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Sehanobish, Arijit

  1. From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
    2021/07/16 by Krzysztof Choromański, Han Lin, Choromanski, Krzysztof +17 · 5 citations
    Mathematics · Neuroscience · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Photoreceptor and optogenetics research #Quantum optics and atomic interactions #Random Matrices and Applications
  2. Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
    2024/06/24 by Chowdhury, Somnath Basu Roy, Choromanski, Krzysztof, Sehanobish, Arijit +2 · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks
    2020/06/23 by Arijit Sehanobish, Sehanobish, Arijit, Neal G. Ravindra +3 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Medicine · #COVID-19 diagnosis using AI #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #SARS-CoV-2 and COVID-19 Research #SARS-CoV-2 detection and testing #Single-cell and spatial transcriptomics
  4. Hybrid Random Features
    2021/10/08 by Choromanski, Krzysztof, Chen, Haoxian, Lin, Han +10 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning
    2024/06/25 by Arijit Sehanobish, Sehanobish, Arijit, Avinava Dubey +12 · 1 voice · 1 citation
    Computer Science · Physics and Astronomy · #cs.LG #cs.AI #cs.CV