Ian Langmore
Artificial Intelligence · 2017–2023
A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it
- Probabilistic & Bayesian Methods — 31 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Generative Models — 16 citations into it
- Statistics and Probability — 15 citations into it
Whom Ian Langmore trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Matthew D. Hoffman
- Andrew Gelman
- Tim Salimans
- Geoffrey E. Hinton
- Radford M. Neal
- Max Welling
- Yoshua Bengio
- Aäron van den Oord
- Danilo Jimenez Rezende
Who trusts Ian Langmore overall
Papers from Ian Langmore's perspective
Ordered by how strongly the researchers Ian Langmore trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
Their papers
- NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport (2019) — 125 citations
- TensorFlow Distributions (2017) — 401 citations
- Neural general circulation models for weather and climate (2023) — 507 citations
- WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models (2023) — 360 citations