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Arijit Sehanobish

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Scalable Neural Network Kernels

Oct 20, 2023
Arijit Sehanobish, Krzysztof Choromanski, Yunfan Zhao, Avinava Dubey, Valerii Likhosherstov

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Efficient Graph Field Integrators Meet Point Clouds

Feb 05, 2023
Krzysztof Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Avinava Dubey, Deepali Jain, Tamas Sarlos, Snigdha Chaturvedi, Adrian Weller

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Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports

May 06, 2022
Arijit Sehanobish, McCullen Sandora, Nabila Abraham, Jayashri Pawar, Danielle Torres, Anasuya Das, Murray Becker, Richard Herzog, Benjamin Odry, Ron Vianu

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Efficient Extraction of Pathologies from C-Spine Radiology Reports using Multi-Task Learning

Apr 09, 2022
Arijit Sehanobish, Nathaniel Brown, Ishita Daga, Jayashri Pawar, Danielle Torres, Anasuya Das, Murray Becker, Richard Herzog, Benjamin Odry, Ron Vianu

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Hybrid Random Features

Oct 13, 2021
Krzysztof Choromanski, Haoxian Chen, Han Lin, Yuanzhe Ma, Arijit Sehanobish, Deepali Jain, Michael S Ryoo, Jake Varley, Andy Zeng, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller

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Fine-tuning Vision Transformers for the Prediction of State Variables in Ising Models

Sep 28, 2021
Onur Kara, Arijit Sehanobish, Hector H Corzo

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Application of the Quantum Potential Neural Network to multi-electronic atoms

Jun 08, 2021
Hector H. Corzo, Arijit Sehanobish, Onur Kara

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Permutation invariant networks to learn Wasserstein metrics

Oct 16, 2020
Arijit Sehanobish, Neal Ravindra, David van Dijk

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