Information theoretic factorization of speaker and language in hidden Markov models, with application to speaker recognition. - Naftali Tishby (ICASSP, 1988)

Nonlinear dynamical modeling of speech using neural networks. - Naftali Tishby (Neural Networks, 1988)

A dynamical systems approach to speech processing. - Naftali Tishby (ICASSP, 1990)

A statistical approach to learning and generalization in layered neural networks. - Esther Levin; Naftali Tishby; Sara A. Solla (Proc. IEEE, 1990)

Learning Curves in Large Neural Networks. - H. Sebastian Seung; Haim Sompolinsky; Naftali Tishby (COLT, 1991)

Information, Prediction, and Query by Committee. - Yoav Freund; H. Sebastian Seung; Eli Shamir 001; Naftali Tishby (NIPS, 1992)

Statistical Modeling of Cell Assemblies Activities in Associative Cortex of Behaving Monkeys. - Itay Gat; Naftali Tishby (NIPS, 1992)

Distributional Clustering of English Words. - Fernando C. N. Pereira; Naftali Tishby; Lillian Lee (ACL, 1993)

The Statistical Mechanics of k-Satisfaction. - Scott Kirkpatrick; Géza Györgyi; Naftali Tishby; Lidror Troyansky (NIPS, 1993)

The Power of Amnesia. - Dana Ron; Yoram Singer; Naftali Tishby (NIPS, 1993)

Decoding Cursive Scripts. - Yoram Singer; Naftali Tishby (NIPS, 1993)

Learning Probabilistic Automata with Variable Memory Length. - Dana Ron; Yoram Singer; Naftali Tishby (COLT, 1994)

Stability and Likelihood of Views of Three Dimensional Objects. - Daphna Weinshall; Michael Werman; Naftali Tishby (ECCV (1), 1994)

Acoustic spectral estimation using higher order statistics. - Shlomo Dubnov; Naftali Tishby (ICPR (3), 1994)

Dynamical encoding of cursive handwriting. - Yoram Singer; Naftali Tishby (Biol. Cybern., 1994)

Algebraic learning of statistical associations for language acquisition. - Naftali Tishby; Allen L. Gorin (Comput. Speech Lang., 1994)

Beyond Word N-Grams. - Fernando Pereira 003; Yoram Singer; Naftali Tishby (VLC@ACL, 1995)

Clustering Musical Sounds Using Polyspectral Distance Measures. - Shlomo Dubnov; Naftali Tishby (ICMC, 1995)

Influence of Frequency Modulating Jitter on Higher Order Moments of Sound Residual with Applications to Synthesis and Classification. - Shlomo Dubnov; Naftali Tishby; Dalia Cohen (ICMC, 1996)

Rigorous Learning Curve Bounds from Statistical Mechanics. - David Haussler; Michael J. Kearns; H. Sebastian Seung; Naftali Tishby (Mach. Learn., 1996)

The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length. - Dana Ron; Yoram Singer; Naftali Tishby (Mach. Learn., 1996)

Analysis of sound textures in musical and machine sounds by means of higher order statistical features. - Shlomo Dubnov; Naftali Tishby (ICASSP, 1997)

Agnostic Classification of Markovian Sequences. - Ran El-Yaniv; Shai Fine; Naftali Tishby (NIPS, 1997)

Selective Sampling Using the Query by Committee Algorithm. - Yoav Freund; H. Sebastian Seung; Eli Shamir 001; Naftali Tishby (Mach. Learn., 1997)

A Map of the Protein Space: An Automatic Hierarchical Classification of all Protein Sequences. - Golan Yona; Nathan Linial; Naftali Tishby; Michal Linial (ISMB, 1998)

Synergy and Redundancy among Brain Cells of Behaving Monkeys. - Itay Gat; Naftali Tishby (NIPS, 1998)

Multi-Electrode Spike Sorting by Clustering Transfer Functions. - Dmitry Rinberg; Hanan Davidowitz; Naftali Tishby (NIPS, 1998)

WebSuite: A Tool Suite for Harnessing Web Data. - Catriel Beeri; Gershon Elber; Tova Milo; Yehoshua Sagiv; Oded Shmueli; Naftali Tishby; Yakov A. Kogan; David Konopnicki; Pini Mogilevski; Noam Slonim (WebDB, 1998)

On the Learnability and Usage of Acyclic Probabilistic Finite Automata. - Dana Ron; Yoram Singer; Naftali Tishby (J. Comput. Syst. Sci., 1998)

