Takuo Matsubara

Statistics and Probability · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 28 citations into it
• Artificial Intelligence — 18 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Takuo Matsubara trusts overall

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

1. Aapo Hyvärinen
2. G. Alastair Young
3. J. Bernardo
4. Iain Murray
5. Kacper P. Chwialkowski
6. Pier Giovanni Bissiri
7. Christopher C. Holmes
8. Heiko Strathmann
9. Adrian F. M. Smith
10. Julian Besag

Papers from Takuo Matsubara's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Multiple Layers of Features from Tiny Images
6. Estimation of Non-Normalized Statistical Models by Score Matching
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Robust generalised Bayesian inference for intractable likelihoods (2021) — 109 citations