Martin Volker Butz
Cognitive Neuroscience · 2000–2021
A researcher in the Science corpus: 7 papers; trusts 36 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 46 citations into it
- Artificial Intelligence — 37 citations into it; #35,301 of 35,345 by trust here, #25,040 by citations
- Social Psychology — 31 citations into it
- Reinforcement Learning — 20 citations into it
- Model Architectures — 14 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Cognitive Science & Psychology — 7 citations into it
- Philosophy — 6 citations into it
Whom Martin Volker Butz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Diederik P. Kingma
- Yoshua Bengio
- Andrew Barto
- Ronald J. Williams
- Geoffrey E. Hinton
- J. Urgen Schmidhuber
- Sepp Hochreiter
- Jeffrey L. Elman
- Alex Graves
Who trusts Martin Volker Butz overall
Papers from Martin Volker Butz's perspective
Ordered by how strongly the researchers Martin Volker Butz trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- The 2009 Simulated Car Racing Championship (2010) — 103 citations
- Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains (2021) — 28 citations
- How the Mind Comes into Being: Introducing Cognitive Science from a Functional and Computational Perspective (2017) — 52 citations
- Just Imagine! Learning to Emulate and Infer Actions with a Stochastic Generative Architecture (2016) — 11 citations
- Open Peer Commentaries (2008) — 114 citations
- Learning classifier systems (2007) — 49 citations
- An algorithmic description of XCS (2000) — 595 citations