Naftali Tishby

168 papers A* 23A 13B 14Misc 5Journal 74Unranked 38

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Intrinsic Motivation in Dynamical Control Systems. CoRR Stas Tiomkin, Ilya Nemenman, Daniel Polani, Naftali Tishby
2022	J	`jnl`	A simple model of the attentional blink and its modulation by mental training. PLoS Comput. Biol. Nadav Amir, Naftali Tishby, Israel Nelken
2021	B	`conf`	Critical Slowing Down Near Topological Transitions in Rate-Distortion Problems. ISIT Shlomi Agmon, Etam Benger, Or Ordentlich, Naftali Tishby
2021	J	`jnl`	Critical Slowing Down Near Topological Transitions in Rate-Distortion Problems. CoRR Shlomi Agmon, Etam Benger, Or Ordentlich, Naftali Tishby
2021	J	`jnl`	Detecting chaos in lineage-trees: A deep learning approach. CoRR Hagai Rappeport, Irit Levin Reisman, Naftali Tishby, Nathalie Q. Balaban
2020	B	`conf`	Modeling the Effect of Driver's Eye Gaze Pattern Under Workload: Gaussian Mixture Approach. CogSci Ron M. Hecht, Ariel Telpaz, Gila Kamhi, Omer Tsimhoni, Aharon Bar-Hillel, Naftali Tishby
2020	J	`jnl`	Nonlinear Canonical Correlation Analysis: A Compressed Representation Approach. Entropy Amichai Painsky, Meir Feder, Naftali Tishby
2020	J	`jnl`	Surprise response as a probe for compressed memory states. PLoS Comput. Biol. Hadar Levi-Aharoni, Oren Shriki, Naftali Tishby
2020	J	`jnl`	The Dual Information Bottleneck. CoRR Zoe Piran, Ravid Shwartz-Ziv, Naftali Tishby
2020	J	`jnl`	Value-complexity tradeoff explains mouse navigational learning. PLoS Comput. Biol. Nadav Amir, Reut Suliman-Lavie, Maayan Tal, Sagiv Shifman, Naftali Tishby, Israel Nelken
2019	J	`jnl`	Color Naming Reflects Both Perceptual Structure and Communicative Need. Top. Cogn. Sci. Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier
2019	B	`conf`	Communicative need and color naming. CogSci Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier
2019	B	`conf`	Evolution and efficiency in color naming: The case of Nafaanra. CogSci Noga Zaslavsky, Karee Garvin, Charles Kemp, Naftali Tishby, Terry Regier
2019	J	`jnl`	Information Constrained Control Analysis of Eye Gaze Distribution Under Workload. IEEE Trans. Hum. Mach. Syst. Ron M. Hecht, Aharon Bar-Hillel, Ariel Telpaz, Omer Tsimhoni, Naftali Tishby
2019	Misc	`conf`	Information Constrained Control for Visual Detection of Important Areas. ICASSP Ron M. Hecht, Ariel Telpaz, Gila Kamhi, Aharon Bar-Hillel, Naftali Tishby
2019	B	`conf`	Semantic categories of artifacts and animals reflect efficient coding. CogSci Noga Zaslavsky, Terry Regier, Naftali Tishby, Charles Kemp
2019	J	`jnl`	Semantic categories of artifacts and animals reflect efficient coding. CoRR Noga Zaslavsky, Terry Regier, Naftali Tishby, Charles Kemp
2018	J	`jnl`	An Information-Theoretic Framework for Non-linear Canonical Correlation Analysis. CoRR Amichai Painsky, Meir Feder, Naftali Tishby
2018	B	`conf`	Color naming reflects both perceptual structure and communicative need. CogSci Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier
2018	J	`jnl`	Color naming reflects both perceptual structure and communicative need. CoRR Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier
2018	J	`jnl`	Efficient compression in color naming and its evolution. Proc. Natl. Acad. Sci. USA Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby
2018	J	`jnl`	Efficient human-like semantic representations via the Information Bottleneck principle. CoRR Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby
