Luca Wehrstedt

Artificial Intelligence · 2019–2025

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #29,858 of 35,345 by trust here, #24,417 by citations
• Graph Learning — 14 citations into it
• Computer Networks and Communications — 5 citations into it; #8,246 of 9,886 by trust here, #5,961 by citations

Whom Luca Wehrstedt trusts overall

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

1. Jure Leskovec

Who trusts Luca Wehrstedt overall

1. Joseph Fisher
2. David M. Beskow

Papers from Luca Wehrstedt's perspective

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

1. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
2. Efficient Estimation of Word Representations in Vector Space
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Automatic differentiation in PyTorch
9. Large Scale Distributed Deep Networks
10. Gradient-based learning applied to document recognition

Their papers

• PyTorch-BigGraph: A Large-scale Graph Embedding System (2019) — 414 citations
• DINOv3 (2025) — 1,140 citations
• The Llama 3 Herd of Models (2024) — 17,085 citations