![]() | ![]() |
| 2012 | ||
|---|---|---|
| 36 | Uri Shalit, Daphna Weinshall, Gal Chechik: Online Learning in the Embedded Manifold of Low-rank Matrices. Journal of Machine Learning Research 13: 429-458 (2012) | |
| 2011 | ||
| 35 | Richard F. Lyon, Jay Ponte, Gal Chechik: Sparse coding of auditory features for machine hearing in interference. ICASSP 2011: 5876-5879 | |
| 2010 | ||
| 34 | Geremy Heitz, Gal Chechik: Object separation in x-ray image sets. CVPR 2010: 2093-2100 | |
| 33 | Uri Shalit, Daphna Weinshall, Gal Chechik: Online Learning in The Manifold of Low-Rank Matrices. NIPS 2010: 2128-2136 | |
| 32 | Gal Chechik, Varun Sharma, Uri Shalit, Samy Bengio: Large Scale Online Learning of Image Similarity Through Ranking. Journal of Machine Learning Research 11: 1109-1135 (2010) | |
| 31 | Richard F. Lyon, Martin Rehn, Samy Bengio, Thomas C. Walters, Gal Chechik: Sound Retrieval and Ranking Using Sparse Auditory Representations. Neural Computation 22(9): 2390-2416 (2010) | |
| 2009 | ||
| 30 | Gal Chechik, Varun Sharma, Uri Shalit, Samy Bengio: Large Scale Online Learning of Image Similarity through Ranking. IbPRIA 2009: 11-14 | |
| 29 | Gal Chechik, Uri Shalit, Varun Sharma, Samy Bengio: An Online Algorithm for Large Scale Image Similarity Learning. NIPS 2009: 306-314 | |
| 2008 | ||
| 28 | Gal Chechik, Eugene Ie, Martin Rehn, Samy Bengio, Dick Lyon: Large-scale content-based audio retrieval from text queries. Multimedia Information Retrieval 2008: 105-112 | |
| 27 | Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller: Max-margin Classification of Data with Absent Features. Journal of Machine Learning Research 9: 1-21 (2008) | |
| 2007 | ||
| 26 | Gal Chechik, Christina S. Leslie, William Stafford Noble, Gunnar Rätsch, Quaid Morris, Koji Tsuda: NIPS workshop on New Problems and Methods in Computational Biology. BMC Bioinformatics 8(S-10): (2007) | |
| 25 | Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby: Euclidean Embedding of Co-occurrence Data. Journal of Machine Learning Research 8: 2265-2295 (2007) | |
| 2006 | ||
| 24 | Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby: Embedding Heterogeneous Data Using Statistical Models. AAAI 2006: 1605-1608 | |
| 23 | Alexis Battle, Gal Chechik, Daphne Koller: Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks. NIPS 2006: 121-128 | |
| 22 | Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller: Max-margin classification of incomplete data. NIPS 2006: 233-240 | |
| 21 | Sean O'Rourke, Gal Chechik, Robin Friedman, Eleazar Eskin: Discrete profile comparison using information bottleneck. BMC Bioinformatics 7(S-1): (2006) | |
| 2005 | ||
| 20 | Israel Nelken, Gal Chechik, Thomas D. Mrsic-Flogel, Andrew J. King, Jan W. H. Schnupp: Encoding Stimulus Information by Spike Numbers and Mean Response Time in Primary Auditory Cortex. Journal of Computational Neuroscience 19(2): 199-221 (2005) | |
| 19 | Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss: Information Bottleneck for Gaussian Variables. Journal of Machine Learning Research 6: 165-188 (2005) | |
| 2004 | ||
| 18 | Koby Crammer, Gal Chechik: A needle in a haystack: local one-class optimization. ICML 2004 | |
| 17 | Sean O'Rourke, Gal Chechik, Robin Friedman, Eleazar Eskin: Discrete profile alignment via constrained information bottleneck. NIPS 2004 | |
| 16 | Amir Globerson, Gal Chechik, Fernando C. Pereira, Naftali Tishby: Euclidean Embedding of Co-Occurrence Data. NIPS 2004 | |
| 2003 | ||
| 15 | Hezi Avraham, Gal Chechik, Eytan Ruppin: Are There Representations in Embodied Evolved Agents? Taking Measures. ECAL 2003: 743-752 | |
| 14 | Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss: Information Bottleneck for Gaussian Variables. NIPS 2003 | |
| 13 | Amir Globerson, Gal Chechik, Naftali Tishby: Sufficient Dimensionality Reduction with Irrelevance Statistics. UAI 2003: 281-288 | |
| 12 | Gal Chechik: Spike-Timing-Dependent Plasticity and Relevant Mutual Information Maximization. Neural Computation 15(7): 1481-1510 (2003) | |
| 2002 | ||
| 11 | Gal Chechik, Naftali Tishby: Extracting Relevant Structures with Side Information. NIPS 2002: 857-864 | |
| 2001 | ||
| 10 | Gal Chechik, Amir Globerson, M. J. Anderson, E. D. Young, Israel Nelken, Naftali Tishby: Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway. NIPS 2001: 173-180 | |
| 9 | Gal Chechik, Isaac Meilijson, Eytan Ruppin: Effective Neuronal Learning with Ineffective Hebbian Learning Rules. Neural Computation 13(4): 817-840 (2001) | |
| 8 | Gal Chechik: Spike timing dependent plasticity and mutual information in spiking neurons. Neurocomputing 38-40: 147-152 (2001) | |
| 2000 | ||
| 7 | Gal Chechik, Naftali Tishby: Temporally Dependent Plasticity: An Information Theoretic Account. NIPS 2000: 110-116 | |
| 6 | Gal Chechik, Isaac Meilijson, Eytan Ruppin: Neuronal normalization provides effective learning through ineffective synaptic learning rules. Neurocomputing 32-33: 345-351 (2000) | |
| 1999 | ||
| 5 | Gal Chechik, Isaac Meilijson, Eytan Ruppin: Effective Learning Requires Neuronal Remodeling of Hebbian Synapses. NIPS 1999: 96-102 | |
| 4 | Gal Chechik, Isaac Meilijson, Eytan Ruppin: Neuronal Regulation: A Mechanism for Synaptic Pruning During Brain Maturation. Neural Computation 11(8): 2061-2080 (1999) | |
| 3 | Gal Chechik, Isaac Meilijson, Eytan Ruppin: Neuronal regulation: A biologically plausible mechanism for efficient synaptic pruning in development. Neurocomputing 26-27: 633-639 (1999) | |
| 1998 | ||
| 2 | Gal Chechik, Isaac Meilijson, Eytan Ruppin: Neuronal Regulation Implements Efficient Synaptic Pruning. NIPS 1998: 97-103 | |
| 1 | Gal Chechik, Isaac Meilijson, Eytan Ruppin: Synaptic Pruning In Development: A Computational Account. Neural Computation 10(7): 1759-1777 (1998) | |
Colors in the list of coauthors
Last update Sun May 27 04:04:01 2012 CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page