Sachin Vaidya

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sachin Vaidya trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Johannes Schmidt-Hieber

Papers from Sachin Vaidya's perspective

Ordered by how strongly the researchers Sachin Vaidya trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Fourier Neural Operator for Parametric Partial Differential Equations (International Conference on Learning Representations)
  7. Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators (Nature Machine Intelligence)
  8. Implicit Neural Representations with Periodic Activation Functions
  9. Deep Learning Scaling is Predictable, Empirically
  10. Deep Sets

Their papers