2008 |
10 | EE | Menachem Fromer,
Chen Yanover:
A computational framework to empower probabilistic protein design.
ISMB 2008: 214-222 |
9 | EE | Chen Yanover,
Ora Schueler-Furman,
Yair Weiss:
Minimizing and Learning Energy Functions for Side-Chain Prediction.
Journal of Computational Biology 15(7): 899-911 (2008) |
2007 |
8 | EE | Chen Yanover,
Ora Schueler-Furman,
Yair Weiss:
Minimizing and Learning Energy Functions for Side-Chain Prediction.
RECOMB 2007: 381-395 |
7 | EE | Tomer Hertz,
Chen Yanover:
Identifying HLA supertypes by learning distance functions.
Bioinformatics 23(2): 148-155 (2007) |
6 | EE | Chen Yanover,
Menachem Fromer,
Julia M. Shifman:
Dead-end elimination for multistate protein design.
Journal of Computational Chemistry 28(13): 2122-2129 (2007) |
2006 |
5 | EE | Chen Yanover,
Talya Meltzer,
Yair Weiss:
Linear Programming Relaxations and Belief Propagation - An Empirical Study.
Journal of Machine Learning Research 7: 1887-1907 (2006) |
2005 |
4 | EE | Talya Meltzer,
Chen Yanover,
Yair Weiss:
Globally Optimal Solutions for Energy Minimization in Stereo Vision Using Reweighted Belief Propagation.
ICCV 2005: 428-435 |
3 | EE | Chen Yanover,
Tomer Hertz:
Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions.
RECOMB 2005: 456-471 |
2003 |
2 | EE | Chen Yanover,
Yair Weiss:
Finding the M Most Probable Configurations in Arbitrary Graphical Models.
NIPS 2003 |
2002 |
1 | EE | Chen Yanover,
Yair Weiss:
Approximate Inference and Protein-Folding.
NIPS 2002: 1457-1464 |