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2020 – today
- 2023
[i33]Stas Tiomkin, Ilya Nemenman, Daniel Polani, Naftali Tishby:
Intrinsic Motivation in Dynamical Control Systems. CoRR abs/2301.00005 (2023)- 2022
- [j41]Nadav Amir
, Naftali Tishby, Israel Nelken:
A simple model of the attentional blink and its modulation by mental training. PLoS Comput. Biol. 18(8) (2022) - 2021
- [c93]Shlomi Agmon, Etam Benger, Or Ordentlich, Naftali Tishby:
Critical Slowing Down Near Topological Transitions in Rate-Distortion Problems. ISIT 2021: 2625-2630 - [i32]Shlomi Agmon, Etam Benger, Or Ordentlich, Naftali Tishby:
Critical Slowing Down Near Topological Transitions in Rate-Distortion Problems. CoRR abs/2103.02646 (2021) - [i31]Hagai Rappeport, Irit Levin Reisman, Naftali Tishby, Nathalie Q. Balaban:
Detecting chaos in lineage-trees: A deep learning approach. CoRR abs/2106.08956 (2021) - 2020
- [j40]Amichai Painsky, Meir Feder, Naftali Tishby:
Nonlinear Canonical Correlation Analysis: A Compressed Representation Approach. Entropy 22(2): 208 (2020) - [j39]Hadar Levi-Aharoni, Oren Shriki, Naftali Tishby:
Surprise response as a probe for compressed memory states. PLoS Comput. Biol. 16(2) (2020) - [j38]Nadav Amir, Reut Suliman-Lavie, Maayan Tal, Sagiv Shifman, Naftali Tishby, Israel Nelken:
Value-complexity tradeoff explains mouse navigational learning. PLoS Comput. Biol. 16(12) (2020) - [c92]Ron M. Hecht, Ariel Telpaz, Gila Kamhi, Omer Tsimhoni, Aharon Bar-Hillel, Naftali Tishby:
Modeling the Effect of Driver's Eye Gaze Pattern Under Workload: Gaussian Mixture Approach. CogSci 2020 - [i30]Zoe Piran, Ravid Shwartz-Ziv, Naftali Tishby:
The Dual Information Bottleneck. CoRR abs/2006.04641 (2020)
2010 – 2019
- 2019
- [j37]Ron M. Hecht, Aharon Bar-Hillel, Ariel Telpaz, Omer Tsimhoni, Naftali Tishby:
Information Constrained Control Analysis of Eye Gaze Distribution Under Workload. IEEE Trans. Hum. Mach. Syst. 49(6): 474-484 (2019) - [j36]Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier:
Color Naming Reflects Both Perceptual Structure and Communicative Need. Top. Cogn. Sci. 11(1): 207-219 (2019) - [c91]Noga Zaslavsky, Karee Garvin, Charles Kemp, Naftali Tishby, Terry Regier:
Evolution and efficiency in color naming: The case of Nafaanra. CogSci 2019: 68 - [c90]Noga Zaslavsky, Terry Regier, Naftali Tishby, Charles Kemp:
Semantic categories of artifacts and animals reflect efficient coding. CogSci 2019: 1254-1260 - [c89]Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier:
Communicative need and color naming. CogSci 2019: 3613 - [c88]Ron M. Hecht, Ariel Telpaz, Gila Kamhi, Aharon Bar-Hillel, Naftali Tishby:
Information Constrained Control for Visual Detection of Important Areas. ICASSP 2019: 4080-4084 - [i29]Noga Zaslavsky, Terry Regier, Naftali Tishby, Charles Kemp:
Semantic categories of artifacts and animals reflect efficient coding. CoRR abs/1905.04562 (2019) - 2018
- [j35]Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby:
Efficient compression in color naming and its evolution. Proc. Natl. Acad. Sci. USA 115(31): 7937-7942 (2018) - [c87]Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby:
Information-theoretic efficiency and semantic variation: The case of color naming. CogSci 2018 - [c86]Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier:
Color naming reflects both perceptual structure and communicative need. CogSci 2018 - [i28]Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier:
