Arijit Sehanobish
12 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
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Keywords
transformer architecture
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low displacement rank
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spectral analysis
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medical nlp
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graph theory
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graph neural network
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transformer model
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transfer learning
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few-shot learning
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matrix decomposition
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attention mechanism
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named entity recognition
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point cloud
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knowledge extraction
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graph classification
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multi-task learning
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fast multipole method
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gene expression
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explainable ai
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Papers
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
ICLR 2025
Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs
AISTATS 2025
Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers
NIPS 2024
Scalable Neural Network Kernels
ICLR 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning
NIPS 2024
Efficient Graph Field Integrators Meet Point Clouds
ICML 2023
Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports
NAACL 2022
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks
EMNLP 2022
Hybrid Random Features
ICLR 2022
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
ICML 2022
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks
AAAI 2021
Using Chinese Glyphs for Named Entity Recognition (Student Abstract)
AAAI 2020