2018	B	`conf`	Information-theoretic efficiency and semantic variation: The case of color naming. CogSci Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby
2017	J	`jnl`	A General Memory-Bounded Learning Algorithm. CoRR Michal Moshkovitz, Naftali Tishby
2017	J	`jnl`	A Unified Bellman Equation for Causal Information and Value in Markov Decision Processes. CoRR Stas Tiomkin, Naftali Tishby
2017	J	`jnl`	Control Capacity of Partially Observable Dynamic Systems in Continuous Time. CoRR Stas Tiomkin, Daniel Polani, Naftali Tishby
2017	J	`jnl`	Efficient encoding of motion is mediated by gap junctions in the fly visual system. PLoS Comput. Biol. Siwei Wang, Alexander Borst, Noga Zaslavsky, Naftali Tishby, Idan Segev
2017	J	`jnl`	Gaussian Lower Bound for the Information Bottleneck Limit. CoRR Amichai Painsky, Naftali Tishby
2017	J	`jnl`	Gaussian Lower Bound for the Information Bottleneck Limit. J. Mach. Learn. Res. Amichai Painsky, Naftali Tishby
2017	J	`jnl`	Mixing Complexity and its Applications to Neural Networks. CoRR Michal Moshkovitz, Naftali Tishby
2017	J	`jnl`	Opening the Black Box of Deep Neural Networks via Information. CoRR Ravid Shwartz-Ziv, Naftali Tishby
2016	J	`jnl`	A Simple Model of Attentional Blink. CoRR Nadav Amir, Israel Nelken, Naftali Tishby
2016	J	`jnl`	Memory controls time perception and intertemporal choices. CoRR Pedro A. Ortega, Naftali Tishby
2016	J	`jnl`	Minimum-Information LQG Control - Part I: Memoryless Controllers. CoRR Roy Fox, Naftali Tishby
2016	J	`jnl`	Minimum-Information LQG Control - Part II: Retentive Controllers. CoRR Roy Fox, Naftali Tishby
2016	—	`conf`	Minimum-information LQG control Part II: Retentive controllers. CDC Roy Fox, Naftali Tishby
2016	—	`conf`	Minimum-information LQG control part I: Memoryless controllers. CDC Roy Fox, Naftali Tishby
2016	J	`jnl`	Principled Option Learning in Markov Decision Processes. CoRR Roy Fox, Michal Moshkovitz, Naftali Tishby
2016	A	`conf`	Taming the Noise in Reinforcement Learning via Soft Updates. UAI Roy Fox, Ari Pakman, Naftali Tishby
2016	J	`jnl`	The Representation of Prediction Error in Auditory Cortex. PLoS Comput. Biol. Jonathan Rubin, Nachum Ulanovsky, Israel Nelken, Naftali Tishby
2015	A	`conf`	Cognitive workload and vocabulary sparseness: theory and practice. INTERSPEECH Ron M. Hecht, Aharon Bar-Hillel, Stas Tiomkin, Hadar Levi, Omer Tsimhoni, Naftali Tishby
2015	J	`jnl`	Deep Learning and the Information Bottleneck Principle. CoRR Naftali Tishby, Noga Zaslavsky
2015	B	`conf`	Deep learning and the information bottleneck principle. ITW Naftali Tishby, Noga Zaslavsky
2015	J	`jnl`	G-Learning: Taming the Noise in Reinforcement Learning via Soft Updates. CoRR Roy Fox, Ari Pakman, Naftali Tishby
2015	J	`jnl`	Information-Theoretic Bounded Rationality. CoRR Pedro A. Ortega, Daniel A. Braun, Justin Dyer, Kee-Eung Kim, Naftali Tishby
2015	J	`jnl`	Optimal Selective Attention in Reactive Agents. CoRR Roy Fox, Naftali Tishby
2015	—	`conf`	Past-future Information Bottleneck for linear feedback systems. CDC Nadav Amir, Stas Tiomkin, Naftali Tishby
2014	B	`conf`	Control your information for better predictions. ISIT Michal Moshkovitz, Naftali Tishby
2014	A*	`conf`	Monte Carlo methods for exact & efficient solution of the generalized optimality equations. ICRA Pedro A. Ortega, Daniel A. Braun, Naftali Tishby
2013	J	`jnl`	Distribution-dependent sample complexity of large margin learning. J. Mach. Learn. Res. Sivan Sabato, Nathan Srebro, Naftali Tishby
