Philip Sterne

Name:	Philip Sterne
Affiliation:	University of Cambridge
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	Tue Sep 28 12:23:23 +0000 2010

Public lists managed by Philip Sterne

• Inference Group
• Machine Learning Journal Club
• TQS Journal Clubs

Talks given by Philip Sterne

Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.

• Robust Associative memory
• Neurally-inspired Computing
• Oscillations, Phase-of-firing Coding and STDP: An Efficient Learning Scheme (Journal club)
• Computational Neuroscience Journal Club
• Capacity of Spiking Neural Networks
• Title to be confirmed
• Bursty and Hierarchical Structure in Streams.
• Useful Computation with Coincidence Detection
• Computational Neuroscience Journal Club
• NIPS Highlights
• Spiking Boltzmann Machines
• Associative Memories
• Associative Memories
• Uniform sampling from various sets
• Cheap and cheerful neural inference
• Principled Hybrids of Generative and Discriminative Models
• Semantic Hashing, Deep Autoencoders and Universal Approximators
• Reinforcement Learning in continuous state-spaces
• Loopy Belief Propagation
• Basics of Belief Propagation
• Hierarchical Bayesian inference in networks of spiking neurons
• Pre-Gatsby Workshop
• Clustering by Passing Messages Between Data Points
• Learning and Stability in Random Sigma-Pi Networks
• Journal Club "Searching for memories, Sudoku, implicit check-bits, and the iterative use of not-always-correct rapid neural computation"

Talks organised by Philip Sterne

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Philip Sterne actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• Statistical Language Modelling
• Title to be confirmed
• Topic Models -- and how to break them
• Useful Computation with Coincidence Detection
• More NIPS highlights
• NIPS Highlights
• Spiking Boltzmann Machines
• The discovery of structural form
• Associative Memories
• Noise in the central nervous system
• On Sparsity and Overcompleteness in Image Models
• On sparsity and overcompleteness in image models
• Title to be confirmed
• How nervous systems are designed to be energy efficient
• Bayesian learning of visual chunks by human observers
• Principled Hybrids of Generative and Discriminative Models
• The development of a motor network in Drosophila, the role of precocious neural activity in the emergence of coordination
• Hierarchical Bayesian inference in networks of spiking neurons
• Predictive Interaction using the Delphian Desktop
• Combining Causal and Similarity-based reasoning
• Efficient Bayesian Task-Level Transfer Learning
• Kingman's coalescent, non-parametric Bayesian agglomerative clustering
• Contextual dependencies in unsupervised word segmentation
• Pre-Gatsby Workshop
• Clustering by Passing Messages Between Data Points
• Title Language Model
• Bring your Papers!