The Hierarchical Hidden Markov Model: Analysis and Applications. - Shai Fine; Yoram Singer; Naftali Tishby (Mach. Learn., 1998)

Information Capacity and Robustness of Stochastic Neuron Models. - Elad Schneidman; Idan Segev; Naftali Tishby (NIPS, 1999)

Agglomerative Information Bottleneck. - Noam Slonim; Naftali Tishby (NIPS, 1999)

Statistical Sufficiency for Classes in Empirical L2 Spaces. - Shahar Mendelson; Naftali Tishby (COLT, 2000)

Temporally Dependent Plasticity: An Information Theoretic Account. - Gal Chechik; Naftali Tishby (NIPS, 2000)

Universality and Individuality in a Neural Code. - Elad Schneidman; Naama Brenner; Naftali Tishby; Robert R. de Ruyter van Steveninck; William Bialek (NIPS, 2000)

Data Clustering by Markovian Relaxation and the Information Bottleneck Method. - Naftali Tishby; Noam Slonim (NIPS, 2000)

Document clustering using word clusters via the information bottleneck method. - Noam Slonim; Naftali Tishby (SIGIR, 2000)

The information bottleneck method - Naftali Tishby; Fernando C. N. Pereira; William Bialek (CoRR, 2000)

Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources. - Yevgeny Seldin; Gill Bejerano; Naftali Tishby (ICML, 2001)

Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway. - Gal Chechik; Amir Globerson; Michael J. Anderson; Eric D. Young; Israel Nelken; Naftali Tishby (NIPS, 2001)

Agglomerative Multivariate Information Bottleneck. - Noam Slonim; Nir Friedman; Naftali Tishby (NIPS, 2001)

On Feature Distributional Clustering for Text Categorization. - Ron Bekkerman; Ran El-Yaniv; Yoad Winter; Naftali Tishby (SIGIR, 2001)

Multivariate Information Bottleneck. - Nir Friedman; Ori Mosenzon; Noam Slonim; Naftali Tishby (UAI, 2001)

Markovian domain fingerprinting: statistical segmentation of protein sequences. - Gill Bejerano; Yevgeny Seldin; Hanah Margalit; Naftali Tishby (Bioinform., 2001)

Predictability, Complexity, and Learning. - William Bialek; Ilya Nemenman; Naftali Tishby (Neural Comput., 2001)

Spotting Neural Spike Patterns Using an Adversary Background Model. - Itay Gat; Naftali Tishby (Neural Comput., 2001)

Most Informative Dimension Reduction. - Amir Globerson; Naftali Tishby (AAAI/IAAI, 2002)

Sufficient Dimensionality Reduction - A novel Analysis Method. - Amir Globerson; Naftali Tishby (ICML, 2002)

Extracting Relevant Structures with Side Information. - Gal Chechik; Naftali Tishby (NIPS, 2002)

Margin Analysis of the LVQ Algorithm. - Koby Crammer; Ran Gilad-Bachrach; Amir Navot; Naftali Tishby (NIPS, 2002)

Unsupervised document classification using sequential information maximization. - Noam Slonim; Nir Friedman; Naftali Tishby (SIGIR, 2002)

A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles. - Shlomo Dubnov; Ran El-Yaniv; Yoram Gdalyahu; Elad Schneidman; Naftali Tishby; Golan Yona (Mach. Learn., 2002)

Efficient Data Representations That Preserve Information. - Naftali Tishby (ALT, 2003)

An Information Theoretic Tradeoff between Complexity and Accuracy. - Ran Gilad-Bachrach; Amir Navot; Naftali Tishby (COLT, 2003)

Sufficient Dimensionality Reduction with Irrelevance Statistics. - Amir Globerson; Gal Chechik; Naftali Tishby (UAI, 2003)

Discriminative Feature Selection via Multiclass Variable Memory Markov Model. - Noam Slonim; Gill Bejerano; Shai Fine; Naftali Tishby (EURASIP J. Adv. Signal Process., 2003)

Distributional Word Clusters vs. Words for Text Categorization. - Ron Bekkerman; Ran El-Yaniv; Naftali Tishby; Yoad Winter (J. Mach. Learn. Res., 2003)

Sufficient Dimensionality Reduction. - Amir Globerson; Naftali Tishby (J. Mach. Learn. Res., 2003)

Bayes and Tukey Meet at the Center Point. - Ran Gilad-Bachrach; Amir Navot; Naftali Tishby (COLT, 2004)

Margin based feature selection - theory and algorithms. - Ran Gilad-Bachrach; Amir Navot; Naftali Tishby (ICML, 2004)