2013	J	`jnl`	Effective Model Representation by Information Bottleneck Principle. IEEE Trans. Speech Audio Process. Ron M. Hecht, Elad Noor, Gil Dobry, Yaniv Zigel, Aharon Bar-Hillel, Naftali Tishby
2013	J	`jnl`	Multivariate Information Bottleneck CoRR Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby
2012	A*	`conf`	Bounded Planning in Passive POMDPs. ICML Roy Fox, Naftali Tishby
2012	J	`jnl`	Characterizing the Sample Complexity of Large-Margin Learning With Second-Order Statistics CoRR Sivan Sabato, Nati Srebro, Naftali Tishby
2012	J	`jnl`	Multi-instance learning with any hypothesis class. J. Mach. Learn. Res. Sivan Sabato, Naftali Tishby
2012	J	`jnl`	Sufficient Dimensionality Reduction with Irrelevant Statistics CoRR Amir Globerson, Gal Chechik, Naftali Tishby
2012	J	`jnl`	The Minimum Information Principle for Discriminative Learning CoRR Amir Globerson, Naftali Tishby
2011	J	`jnl`	Detecting anomalies in people's trajectories using spectral graph analysis. Comput. Vis. Image Underst. Simone Calderara, Uri Heinemann, Andrea Prati, Rita Cucchiara, Naftali Tishby
2011	J	`jnl`	Multi-Instance Learning with Any Hypothesis Class CoRR Sivan Sabato, Naftali Tishby
2011	A	`conf`	Spectral Clustering on a Budget. AISTATS Ohad Shamir, Naftali Tishby
2010	J	`jnl`	Learning and generalization with the information bottleneck. Theor. Comput. Sci. Ohad Shamir, Sivan Sabato, Naftali Tishby
2010	J	`jnl`	PAC-Bayesian Analysis of Co-clustering and Beyond. J. Mach. Learn. Res. Yevgeny Seldin, Naftali Tishby
2010	A	`conf`	Reducing Label Complexity by Learning From Bags. AISTATS Sivan Sabato, Nathan Srebro, Naftali Tishby
2010	J	`jnl`	Stability and model selection in Mach. Learn. Ohad Shamir, Naftali Tishby
2010	J	`jnl`	Tight Sample Complexity of Large-Margin Learning CoRR Sivan Sabato, Nathan Srebro, Naftali Tishby
2010	—	`conf`	Tight Sample Complexity of Large-Margin Learning. NIPS Sivan Sabato, Nathan Srebro, Naftali Tishby
2009	A*	`conf`	Homogeneous Multi-Instance Learning with Arbitrary Dependence. COLT Sivan Sabato, Naftali Tishby
2009	A	`conf`	Information bottleneck based age verification. INTERSPEECH Ron M. Hecht, Omer Hezroni, Amit Manna, Gil Dobry, Yaniv Zigel, Naftali Tishby
2009	A	`conf`	PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering. AISTATS Yevgeny Seldin, Naftali Tishby
2009	A	`conf`	Speaker recognition by Gaussian information bottleneck. INTERSPEECH Ron M. Hecht, Elad Noor, Naftali Tishby
2009	J	`jnl`	The minimum information principle and its application to neural code analysis. Proc. Natl. Acad. Sci. USA Amir Globerson, Eran Stark, Eilon Vaadia, Naftali Tishby
2008	Misc	`conf`	Extracting Relevant Information from Samples. ISAIM Naftali Tishby
2008	J	`jnl`	Generalization from Observed to Unobserved Features by Clustering. J. Mach. Learn. Res. Eyal Krupka, Naftali Tishby
2008	B	`conf`	Learning and Generalization with the Information Bottleneck. ALT Ohad Shamir, Sivan Sabato, Naftali Tishby
2008	A*	`conf`	Model Selection and Stability in k-means Clustering. COLT Ohad Shamir, Naftali Tishby
2008	A*	`conf`	Multi-classification by categorical features via clustering. ICML Yevgeny Seldin, Naftali Tishby
2008	—	`conf`	On the Reliability of Clustering Stability in the Large Sample Regime. NIPS Ohad Shamir, Naftali Tishby
2007	—	`conf`	Cluster Stability for Finite Samples. NIPS Ohad Shamir, Naftali Tishby
2007	J	`jnl`	Euclidean Embedding of Co-occurrence Data. J. Mach. Learn. Res. Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby
2007	A	`conf`	Incorporating Prior Knowledge on Features into Learning. AISTATS Eyal Krupka, Naftali Tishby
