Yanping Huang
Cognitive Neuroscience · with Rao · 2014–2019
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 8 citations into it
- Artificial Intelligence — 5 citations into it
Whom Yanping Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gianluigi Mongillo
- Sophie Denève
- Lars Buesing
- Wei Ji Ma
- Konrad Paul Kording
- Wolfgang Maass
- Lawrence R. Rabiner
Who trusts Yanping Huang overall
- David Watson
- A. van den Oord
- C. L. Buckley
- Karol Gregor
- Aäron van den Oord
- Michael W. Spratling
- Chang Sub Kim
- Danilo Jimenez Rezende
- Josh Tenenbaum
- Loren Lugosch
Papers from Yanping Huang's perspective
Ordered by how strongly the researchers Yanping Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Bayesian Spiking Neurons I: Inference (Neural Computation)
- Bayesian integration in sensorimotor learning (Nature)
- Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons
- Bayesian inference with probabilistic population codes (Nature Neuroscience)
- Sequential Monte Carlo Methods in Practice
- Bayesian brain : probabilistic approaches to neural coding
- Online Learning with Hidden Markov Models
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
Their papers
- Predictive Coding (2019)
- Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks (2014) — 46 citations