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cs.LG2025
Generalization Bound for a General Class of Neural Ordinary Differential Equations
Madhusudan Verma, Manoj Kumar
Neural ordinary differential equations (neural ODEs) are a popular type of deep learning model that operate with continuous-depth architectures. To assess how well such models perf…
cs.LG2021★ 1 cited
Beyond Nyströmformer -- Approximation of self-attention by Spectral Shifting
Madhusudan Verma
Transformer is a powerful tool for many natural language tasks which is based on self-attention, a mechanism that encodes the dependence of other tokens on each specific token, but…
cs.LG2020★ 1 cited
Revisiting Linformer with a modified self-attention with linear complexity
Madhusudan Verma
Although Transformer models such as Google's BERT and OpenAI's GPT-3 are successful in many natural language processing tasks, training and deploying these models are costly and in…