2007	J	`jnl`	ProMateus - an open research approach to protein-binding sites analysis. Nucleic Acids Res. Hani Neuvirth, Uri Heinemann, David Birnbaum, Naftali Tishby, Gideon Schreiber
2007	B	`conf`	The Information Bottleneck Revisited or How to Choose a Good Distortion Measure. ISIT Peter Harremoës, Naftali Tishby
2006	B	`conf`	Efficient representation as a design principle for neural coding and computation. ISIT William Bialek, Robert R. de Ruyter van Steveninck, Naftali Tishby
2006	A*	`conf`	Embedding Heterogeneous Data Using Statistical Models. AAAI Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby
2006	—	`conf`	Information Bottleneck for Non Co-Occurrence Data. NIPS Yevgeny Seldin, Noam Slonim, Naftali Tishby
2006	—	`ch.`	Large Margin Principles for Feature Selection. Feature Extraction Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
2006	J	`jnl`	Multivariate Information Bottleneck. Neural Comput. Noam Slonim, Nir Friedman, Naftali Tishby
2005	A	`conf`	Extraction of relevant speech features using the information bottleneck method. INTERSPEECH Ron M. Hecht, Naftali Tishby
2005	—	`conf`	Generalization in Clustering with Unobserved Features. NIPS Eyal Krupka, Naftali Tishby
2005	J	`jnl`	Information Bottleneck for Gaussian Variables. J. Mach. Learn. Res. Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss
2005	—	`conf`	Is Feature Selection Still Necessary? SLSFS Amir Navot, Ran Gilad-Bachrach, Yiftah Navot, Naftali Tishby
2005	—	`conf`	Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity. NIPS Amir Navot, Lavi Shpigelman, Naftali Tishby, Eilon Vaadia
2005	—	`conf`	Query by Committee Made Real. NIPS Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
2004	A*	`conf`	Bayes and Tukey Meet at the Center Point. COLT Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
2004	J	`jnl`	Efficient Exact p-Value Computation for Small Sample, Sparse, and Surprising Categorical Data. J. Comput. Biol. Gill Bejerano, Nir Friedman, Naftali Tishby
2004	—	`conf`	Euclidean Embedding of Co-Occurrence Data. NIPS Amir Globerson, Gal Chechik, Fernando C. N. Pereira, Naftali Tishby
2004	A*	`conf`	Margin based feature selection - theory and algorithms. ICML Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
2004	J	`jnl`	Stochastic computing with biomolecular automata. Proc. Natl. Acad. Sci. USA Rivka Adar, Yaakov Benenson, Gregory Linshiz, Amit Rosner, Naftali Tishby, Ehud Shapiro
2004	A	`conf`	The Minimum Information Principle for Discriminative Learning. UAI Amir Globerson, Naftali Tishby
2003	A*	`conf`	An Information Theoretic Tradeoff between Complexity and Accuracy. COLT Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
2003	J	`jnl`	Discriminative Feature Selection via Multiclass Variable Memory Markov Model. EURASIP J. Adv. Signal Process. Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby
2003	J	`jnl`	Distributional Word Clusters vs. Words for Text Categorization. J. Mach. Learn. Res. Ron Bekkerman, Ran El-Yaniv, Naftali Tishby, Yoad Winter
2003	B	`conf`	Efficient Data Representations That Preserve Information. ALT Naftali Tishby
2003	B	`conf`	Efficient Data Representations That Preserve Information. Discovery Science Naftali Tishby
2003	—	`conf`	Information Bottleneck for Gaussian Variables. NIPS Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss
2003	A	`conf`	Sufficient Dimensionality Reduction with Irrelevance Statistics. UAI Amir Globerson, Gal Chechik, Naftali Tishby
2003	J	`jnl`	Sufficient Dimensionality Reduction. J. Mach. Learn. Res. Amir Globerson, Naftali Tishby
