Niranjan Govind
Artificial Intelligence · 2003–2021
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it
Whom Niranjan Govind trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Niranjan Govind overall
Papers from Niranjan Govind's perspective
Ordered by how strongly the researchers Niranjan Govind trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- A Fast Learning Algorithm for Deep Belief Nets
- Deep Learning
- Quantum Computing in the NISQ era and beyond (Quantum)
- Quantum computational chemistry (Reviews of Modern Physics)
- Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz (Quantum Science and Technology)
- Absence of Barren Plateaus in Quantum Convolutional Neural Networks (Physical Review X)
- Learning in modular systems
- Tapering off qubits to simulate fermionic Hamiltonians
Their papers
- A generalized synchronous transit method for transition state location (2003) — 1,048 citations
- VQE method: a short survey and recent developments (2021) — 260 citations
- NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations (2010) — 4,415 citations