Veronika Thost
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 51 citations into it
- Natural Language Processing — 26 citations into it
- Computational Theory and Mathematics — 13 citations into it
- Graph Learning — 11 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Veronika Thost trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Christian Szegedy
- Geoffrey Irving
- Sarah M. Loos
- Jimmy Ba
- Justin Gilmer
- Geoffrey E. Hinton
- Kshitij Bansal
- Thomas Kipf
- Sergey Ioffe
Who trusts Veronika Thost overall
Papers from Veronika Thost's perspective
Ordered by how strongly the researchers Veronika Thost trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling (2019) — 40 citations
- An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic (2020) — 6 citations
- CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks (2021) — 391 citations