Arijit Sehanobish
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
7
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs. | Krzysztof Marcin Choromanski, Isaac Reid, Arijit Sehanobish, Kumar Avinava Dubey |
| 2025 | ICLR | Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning. | Somnath Basu Roy Chowdhury, Krzysztof Marcin Choromanski, Arijit Sehanobish, Kumar Avinava Dubey, Snigdha Chaturvedi |
| 2025 | UIST | When Context Grows, So Does the Challenge: Human Oversight in LLM Evaluation of Financial Tables. | Arijit Sehanobish, Shirley Anderson, Guillaume Michel, Mike Arov |
| 2024 | ICLR | Scalable Neural Network Kernels. | Arijit Sehanobish, Krzysztof Marcin Choromanski, Yunfan Zhao, Kumar Avinava Dubey, Valerii Likhosherstov |
| 2023 | ICML | Efficient Graph Field Integrators Meet Point Clouds. | Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tams Sarls, Snigdha Chaturvedi, Adrian Weller |
| 2022 | EMNLP | Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks. | Arijit Sehanobish, Kawshik Kannan, Nabila Abraham, Anasuya Das, Benjamin Odry |
| 2022 | ICLR | Hybrid Random Features. | Krzysztof Marcin Choromanski, Han Lin, Haoxian Chen, Arijit Sehanobish, Yuanzhe Ma, Deepali Jain, Jake Varley, Andy Zeng, Michael S. Ryoo, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller |
| 2022 | ICML | From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers. | Krzysztof Choromanski, Han Lin, Haoxian Chen, Tianyi Zhang, Arijit Sehanobish, Valerii Likhosherstov, Jack Parker-Holder, Tams Sarls, Adrian Weller, Thomas Weingarten |
| 2022 | NAACL | Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports. | Arijit Sehanobish, McCullen Sandora, Nabila Abraham, Jayashri Pawar, Danielle Torres, Anasuya Das, Murray Becker, Richard Herzog, Benjamin Odry, Ron Vianu |
| 2021 | AAAI | Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks. | Arijit Sehanobish, Neal G. Ravindra, David van Dijk |
| 2020 | AAAI | Using Chinese Glyphs for Named Entity Recognition (Student Abstract). | Chan Hee Song, Arijit Sehanobish |