Thomas C. Bachlechner

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Model Architectures — 17 citations into it
• Optimization & Training — 17 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Astronomy and Astrophysics — 12 citations into it; #7,653 of 10,964 by trust here, #8,953 by citations
• Nuclear and High Energy Physics — 11 citations into it; #4,229 of 6,161 by trust here, #4,905 by citations
• Statistical and Nonlinear Physics — 6 citations into it

Whom Thomas C. Bachlechner trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. X. Zhang
4. N. Arkani-Hamed
5. Sergey Ioffe
6. Tom Rudelius
7. Yoshua Bengio
8. Jimmy Ba
9. Shaoqing Ren
10. Alex Krizhevsky

Who trusts Thomas C. Bachlechner overall

1. M. Montero
2. Andrew Brock
3. Matthew McPartlon
4. Sam Shleifer
5. B. Heidenreich
6. Charlie Nash
7. Tianyang Lin
8. Eran Palti
9. Hugo Touvron
10. Liyuan Liu

Papers from Thomas C. Bachlechner's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• ReZero is All You Need: Fast Convergence at Large Depth (2020) — 404 citations
• Planckian axions and the Weak Gravity Conjecture (2015) — 151 citations