Color naming reflects both perceptual structure and communicative need. CoRR abs/1805.06165 (2018) - [i27]Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby:
Efficient human-like semantic representations via the Information Bottleneck principle. CoRR abs/1808.03353 (2018) - [i26]Amichai Painsky, Meir Feder, Naftali Tishby:
An Information-Theoretic Framework for Non-linear Canonical Correlation Analysis. CoRR abs/1810.13259 (2018) - 2017
- [j34]Amichai Painsky, Naftali Tishby:
Gaussian Lower Bound for the Information Bottleneck Limit. J. Mach. Learn. Res. 18: 213:1-213:29 (2017) - [j33]Siwei Wang, Alexander Borst, Noga Zaslavsky, Naftali Tishby, Idan Segev:
Efficient encoding of motion is mediated by gap junctions in the fly visual system. PLoS Comput. Biol. 13(12) (2017) - [i25]Stas Tiomkin, Daniel Polani, Naftali Tishby:
Control Capacity of Partially Observable Dynamic Systems in Continuous Time. CoRR abs/1701.04984 (2017) - [i24]Michal Moshkovitz, Naftali Tishby:
Mixing Complexity and its Applications to Neural Networks. CoRR abs/1703.00729 (2017) - [i23]Ravid Shwartz-Ziv, Naftali Tishby:
Opening the Black Box of Deep Neural Networks via Information. CoRR abs/1703.00810 (2017) - [i22]Stas Tiomkin, Naftali Tishby:
A Unified Bellman Equation for Causal Information and Value in Markov Decision Processes. CoRR abs/1703.01585 (2017) - [i21]Amichai Painsky, Naftali Tishby:
Gaussian Lower Bound for the Information Bottleneck Limit. CoRR abs/1711.02421 (2017) - [i20]Michal Moshkovitz, Naftali Tishby:
A General Memory-Bounded Learning Algorithm. CoRR abs/1712.03524 (2017) - 2016
- [j32]Jonathan Rubin, Nachum Ulanovsky, Israel Nelken, Naftali Tishby:
The Representation of Prediction Error in Auditory Cortex. PLoS Comput. Biol. 12(8) (2016) - [c85]Roy Fox, Naftali Tishby:
Minimum-information LQG control Part II: Retentive controllers. CDC 2016: 5603-5609 - [c84]Roy Fox, Naftali Tishby:
Minimum-information LQG control part I: Memoryless controllers. CDC 2016: 5610-5616 - [c83]Roy Fox, Ari Pakman, Naftali Tishby:
Taming the Noise in Reinforcement Learning via Soft Updates. UAI 2016 - [i19]Pedro A. Ortega, Naftali Tishby:
Memory controls time perception and intertemporal choices. CoRR abs/1604.05129 (2016) - [i18]Roy Fox, Naftali Tishby:
Minimum-Information LQG Control - Part I: Memoryless Controllers. CoRR abs/1606.01946 (2016) - [i17]Roy Fox, Naftali Tishby:
Minimum-Information LQG Control - Part II: Retentive Controllers. CoRR abs/1606.01947 (2016) - [i16]Roy Fox, Michal Moshkovitz, Naftali Tishby:
Principled Option Learning in Markov Decision Processes. CoRR abs/1609.05524 (2016) - [i15]Nadav Amir, Israel Nelken, Naftali Tishby:
A Simple Model of Attentional Blink. CoRR abs/1611.08913 (2016) - 2015
- [c82]Nadav Amir, Stas Tiomkin, Naftali Tishby:
Past-future Information Bottleneck for linear feedback systems. CDC 2015: 5737-5742 - [c81]Ron M. Hecht, Aharon Bar-Hillel, Stas Tiomkin, Hadar Levi, Omer Tsimhoni, Naftali Tishby:
Cognitive workload and vocabulary sparseness: theory and practice. INTERSPEECH 2015: 3394-3398 - [c80]Naftali Tishby, Noga Zaslavsky:
Deep learning and the information bottleneck principle. ITW 2015: 1-5 - [i14]Naftali Tishby, Noga Zaslavsky:
Deep Learning and the Information Bottleneck Principle. CoRR abs/1503.02406 (2015) - [i13]Pedro A. Ortega, Daniel A. Braun, Justin Dyer, Kee-Eung Kim, Naftali Tishby:
