Maximilian Xiling Li

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Generative Models — 14 citations into it
• Reinforcement Learning — 12 citations into it
• Statistical and Nonlinear Physics — 10 citations into it

Whom Maximilian Xiling Li trusts overall

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

1. Pascal Vincent
2. Yang Song
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Jonathan Ho
6. Yoshua Bengio
7. Alex Krizhevsky
8. Stefano Ermon
9. Oier Mees
10. Sergey Levine

Papers from Maximilian Xiling Li's perspective

Ordered by how strongly the researchers Maximilian Xiling Li 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Goal-Conditioned Imitation Learning using Score-based Diffusion Policies (2023) — 298 citations