2007 |
13 | EE | John Cavazos,
Grigori Fursin,
Felix V. Agakov,
Edwin V. Bonilla,
Michael F. P. O'Boyle,
Olivier Temam:
Rapidly Selecting Good Compiler Optimizations using Performance Counters.
CGO 2007: 185-197 |
2006 |
12 | EE | John Cavazos,
Christophe Dubach,
Felix V. Agakov,
Edwin V. Bonilla,
Michael F. P. O'Boyle,
Grigori Fursin,
Olivier Temam:
Automatic performance model construction for the fast software exploration of new hardware designs.
CASES 2006: 24-34 |
11 | EE | Felix V. Agakov,
Edwin V. Bonilla,
John Cavazos,
Björn Franke,
Grigori Fursin,
Michael F. P. O'Boyle,
John Thomson,
Marc Toussaint,
Christopher K. I. Williams:
Using Machine Learning to Focus Iterative Optimization.
CGO 2006: 295-305 |
10 | EE | Edwin V. Bonilla,
Christopher K. I. Williams,
Felix V. Agakov,
John Cavazos,
John Thomson,
Michael F. P. O'Boyle:
Predictive search distributions.
ICML 2006: 121-128 |
2005 |
9 | EE | Felix V. Agakov,
David Barber:
Kernelized Infomax Clustering.
NIPS 2005 |
8 | EE | Felix V. Agakov,
David Barber:
Auxiliary Variational Information Maximization for Dimensionality Reduction.
SLSFS 2005: 103-114 |
2004 |
7 | EE | Felix V. Agakov,
David Barber:
Variational Information Maximization for Neural Coding.
ICONIP 2004: 543-548 |
6 | EE | Felix V. Agakov,
David Barber:
An Auxiliary Variational Method.
ICONIP 2004: 561-566 |
2003 |
5 | EE | Felix V. Agakov,
David Barber:
Approximate Learning in Temporal Hidden Hopfield Models.
ICANN 2003: 107-114 |
4 | EE | Max Welling,
Felix V. Agakov,
Christopher K. I. Williams:
Extreme Components Analysis.
NIPS 2003 |
3 | EE | David Barber,
Felix V. Agakov:
The IM Algorithm: A Variational Approach to Information Maximization.
NIPS 2003 |
2002 |
2 | EE | Christopher K. I. Williams,
Felix V. Agakov:
Products of Gaussians and Probabilistic Minor Component Analysis.
Neural Computation 14(5): 1169-1182 (2002) |
2001 |
1 | EE | Christopher K. I. Williams,
Felix V. Agakov,
Stephen N. Felderhof:
Products of Gaussians.
NIPS 2001: 1017-1024 |