2002	J	`jnl`	A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles. Mach. Learn. Shlomo Dubnov, Ran El-Yaniv, Yoram Gdalyahu, Elad Schneidman, Naftali Tishby, Golan Yona
2002	A*	`conf`	Discriminative Feature Selection via Multiclass Variable Memory Markov Model. ICML Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby
2002	—	`conf`	Extracting Relevant Structures with Side Information. NIPS Gal Chechik, Naftali Tishby
2002	—	`conf`	Margin Analysis of the LVQ Algorithm. NIPS Koby Crammer, Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
2002	—	`conf`	Most Informative Dimension Reduction. AAAI/IAAI Amir Globerson, Naftali Tishby
2002	A*	`conf`	Sufficient Dimensionality Reduction - A novel Analysis Method. ICML Amir Globerson, Naftali Tishby
2002	A*	`conf`	Unsupervised document classification using sequential information maximization. SIGIR Noam Slonim, Nir Friedman, Naftali Tishby
2001	—	`conf`	Agglomerative Multivariate Information Bottleneck. NIPS Noam Slonim, Nir Friedman, Naftali Tishby
2001	—	`conf`	Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway. NIPS Gal Chechik, Amir Globerson, Michael J. Anderson, Eric D. Young, Israel Nelken, Naftali Tishby
2001	J	`jnl`	Markovian domain fingerprinting: statistical segmentation of protein sequences. Bioinform. Gill Bejerano, Yevgeny Seldin, Hanah Margalit, Naftali Tishby
2001	A	`conf`	Multivariate Information Bottleneck. UAI Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby
2001	A*	`conf`	On Feature Distributional Clustering for Text Categorization. SIGIR Ron Bekkerman, Ran El-Yaniv, Yoad Winter, Naftali Tishby
2001	J	`jnl`	Predictability, Complexity, and Learning. Neural Comput. William Bialek, Ilya Nemenman, Naftali Tishby
2001	J	`jnl`	Spotting Neural Spike Patterns Using an Adversary Background Model. Neural Comput. Itay Gat, Naftali Tishby
2001	A*	`conf`	Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources. ICML Yevgeny Seldin, Gill Bejerano, Naftali Tishby
2000	—	`conf`	Data Clustering by Markovian Relaxation and the Information Bottleneck Method. NIPS Naftali Tishby, Noam Slonim
2000	A*	`conf`	Document clustering using word clusters via the information bottleneck method. SIGIR Noam Slonim, Naftali Tishby
2000	J	`jnl`	Predictability, complexity and learning CoRR William Bialek, Ilya Nemenman, Naftali Tishby
2000	A*	`conf`	Statistical Sufficiency for Classes in Empirical L COLT Shahar Mendelson, Naftali Tishby
2000	—	`conf`	Temporally Dependent Plasticity: An Information Theoretic Account. NIPS Gal Chechik, Naftali Tishby
2000	J	`jnl`	The information bottleneck method CoRR Naftali Tishby, Fernando C. N. Pereira, William Bialek
2000	—	`conf`	Universality and Individuality in a Neural Code. NIPS Elad Schneidman, Naama Brenner, Naftali Tishby, Robert R. de Ruyter van Steveninck, William Bialek
1999	—	`conf`	Agglomerative Information Bottleneck. NIPS Noam Slonim, Naftali Tishby
1999	—	`conf`	Information Capacity and Robustness of Stochastic Neuron Models. NIPS Elad Schneidman, Idan Segev, Naftali Tishby
1998	A	`conf`	A Map of the Protein Space: An Automatic Hierarchical Classification of all Protein Sequences. ISMB Golan Yona, Nathan Linial, Naftali Tishby, Michal Linial
1998	—	`conf`	Multi-Electrode Spike Sorting by Clustering Transfer Functions. NIPS Dmitry Rinberg, Hanan Davidowitz, Naftali Tishby
1998	J	`jnl`	On the Learnability and Usage of Acyclic Probabilistic Finite Automata. J. Comput. Syst. Sci. Dana Ron, Yoram Singer, Naftali Tishby