The Minimum Information Principle for Discriminative Learning. - Amir Globerson; Naftali Tishby (UAI, 2004)

Efficient Exact p-Value Computation for Small Sample, Sparse, and Surprising Categorical Data. - Gill Bejerano; Nir Friedman; Naftali Tishby (J. Comput. Biol., 2004)

Stochastic computing with biomolecular automata. - Rivka Adar; Yaakov Benenson; Gregory Linshiz; Amit Rosner; Naftali Tishby; Ehud Shapiro (Proc. Natl. Acad. Sci. USA, 2004)

Extraction of relevant speech features using the information bottleneck method. - Ron M. Hecht; Naftali Tishby (INTERSPEECH, 2005)

Query by Committee Made Real. - Ran Gilad-Bachrach; Amir Navot; Naftali Tishby (NIPS, 2005)

Generalization in Clustering with Unobserved Features. - Eyal Krupka; Naftali Tishby (NIPS, 2005)

Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity. - Amir Navot; Lavi Shpigelman; Naftali Tishby; Eilon Vaadia (NIPS, 2005)

Is Feature Selection Still Necessary? - Amir Navot; Ran Gilad-Bachrach; Yiftah Navot; Naftali Tishby (SLSFS, 2005)

Information Bottleneck for Gaussian Variables. - Gal Chechik; Amir Globerson; Naftali Tishby; Yair Weiss (J. Mach. Learn. Res., 2005)

Large Margin Principles for Feature Selection. - Ran Gilad-Bachrach; Amir Navot; Naftali Tishby (Feature Extraction, 2006)

Embedding Heterogeneous Data Using Statistical Models. - Amir Globerson; Gal Chechik; Fernando Pereira 003; Naftali Tishby (AAAI, 2006)

Efficient representation as a design principle for neural coding and computation. - William Bialek; Robert R. de Ruyter van Steveninck; Naftali Tishby (ISIT, 2006)

Information Bottleneck for Non Co-Occurrence Data. - Yevgeny Seldin; Noam Slonim; Naftali Tishby (NIPS, 2006)

Multivariate Information Bottleneck. - Noam Slonim; Nir Friedman; Naftali Tishby (Neural Comput., 2006)

The Information Bottleneck Revisited or How to Choose a Good Distortion Measure. - Peter Harremoës; Naftali Tishby (ISIT, 2007)

Cluster Stability for Finite Samples. - Ohad Shamir; Naftali Tishby (NIPS, 2007)

Euclidean Embedding of Co-occurrence Data. - Amir Globerson; Gal Chechik; Fernando Pereira 003; Naftali Tishby (J. Mach. Learn. Res., 2007)

Incorporating Prior Knowledge on Features into Learning. - Eyal Krupka; Naftali Tishby (AISTATS, 2007)

ProMateus - an open research approach to protein-binding sites analysis. - Hani Neuvirth; Uri Heinemann; David Birnbaum; Naftali Tishby; Gideon Schreiber (Nucleic Acids Res., 2007)

Model Selection and Stability in k-means Clustering. - Ohad Shamir; Naftali Tishby (COLT, 2008)

Multi-classification by categorical features via clustering. - Yevgeny Seldin; Naftali Tishby (ICML, 2008)

Extracting Relevant Information from Samples. - Naftali Tishby (ISAIM, 2008)

On the Reliability of Clustering Stability in the Large Sample Regime. - Ohad Shamir; Naftali Tishby (NIPS, 2008)

Generalization from Observed to Unobserved Features by Clustering. - Eyal Krupka; Naftali Tishby (J. Mach. Learn. Res., 2008)

Homogeneous Multi-Instance Learning with Arbitrary Dependence. - Sivan Sabato; Naftali Tishby (COLT, 2009)

Information bottleneck based age verification. - Ron M. Hecht; Omer Hezroni; Amit Manna; Gil Dobry; Yaniv Zigel; Naftali Tishby (INTERSPEECH, 2009)

Speaker recognition by Gaussian information bottleneck. - Ron M. Hecht; Elad Noor; Naftali Tishby (INTERSPEECH, 2009)

PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering. - Yevgeny Seldin; Naftali Tishby (AISTATS, 2009)

The minimum information principle and its application to neural code analysis. - Amir Globerson; Eran Stark; Eilon Vaadia; Naftali Tishby (Proc. Natl. Acad. Sci. USA, 2009)

