Pan Kessel
Artificial Intelligence · with Müller · 2018–2020
A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it
- Safety, Robustness & Interpretability — 33 citations into it
- Computer Vision and Pattern Recognition — 28 citations into it
Whom Pan Kessel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Pan Kessel overall
Papers from Pan Kessel's perspective
Ordered by how strongly the researchers Pan Kessel trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Visualizing and Understanding Convolutional Networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
- Long Short-Term Memory
Their papers
- Explanations can be manipulated and geometry is to blame (2019) — 401 citations
- SchNetPack: A Deep Learning Toolbox For Atomistic Systems. (2018) — 389 citations
- Asymptotically unbiased estimation of physical observables with neural samplers. (2020) — 136 citations
- Fairwashing Explanations with Off-Manifold Detergent (2020) — 107 citations
- Asymptotically Unbiased Generative Neural Sampling (2019) — 4 citations