- Investigations of Gaussian Products-of-Experts Models
- Investigations of Gaussian Products-of-Experts Models
- Analysis of CD Learning: Auxiliary Derivations
- Kernelized Infomax Clustering Felix V. Agakov
- Using Machine Learning to Focus Iterative Optimization F. Agakov, E. Bonilla, J.Cavazos, B.Franke, G. Fursin,
- Spiking Sequence Learning using Maximum Likelihood: Hopfield Networks
- Approximate Learning in Temporal Hidden Hopfield Felix V. Agakov 1 and David Barber 1
- Automatic Performance Model Construction for the Fast Software Exploration of New Hardware Designs
- Products of Gaussians and Probabilistic Minor Component C.K.I. Williams
- Temporal Hidden Hopfield Models Felix V. Agakov and David Barber
- NIPS*01 submission Category: Algorithms and Architectures Presentation preference: Oral
- Variational Information Maximization in Gaussian Channels Felix V. Agakov
- Sparse Instrumental Variables (SPIV) for Genome-Wide Studies
- An Auxiliary Variational Method Felix V. Agakov, David Barber
- Information-Theoretic Clustering in Nonlinear Encoder Models
- Investigations of Gaussian Products-of-Experts Models
- Variational Information Maximization for Neural Coding
- Kernel Multi-task Learning using Task-specific Features Edwin V. Bonilla, Felix V. Agakov, Christopher K. I. Williams
- Variational Information Maximization in Gaussian Channels Felix V. Agakov
- An Analysis of Contrastive Divergence Learning in Gaussian Boltzmann Machines
- Predictive Search Distributions Edwin V. Bonilla edwin.bonilla@ed.ac.uk
- An Auxiliary Variational Method Felix V. Agakov1
- Felix Vsevolodovich Agakov Publication List, Page 1 of 1 FELIX AGAKOV { Publication List
- Extreme Components Analysis Max Welling
- Extreme Components Analysis Max Welling
- Auxiliary Variational Information Maximization for Dimensionality Reduction
- Kernelized Infomax Clustering Felix V. Agakov
- Approximate Learning in Temporal Hidden Hopfield Felix V. Agakov1
- An Auxiliary Variational Method Felix V. Agakov, David Barber
- Temporal Hidden Hopfield Models Felix V. Agakov and David Barber
- Variational Information Maximization in Stochastic Environments
- Inference of Causal Relationships between Biomarkers and Outcomes in High Felix AGAKOV and Paul MCKEIGUE
- Abundant Pleiotropy in Human Complex Diseases and Traits
