Giacomo Torlai
Atomic and Molecular Physics, and Optics · 2017–2021
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Atomic and Molecular Physics, and Optics — 75 citations into it
- Artificial Intelligence — 63 citations into it
- Condensed Matter Physics — 20 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
Whom Giacomo Torlai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shun-ichi Amari
- Ruslan Salakhutdinov
- Geoffrey E. Hinton
- S. White
- G. Fiquet
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Ulrich Schollwoeck
- Lei Wang
Who trusts Giacomo Torlai overall
Papers from Giacomo Torlai's perspective
Ordered by how strongly the researchers Giacomo Torlai trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Provably efficient machine learning for quantum many-body problems (2021) — 318 citations
- Reconstructing quantum states with generative models (2018) — 341 citations
- Neural-network quantum state tomography (2017) — 901 citations