Information-Theoretic Bounded Rationality. CoRR abs/1512.06789 (2015) - [i12]Roy Fox, Ari Pakman, Naftali Tishby:
G-Learning: Taming the Noise in Reinforcement Learning via Soft Updates. CoRR abs/1512.08562 (2015) - [i11]Roy Fox, Naftali Tishby:
Optimal Selective Attention in Reactive Agents. CoRR abs/1512.08575 (2015) - 2014
- [c79]Pedro A. Ortega, Daniel A. Braun, Naftali Tishby:
Monte Carlo methods for exact & efficient solution of the generalized optimality equations. ICRA 2014: 4322-4327 - [c78]Michal Moshkovitz, Naftali Tishby:
Control your information for better predictions. ISIT 2014: 916-920 - 2013
- [j31]Sivan Sabato, Nathan Srebro, Naftali Tishby:
Distribution-dependent sample complexity of large margin learning. J. Mach. Learn. Res. 14(1): 2119-2149 (2013) - [j30]Ron M. Hecht, Elad Noor, Gil Dobry, Yaniv Zigel, Aharon Bar-Hillel, Naftali Tishby:
Effective Model Representation by Information Bottleneck Principle. IEEE Trans. Speech Audio Process. 21(8): 1755-1759 (2013) - [i10]Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby:
Multivariate Information Bottleneck. CoRR abs/1301.2270 (2013) - 2012
- [j29]Sivan Sabato, Naftali Tishby:
Multi-instance learning with any hypothesis class. J. Mach. Learn. Res. 13: 2999-3039 (2012) - [c77]Roy Fox, Naftali Tishby:
Bounded Planning in Passive POMDPs. ICML 2012 - [i9]Sivan Sabato, Nati Srebro, Naftali Tishby:
Characterizing the Sample Complexity of Large-Margin Learning With Second-Order Statistics. CoRR abs/1204.1276 (2012) - [i8]Amir Globerson, Naftali Tishby:
The Minimum Information Principle for Discriminative Learning. CoRR abs/1207.4110 (2012) - [i7]Amir Globerson, Gal Chechik, Naftali Tishby:
Sufficient Dimensionality Reduction with Irrelevant Statistics. CoRR abs/1212.2483 (2012) - 2011
- [j28]Simone Calderara, Uri Heinemann, Andrea Prati, Rita Cucchiara, Naftali Tishby:
Detecting anomalies in people's trajectories using spectral graph analysis. Comput. Vis. Image Underst. 115(8): 1099-1111 (2011) - [c76]Ohad Shamir, Naftali Tishby:
Spectral Clustering on a Budget. AISTATS 2011: 661-669 - [i6]Sivan Sabato, Naftali Tishby:
Multi-Instance Learning with Any Hypothesis Class. CoRR abs/1107.2021 (2011) - 2010
- [j27]Yevgeny Seldin, Naftali Tishby:
PAC-Bayesian Analysis of Co-clustering and Beyond. J. Mach. Learn. Res. 11: 3595-3646 (2010) - [j26]Ohad Shamir, Naftali Tishby:
Stability and model selection in k-means clustering. Mach. Learn. 80(2-3): 213-243 (2010) - [j25]Ohad Shamir, Sivan Sabato, Naftali Tishby:
Learning and generalization with the information bottleneck. Theor. Comput. Sci. 411(29-30): 2696-2711 (2010) - [c75]Sivan Sabato, Nathan Srebro, Naftali Tishby:
Tight Sample Complexity of Large-Margin Learning. NIPS 2010: 2038-2046 - [c74]Sivan Sabato, Nathan Srebro, Naftali Tishby:
Reducing Label Complexity by Learning From Bags. AISTATS 2010: 685-692 - [i5]Sivan Sabato, Nathan Srebro, Naftali Tishby:
Tight Sample Complexity of Large-Margin Learning. CoRR abs/1011.5053 (2010)
2000 – 2009
- 2009
- [j24]Amir Globerson, Eran Stark, Eilon Vaadia, Naftali Tishby:
The minimum information principle and its application to neural code analysis. Proc. Natl. Acad. Sci. USA 106(9): 3490-3495 (2009) - [c73]Sivan Sabato, Naftali Tishby:
Homogeneous Multi-Instance Learning with Arbitrary Dependence. COLT 2009 - [c72]Ron M. Hecht, Omer Hezroni, Amit Manna, Gil Dobry, Yaniv Zigel, Naftali Tishby:
Information bottleneck based age verification. INTERSPEECH 2009: 188-191 - [c71]Ron M. Hecht, Elad Noor, Naftali Tishby:
Speaker recognition by Gaussian information bottleneck. INTERSPEECH 2009: 1567-1570 - [c70]Yevgeny Seldin, Naftali Tishby:
PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering. AISTATS 2009: 472-479 - 2008
- [j23]Eyal Krupka, Naftali Tishby:
Generalization from Observed to Unobserved Features by Clustering. J. Mach. Learn. Res. 9: 339-370 (2008) - [c69]Ohad Shamir, Sivan Sabato, Naftali Tishby:
Learning and Generalization with the Information Bottleneck. ALT 2008: 92-107 - [c68]Ohad Shamir, Naftali Tishby:
Model Selection and Stability in k-means Clustering. COLT 2008: 367-378 - [c67]Yevgeny Seldin, Naftali Tishby:
Multi-classification by categorical features via clustering. ICML 2008: 920-927 - [c66]Naftali Tishby:
Extracting Relevant Information from Samples. ISAIM 2008 - [c65]Ohad Shamir, Naftali Tishby:
On the Reliability of Clustering Stability in the Large Sample Regime. NIPS 2008: 1465-1472 - 2007
- [j22]Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby:
Euclidean Embedding of Co-occurrence Data. J. Mach. Learn. Res. 8: 2265-2295 (2007) - [j21]Hani Neuvirth, Uri Heinemann, David Birnbaum, Naftali Tishby, Gideon Schreiber:
ProMateus - an open research approach to protein-binding sites analysis. Nucleic Acids Res. 35(Web-Server-Issue): 543-548 (2007) - [c64]Peter Harremoës, Naftali Tishby:
The Information Bottleneck Revisited or How to Choose a Good Distortion Measure. ISIT 2007: 566-570 - [c63]Ohad Shamir, Naftali Tishby:
Cluster Stability for Finite Samples. NIPS 2007: 1297-1304 - [c62]Eyal Krupka, Naftali Tishby:
Incorporating Prior Knowledge on Features into Learning. AISTATS 2007: 227-234 - 2006
- [j20]Noam Slonim, Nir Friedman, Naftali Tishby:
Multivariate Information Bottleneck. Neural Comput. 18(8): 1739-1789 (2006) - [c61]Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby:
Embedding Heterogeneous Data Using Statistical Models. AAAI 2006: 1605-1608 - [c60]William Bialek, Robert R. de Ruyter van Steveninck, Naftali Tishby:
Efficient representation as a design principle for neural coding and computation. ISIT 2006: 659-663 - [c59]Yevgeny Seldin, Noam Slonim, Naftali Tishby:
Information Bottleneck for Non Co-Occurrence Data. NIPS 2006: 1241-1248 - [p1]Ran Gilad-Bachrach, Amir Navot, Naftali Tishby:
Large Margin Principles for Feature Selection. Feature Extraction 2006: 585-606 - 2005
- [j19]Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss:
Information Bottleneck for Gaussian Variables. J. Mach. Learn. Res. 6: 165-188 (2005) - [c58]Ron M. Hecht, Naftali Tishby:
Extraction of relevant speech features using the information bottleneck method. INTERSPEECH 2005: 353-356 - [c57]Ran Gilad-Bachrach, Amir Navot, Naftali Tishby:
Query by Committee Made Real. NIPS 2005: 443-450 - [c56]Eyal Krupka, Naftali Tishby:
Generalization in Clustering with Unobserved Features. NIPS 2005: 683-690 - [c55]Amir Navot, Lavi Shpigelman, Naftali Tishby, Eilon Vaadia:
Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity. NIPS 2005: 996-1002 - [c54]Amir Navot, Ran Gilad-Bachrach, Yiftah Navot, Naftali Tishby:
Is Feature Selection Still Necessary? SLSFS 2005: 127-138 - 2004
- [j18]Gill Bejerano, Nir Friedman, Naftali Tishby:
Efficient Exact p-Value Computation for Small Sample, Sparse, and Surprising Categorical Data. J. Comput. Biol. 11(5): 867-886 (2004) - [j17]Rivka Adar, Yaakov Benenson, Gregory Linshiz, Amit Rosner, Naftali Tishby, Ehud Shapiro:
Stochastic computing with biomolecular automata. Proc. Natl. Acad. Sci. USA 101(27): 9960-9965 (2004) - [c53]Ran Gilad-Bachrach, Amir Navot, Naftali Tishby:
Bayes and Tukey Meet at the Center Point. COLT 2004: 549-563 - [c52]Ran Gilad-Bachrach, Amir Navot, Naftali Tishby:
Margin based feature selection - theory and algorithms. ICML 2004 - [c51]Amir Globerson, Gal Chechik, Fernando C. N. Pereira, Naftali Tishby:
Euclidean Embedding of Co-Occurrence Data. NIPS 2004: 497-504 - [c50]Amir Globerson, Naftali Tishby:
The Minimum Information Principle for Discriminative Learning. UAI 2004: 193-200 - 2003
- [j16]Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby:
Discriminative Feature Selection via Multiclass Variable Memory Markov Model. EURASIP J. Adv. Signal Process. 2003(2): 93-102 (2003) - [j15]Ron Bekkerman, Ran El-Yaniv, Naftali Tishby, Yoad Winter:
Distributional Word Clusters vs. Words for Text Categorization. J. Mach. Learn. Res. 3: 1183-1208 (2003) - [j14]Amir Globerson, Naftali Tishby:
Sufficient Dimensionality Reduction. J. Mach. Learn. Res. 3: 1307-1331 (2003) - [c49]Naftali Tishby:
Efficient Data Representations That Preserve Information. ALT 2003: 16 - [c48]Ran Gilad-Bachrach, Amir Navot, Naftali Tishby:
An Information Theoretic Tradeoff between Complexity and Accuracy. COLT 2003: 595-609 - [c47]Naftali Tishby:
Efficient Data Representations That Preserve Information. Discovery Science 2003: 45 - [c46]Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss:
Information Bottleneck for Gaussian Variables. NIPS 2003: 1213-1220 - [c45]Amir Globerson, Gal Chechik, Naftali Tishby:
Sufficient Dimensionality Reduction with Irrelevance Statistics. UAI 2003: 281-288 - 2002
- [j13]Shlomo Dubnov, Ran El-Yaniv, Yoram Gdalyahu, Elad Schneidman, Naftali Tishby, Golan Yona:
A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles. Mach. Learn. 47(1): 35-61 (2002) - [c44]Amir Globerson, Naftali Tishby:
Most Informative Dimension Reduction. AAAI/IAAI 2002: 1024- - [c43]Amir Globerson, Naftali Tishby:
Sufficient Dimensionality Reduction - A novel Analysis Method. ICML 2002: 203-210 - [c42]Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby:
Discriminative Feature Selection via Multiclass Variable Memory Markov Model. ICML 2002: 578-585 - [c41]Koby Crammer, Ran Gilad-Bachrach, Amir Navot, Naftali Tishby:
Margin Analysis of the LVQ Algorithm. NIPS 2002: 462-469 - [c40]Gal Chechik, Naftali Tishby:
Extracting Relevant Structures with Side Information. NIPS 2002: 857-864 - [c39]Noam Slonim, Nir Friedman, Naftali Tishby:
Unsupervised document classification using sequential information maximization. SIGIR 2002: 129-136 - 2001
- [j12]Gill Bejerano, Yevgeny Seldin, Hanah Margalit, Naftali Tishby:
Markovian domain fingerprinting: statistical segmentation of protein sequences. Bioinform. 17(10): 927-934 (2001) - [j11]William Bialek, Ilya Nemenman, Naftali Tishby:
Predictability, Complexity, and Learning. Neural Comput. 13(11): 2409-2463 (2001) - [j10]Itay Gat, Naftali Tishby:
Spotting Neural Spike Patterns Using an Adversary Background Model. Neural Comput. 13(12): 2681-2708 (2001) - [c38]Yevgeny Seldin, Gill Bejerano, Naftali Tishby:
Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources. ICML 2001: 513-520 - [c37]Gal Chechik, Amir Globerson, Michael J. Anderson, Eric D. Young, Israel Nelken, Naftali Tishby:
Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway. NIPS 2001: 173-180 - [c36]Noam Slonim, Nir Friedman, Naftali Tishby:
Agglomerative Multivariate Information Bottleneck. NIPS 2001: 929-936 - [c35]Ron Bekkerman, Ran El-Yaniv, Yoad Winter, Naftali Tishby:
On Feature Distributional Clustering for Text Categorization. SIGIR 2001: 146-153 - [c34]Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby:
Multivariate Information Bottleneck. UAI 2001: 152-161 - 2000
- [c33]Shahar Mendelson, Naftali Tishby:
Statistical Sufficiency for Classes in Empirical L2 Spaces. COLT 2000: 81-89 - [c32]Gal Chechik, Naftali Tishby:
Temporally Dependent Plasticity: An Information Theoretic Account. NIPS 2000: 110-116 - [c31]Elad Schneidman, Naama Brenner, Naftali Tishby, Robert R. de Ruyter van Steveninck, William Bialek:
Universality and Individuality in a Neural Code. NIPS 2000: 159-165 - [c30]Naftali Tishby, Noam Slonim:
Data Clustering by Markovian Relaxation and the Information Bottleneck Method. NIPS 2000: 640-646 - [c29]Noam Slonim, Naftali Tishby:
Document clustering using word clusters via the information bottleneck method. SIGIR 2000: 208-215 - [i4]Naftali Tishby, Fernando C. N. Pereira, William Bialek:
The information bottleneck method. CoRR physics/0004057 (2000) - [i3]William Bialek, Ilya Nemenman, Naftali Tishby:
Predictability, complexity and learning. CoRR physics/0007070 (2000)
1990 – 1999
- 1999
- [c28]Elad Schneidman, Idan Segev, Naftali Tishby:
Information Capacity and Robustness of Stochastic Neuron Models. NIPS 1999: 178-184 - [c27]Noam Slonim, Naftali Tishby:
Agglomerative Information Bottleneck. NIPS 1999: 617-623 - 1998
- [j9]Dana Ron, Yoram Singer, Naftali Tishby:
On the Learnability and Usage of Acyclic Probabilistic Finite Automata. J. Comput. Syst. Sci. 56(2): 133-152 (1998) - [j8]Shai Fine, Yoram Singer, Naftali Tishby:
The Hierarchical Hidden Markov Model: Analysis and Applications. Mach. Learn. 32(1): 41-62 (1998) - [c26]Golan Yona, Nathan Linial, Naftali Tishby, Michal Linial:
A Map of the Protein Space: An Automatic Hierarchical Classification of all Protein Sequences. ISMB 1998: 212-221 - [c25]Itay Gat, Naftali Tishby:
Synergy and Redundancy among Brain Cells of Behaving Monkeys. NIPS 1998: 111-117 - [c24]Dmitry Rinberg, Hanan Davidowitz, Naftali Tishby:
Multi-Electrode Spike Sorting by Clustering Transfer Functions. NIPS 1998: 146-152 - [c23]Catriel Beeri, Gershon Elber, Tova Milo, Yehoshua Sagiv, Oded Shmueli, Naftali Tishby, Yakov A. Kogan, David Konopnicki, Pini Mogilevski, Noam Slonim:
WebSuite: A Tool Suite for Harnessing Web Data. WebDB 1998: 152-171 - 1997
- [j7]Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby:
Selective Sampling Using the Query by Committee Algorithm. Mach. Learn. 28(2-3): 133-168 (1997) - [c22]Shlomo Dubnov, Naftali Tishby:
Analysis of sound textures in musical and machine sounds by means of higher order statistical features. ICASSP 1997: 3845-3848 - [c21]Ran El-Yaniv, Shai Fine, Naftali Tishby:
Agnostic Classification of Markovian Sequences. NIPS 1997: 465-471 - 1996
- [j6]Dana Ron, Yoram Singer, Naftali Tishby:
The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length. Mach. Learn. 25(2-3): 117-149 (1996) - [j5]David Haussler, Michael J. Kearns, H. Sebastian Seung, Naftali Tishby:
Rigorous Learning Curve Bounds from Statistical Mechanics. Mach. Learn. 25(2-3): 195-236 (1996) - [c20]Shlomo Dubnov, Naftali Tishby, Dalia Cohen:
Influence of Frequency Modulating Jitter on Higher Order Moments of Sound Residual with Applications to Synthesis and Classification. ICMC 1996 - [i2]Fernando C. N. Pereira, Yoram Singer, Naftali Tishby:
Beyond Word N-Grams. CoRR cmp-lg/9607016 (1996) - 1995
- [c19]Fernando Pereira, Yoram Singer, Naftali Tishby:
Beyond Word N-Grams. VLC@ACL 1995 - [c18]Dana Ron, Yoram Singer, Naftali Tishby:
On the Learnability and Usage of Acyclic Probabilistic Finite Automata. COLT 1995: 31-40 - [c17]Shlomo Dubnov, Naftali Tishby:
Clustering Musical Sounds Using Polyspectral Distance Measures. ICMC 1995 - 1994
- [j4]Yoram Singer, Naftali Tishby:
Dynamical encoding of cursive handwriting. Biol. Cybern. 71(3): 227-237 (1994) - [j3]Naftali Tishby, Allen L. Gorin:
Algebraic learning of statistical associations for language acquisition. Comput. Speech Lang. 8(1): 51-78 (1994) - [c16]Dana Ron, Yoram Singer, Naftali Tishby:
Learning Probabilistic Automata with Variable Memory Length. COLT 1994: 35-46 - [c15]David Haussler, H. Sebastian Seung, Michael J. Kearns, Naftali Tishby:
Rigorous Learning Curve Bounds from Statistical Mechanics. COLT 1994: 76-87 - [c14]Daphna Weinshall, Michael Werman, Naftali Tishby:
Stability and Likelihood of Views of Three Dimensional Objects. ECCV (1) 1994: 24-35 - [c13]Shlomo Dubnov, Naftali Tishby:
Acoustic spectral estimation using higher order statistics. ICPR (3) 1994: 1-5 - [c12]Daphna Weinshall, Michael Werman, Naftali Tishby:
Stability and Likelihood of Views of Three Dimensional Objects. Theoretical Foundations of Computer Vision 1994: 237-256 - [i1]Fernando C. N. Pereira, Naftali Tishby, Lillian Lee:
Distributional Clustering of English Words. CoRR abs/cmp-lg/9408011 (1994) - 1993
- [c11]Fernando C. N. Pereira, Naftali Tishby, Lillian Lee:
Distributional Clustering of English Words. ACL 1993: 183-190 - [c10]Yoram Singer, Naftali Tishby:
Dynamical encoding of cursive handwriting. CVPR 1993: 341-346 - [c9]Dana Ron, Yoram Singer, Naftali Tishby:
The Power of Amnesia. NIPS 1993: 176-183 - [c8]Scott Kirkpatrick, Géza Györgyi, Naftali Tishby, Lidror Troyansky:
The Statistical Mechanics of k-Satisfaction. NIPS 1993: 439-446 - [c7]Yoram Singer, Naftali Tishby:
Decoding Cursive Scripts. NIPS 1993: 833-840 - 1992
- [c6]Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby:
Information, Prediction, and Query by Committee. NIPS 1992: 483-490 - [c5]Itay Gat, Naftali Tishby:
Statistical Modeling of Cell Assemblies Activities in Associative Cortex of Behaving Monkeys. NIPS 1992: 945-952 - 1991
- [c4]H. Sebastian Seung, Haim Sompolinsky, Naftali Tishby:
Learning Curves in Large Neural Networks. COLT 1991: 112-127 - 1990
- [j2]Esther Levin, Naftali Tishby, Sara A. Solla:
A statistical approach to learning and generalization in layered neural networks. Proc. IEEE 78(10): 1568-1574 (1990) - [c3]Naftali Tishby:
A dynamical systems approach to speech processing. ICASSP 1990: 365-368
1980 – 1989
- 1989
- [c2]Esther Levin, Naftali Tishby, Sara A. Solla:
A Statistical Approach to Learning and Generalization in Layered Neural Networks. COLT 1989: 245-260 - 1988
- [j1]Naftali Tishby:
Nonlinear dynamical modeling of speech using neural networks. Neural Networks 1(Supplement-1): 279 (1988) - [c1]Naftali Tishby:
Information theoretic factorization of speaker and language in hidden Markov models, with application to speaker recognition. ICASSP 1988: 87-90
Coauthor Index
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