Tight Sample Complexity of Large-Margin Learning. - Sivan Sabato; Nathan Srebro; Naftali Tishby (NIPS, 2010)

Reducing Label Complexity by Learning From Bags. - Sivan Sabato; Nathan Srebro; Naftali Tishby (AISTATS, 2010)

PAC-Bayesian Analysis of Co-clustering and Beyond. - Yevgeny Seldin; Naftali Tishby (J. Mach. Learn. Res., 2010)

Stability and model selection in k-means clustering. - Ohad Shamir; Naftali Tishby (Mach. Learn., 2010)

Learning and generalization with the information bottleneck. - Ohad Shamir; Sivan Sabato; Naftali Tishby (Theor. Comput. Sci., 2010)

Detecting anomalies in people's trajectories using spectral graph analysis. - Simone Calderara; Uri Heinemann; Andrea Prati 001; Rita Cucchiara; Naftali Tishby (Comput. Vis. Image Underst., 2011)

Spectral Clustering on a Budget. - Ohad Shamir; Naftali Tishby (AISTATS, 2011)

Bounded Planning in Passive POMDPs. - Roy Fox; Naftali Tishby (ICML, 2012)

Characterizing the Sample Complexity of Large-Margin Learning With Second-Order Statistics - Sivan Sabato; Nati Srebro; Naftali Tishby (CoRR, 2012)

Sufficient Dimensionality Reduction with Irrelevant Statistics - Amir Globerson; Gal Chechik; Naftali Tishby (CoRR, 2012)

Multi-instance learning with any hypothesis class. - Sivan Sabato; Naftali Tishby (J. Mach. Learn. Res., 2012)

Distribution-dependent sample complexity of large margin learning. - Sivan Sabato; Nathan Srebro; Naftali Tishby (J. Mach. Learn. Res., 2013)

Effective Model Representation by Information Bottleneck Principle. - Ron M. Hecht; Elad Noor; Gil Dobry; Yaniv Zigel; Aharon Bar-Hillel; Naftali Tishby (IEEE Trans. Speech Audio Process., 2013)

Monte Carlo methods for exact & efficient solution of the generalized optimality equations. - Pedro A. Ortega; Daniel A. Braun 001; Naftali Tishby (ICRA, 2014)

Control your information for better predictions. - Michal Moshkovitz; Naftali Tishby (ISIT, 2014)

Past-future Information Bottleneck for linear feedback systems. - Nadav Amir; Stas Tiomkin; Naftali Tishby (CDC, 2015)

Cognitive workload and vocabulary sparseness: theory and practice. - Ron M. Hecht; Aharon Bar-Hillel; Stas Tiomkin; Hadar Levi; Omer Tsimhoni; Naftali Tishby (INTERSPEECH, 2015)

Deep learning and the information bottleneck principle. - Naftali Tishby; Noga Zaslavsky (ITW, 2015)

G-Learning: Taming the Noise in Reinforcement Learning via Soft Updates. - Roy Fox; Ari Pakman; Naftali Tishby (CoRR, 2015)

Optimal Selective Attention in Reactive Agents. - Roy Fox; Naftali Tishby (CoRR, 2015)

Information-Theoretic Bounded Rationality. - Pedro A. Ortega; Daniel A. Braun 001; Justin Dyer; Kee-Eung Kim; Naftali Tishby (CoRR, 2015)

Minimum-information LQG control Part II: Retentive controllers. - Roy Fox; Naftali Tishby (CDC, 2016)

Minimum-information LQG control part I: Memoryless controllers. - Roy Fox; Naftali Tishby (CDC, 2016)

Taming the Noise in Reinforcement Learning via Soft Updates. - Roy Fox; Ari Pakman; Naftali Tishby (UAI, 2016)

A Simple Model of Attentional Blink. - Nadav Amir; Israel Nelken; Naftali Tishby (CoRR, 2016)

Principled Option Learning in Markov Decision Processes. - Roy Fox; Michal Moshkovitz; Naftali Tishby (CoRR, 2016)

Memory controls time perception and intertemporal choices. - Pedro A. Ortega; Naftali Tishby (CoRR, 2016)

The Representation of Prediction Error in Auditory Cortex. - Jonathan Rubin; Nachum Ulanovsky; Israel Nelken; Naftali Tishby (PLoS Comput. Biol., 2016)

Mixing Complexity and its Applications to Neural Networks. - Michal Moshkovitz; Naftali Tishby (CoRR, 2017)

Opening the Black Box of Deep Neural Networks via Information. - Ravid Shwartz-Ziv; Naftali Tishby (CoRR, 2017)

