D

8 publications

ICML 2025 Efficient Noise Calculation in Deep Learning-Based MRI Reconstructions Onat Dalmaz, Arjun D Desai, Reinhard Heckel, Tolga Cukur, Akshay S Chaudhari, Brian Hargreaves

ICLRW 2025 Llamba: Scaling Distilled Recurrent Models for Efficient Language Processing Aviv Bick, Tobias Katsch, Nimit Sharad Sohoni, Arjun D Desai, Albert Gu

ICML 2024 Prospector Heads: Generalized Feature Attribution for Large Models & Data Gautam Machiraju, Alexander Derry, Arjun D Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B Altman, Christopher Re, Parag Mallick

ICMLW 2023 Prospectors: Leveraging Short Contexts to Mine Salient Objects in High-Dimensional Imagery Gautam Machiraju, Arjun D Desai, James Zou, Christopher Re, Parag Mallick

NeurIPSW 2023 Using Deep Feature Distances for Evaluating MR Image Reconstruction Quality Philip M Adamson, Arjun D Desai, Jeffrey Dominic, Christian Bluethgen, Jeff P. Wood, Ali B Syed, Robert D. Boutin, Kathryn J. Stevens, Shreyas Vasanawala, John M. Pauly, Akshay S Chaudhari, Beliz Gunel

MIDL 2023 VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M Pauly, Akshay S. Chaudhari

NeurIPSW 2021 Greedy Learning for Large-Scale Neural MRI Reconstruction Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D Desai, John M. Pauly, Shreyas Vasanawala, Morteza Mardani, Mert Pilanci

NeurIPSW 2021 SSFD: Self-Supervised Feature Distance as an MR Image Reconstruction Quality Metric Philip M Adamson, Beliz Gunel, Jeffrey Dominic, Arjun D Desai, Daniel Spielman, Shreyas Vasanawala, John M. Pauly, Akshay Chaudhari