Lenon Minorics

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #19,870 of 35,345 by trust here, #27,551 by citations
• Safety, Robustness & Interpretability — 17 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Lenon Minorics trusts overall

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

1. Mukund Sundararajan
2. Avanti Shrikumar
3. Lloyd S. Shapley
4. Eric J. Friedman
5. Scott M. Lundberg
6. Bradley C. Boehmke
7. Alexey Kurakin
8. Kjersti Aas
9. Peyton Greenside
10. Alexander Binder

Who trusts Lenon Minorics overall

1. Scott M. Lundberg
2. Ian Covert
3. Christoph Molnar
4. Guy Van den Broeck

Papers from Lenon Minorics's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. ImageNet Large Scale Visual Recognition Challenge
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Learning Multiple Layers of Features from Tiny Images
8. Axiomatic Attribution for Deep Networks
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Feature relevance quantification in explainable AI: A causality problem (2019) — 367 citations