Control Capacity of Partially Observable Dynamic Systems in Continuous Time. - Stas Tiomkin; Daniel Polani; Naftali Tishby (CoRR, 2017)

A Unified Bellman Equation for Causal Information and Value in Markov Decision Processes. - Stas Tiomkin; Naftali Tishby (CoRR, 2017)

A General Memory-Bounded Learning Algorithm. - Michal Moshkovitz; Naftali Tishby (CoRR, 2017)

Gaussian Lower Bound for the Information Bottleneck Limit. - Amichai Painsky; Naftali Tishby (J. Mach. Learn. Res., 2017)

Efficient encoding of motion is mediated by gap junctions in the fly visual system. - Siwei Wang 003; Alexander Borst; Noga Zaslavsky; Naftali Tishby; Idan Segev (PLoS Comput. Biol., 2017)

Information-theoretic efficiency and semantic variation: The case of color naming. - Noga Zaslavsky; Charles Kemp; Terry Regier; Naftali Tishby (CogSci, 2018)

Efficient human-like semantic representations via the Information Bottleneck principle. - Noga Zaslavsky; Charles Kemp; Terry Regier; Naftali Tishby (CoRR, 2018)

An Information-Theoretic Framework for Non-linear Canonical Correlation Analysis. - Amichai Painsky; Meir Feder; Naftali Tishby (CoRR, 2018)

Efficient compression in color naming and its evolution. - Noga Zaslavsky; Charles Kemp; Terry Regier; Naftali Tishby (Proc. Natl. Acad. Sci. USA, 2018)

Evolution and efficiency in color naming: The case of Nafaanra. - Noga Zaslavsky; Karee Garvin; Charles Kemp; Naftali Tishby; Terry Regier (CogSci, 2019)

Communicative need and color naming. - Noga Zaslavsky; Charles Kemp; Naftali Tishby; Terry Regier (CogSci, 2019)

Semantic categories of artifacts and animals reflect efficient coding. - Noga Zaslavsky; Terry Regier; Naftali Tishby; Charles Kemp (CogSci, 2019)

Information Constrained Control for Visual Detection of Important Areas. - Ron M. Hecht; Ariel Telpaz; Gila Kamhi; Aharon Bar-Hillel; Naftali Tishby (ICASSP, 2019)

Information Constrained Control Analysis of Eye Gaze Distribution Under Workload. - Ron M. Hecht; Aharon Bar-Hillel; Ariel Telpaz; Omer Tsimhoni; Naftali Tishby (IEEE Trans. Hum. Mach. Syst., 2019)

Color Naming Reflects Both Perceptual Structure and Communicative Need. - Noga Zaslavsky; Charles Kemp; Naftali Tishby; Terry Regier (Top. Cogn. Sci., 2019)

Modeling the Effect of Driver's Eye Gaze Pattern Under Workload: Gaussian Mixture Approach. - Ron M. Hecht; Ariel Telpaz; Gila Kamhi; Omer Tsimhoni; Aharon Bar-Hillel; Naftali Tishby (CogSci, 2020)

The Dual Information Bottleneck. - Zoe Piran; Ravid Shwartz-Ziv; Naftali Tishby (CoRR, 2020)

Nonlinear Canonical Correlation Analysis: A Compressed Representation Approach. - Amichai Painsky; Meir Feder; Naftali Tishby (Entropy, 2020)

Value-complexity tradeoff explains mouse navigational learning. - Nadav Amir; Reut Suliman-Lavie; Maayan Tal; Sagiv Shifman; Naftali Tishby; Israel Nelken (PLoS Comput. Biol., 2020)

Surprise response as a probe for compressed memory states. - Hadar Levi-Aharoni; Oren Shriki; Naftali Tishby (PLoS Comput. Biol., 2020)

Critical Slowing Down Near Topological Transitions in Rate-Distortion Problems. - Shlomi Agmon; Etam Benger; Or Ordentlich; Naftali Tishby (ISIT, 2021)

Detecting chaos in lineage-trees: A deep learning approach. - Hagai Rappeport; Irit Levin Reisman; Naftali Tishby; Nathalie Q. Balaban (CoRR, 2021)

A simple model of the attentional blink and its modulation by mental training. - Nadav Amir; Naftali Tishby; Israel Nelken (PLoS Comput. Biol., 2022)

Intrinsic Motivation in Dynamical Control Systems. - Stas Tiomkin; Ilya Nemenman; Daniel Polani; Naftali Tishby (CoRR, 2023)