Kai Ueltzhoffer

Cognitive Neuroscience · 2022

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 30 citations into it
• Artificial Intelligence — 18 citations into it
• Statistical and Nonlinear Physics — 16 citations into it
• Reinforcement Learning — 10 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Cognitive Science & Psychology — 5 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Kai Ueltzhoffer trusts overall

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

1. David John Cameron MacKay

Papers from Kai Ueltzhoffer's perspective

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

1. Information Theory, Inference, and Learning Algorithms
2. Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
3. What is Intrinsic Motivation? A Typology of Computational Approaches
4. Variational algorithms for approximate Bayesian inference
5. Hierarchically organized behavior and its neural foundations: A reinforcement-learning perspective
6. Path integrals and symmetry breaking for optimal control theory
7. Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy
8. ImageNet classification with deep convolutional neural networks
9. Bayesian surprise attracts human attention
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• The free energy principle made simpler but not too simple (2022) — 151 citations