Roderick Murray-Smith

Cognitive Neuroscience · 2000–2015

A researcher in the Science corpus: 10 papers; trusts 8 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 43 citations into it
• Human-Computer Interaction — 12 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it
• Optimization & Training — 5 citations into it
• Social Psychology — 5 citations into it

Whom Roderick Murray-Smith trusts overall

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

1. Christopher K. I. Williams
2. Volker Tresp
3. Matthias W. Seeger
4. Radford M. Neal
5. Jian Qing Shi
6. Agathe Girard
7. Jan M. Maciejowski
8. Mel Slater
9. Carl E. Rasmussen
10. Neil D. Lawrence

Who trusts Roderick Murray-Smith overall

1. Neil D. Lawrence
2. Jus Kocijan
3. Carl E. Rasmussen
4. Michael A. Osborne
5. Duy Nguyen-Tuong
6. Phillip Boyle
7. Gang Feng
8. Jan Peters
9. Agathe Girard
10. Marc Peter Deisenroth

Papers from Roderick Murray-Smith's perspective

Ordered by how strongly the researchers Roderick Murray-Smith trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Using the Nyström Method to Speed Up Kernel Machines
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Bayesian learning for neural networks
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

• Dynamic systems identification with Gaussian processes (2005) — 245 citations
• A Dose of Reality: Overcoming Usability Challenges in VR Head-Mounted Displays (2015) — 330 citations
• Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges (2010) — 919 citations
• Learning with large data sets using filtered {G}aussian Process priors (2005) — 3 citations
• Gaussian process model based predictive control (2004) — 287 citations
• Transformations of Gaussian Process Priors (2004) — 39 citations
• Multiple-step ahead prediction for non linear dynamic systems: A Gaussian Process treatment with propagation of the uncertainty (2003) — 83 citations
• Derivative Observations in Gaussian Process Models of Dynamic Systems (2002) — 373 citations
• Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting (2002) — 497 citations
• On the interpretation and identification of dynamic Takagi-Sugeno fuzzy models (2000) — 357 citations