1998	—	`conf`	Synergy and Redundancy among Brain Cells of Behaving Monkeys. NIPS Itay Gat, Naftali Tishby
1998	J	`jnl`	The Hierarchical Hidden Markov Model: Analysis and Applications. Mach. Learn. Shai Fine, Yoram Singer, Naftali Tishby
1998	—	`conf`	WebSuite: A Tool Suite for Harnessing Web Data. WebDB Catriel Beeri, Gershon Elber, Tova Milo, Yehoshua Sagiv, Oded Shmueli, Naftali Tishby, Yakov A. Kogan, David Konopnicki, Pini Mogilevski, Noam Slonim
1997	—	`conf`	Agnostic Classification of Markovian Sequences. NIPS Ran El-Yaniv, Shai Fine, Naftali Tishby
1997	Misc	`conf`	Analysis of sound textures in musical and machine sounds by means of higher order statistical features. ICASSP Shlomo Dubnov, Naftali Tishby
1997	J	`jnl`	Selective Sampling Using the Query by Committee Algorithm. Mach. Learn. Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby
1996	J	`jnl`	Beyond Word N-Grams CoRR Fernando C. N. Pereira, Yoram Singer, Naftali Tishby
1996	—	`conf`	Influence of Frequency Modulating Jitter on Higher Order Moments of Sound Residual with Applications to Synthesis and Classification. ICMC Shlomo Dubnov, Naftali Tishby, Dalia Cohen
1996	J	`jnl`	Rigorous Learning Curve Bounds from Statistical Mechanics. Mach. Learn. David Haussler, Michael J. Kearns, H. Sebastian Seung, Naftali Tishby
1996	J	`jnl`	The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length. Mach. Learn. Dana Ron, Yoram Singer, Naftali Tishby
1995	—	`conf`	Beyond Word N-Grams. VLC@ACL Fernando Pereira, Yoram Singer, Naftali Tishby
1995	—	`conf`	Clustering Musical Sounds Using Polyspectral Distance Measures. ICMC Shlomo Dubnov, Naftali Tishby
1995	A*	`conf`	On the Learnability and Usage of Acyclic Probabilistic Finite Automata. COLT Dana Ron, Yoram Singer, Naftali Tishby
1994	—	`conf`	Acoustic spectral estimation using higher order statistics. ICPR (3) Shlomo Dubnov, Naftali Tishby
1994	J	`jnl`	Algebraic learning of statistical associations for language acquisition. Comput. Speech Lang. Naftali Tishby, Allen L. Gorin
1994	J	`jnl`	Distributional Clustering of English Words. CoRR Fernando C. N. Pereira, Naftali Tishby, Lillian Lee
1994	J	`jnl`	Dynamical encoding of cursive handwriting. Biol. Cybern. Yoram Singer, Naftali Tishby
1994	A*	`conf`	Learning Probabilistic Automata with Variable Memory Length. COLT Dana Ron, Yoram Singer, Naftali Tishby
1994	A*	`conf`	Rigorous Learning Curve Bounds from Statistical Mechanics. COLT David Haussler, H. Sebastian Seung, Michael J. Kearns, Naftali Tishby
1994	—	`conf`	Stability and Likelihood of Views of Three Dimensional Objects. ECCV (1) Daphna Weinshall, Michael Werman, Naftali Tishby
1994	—	`conf`	Stability and Likelihood of Views of Three Dimensional Objects. Theoretical Foundations of Computer Vision Daphna Weinshall, Michael Werman, Naftali Tishby
1993	—	`conf`	Decoding Cursive Scripts. NIPS Yoram Singer, Naftali Tishby
1993	A*	`conf`	Distributional Clustering of English Words. ACL Fernando C. N. Pereira, Naftali Tishby, Lillian Lee
1993	A*	`conf`	Dynamical encoding of cursive handwriting. CVPR Yoram Singer, Naftali Tishby
1993	—	`conf`	The Power of Amnesia. NIPS Dana Ron, Yoram Singer, Naftali Tishby
1993	—	`conf`	The Statistical Mechanics of k-Satisfaction. NIPS Scott Kirkpatrick, Géza Györgyi, Naftali Tishby, Lidror Troyansky
1992	—	`conf`	Information, Prediction, and Query by Committee. NIPS Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby
1992	—	`conf`	Statistical Modeling of Cell Assemblies Activities in Associative Cortex of Behaving Monkeys. NIPS Itay Gat, Naftali Tishby
1991	A*	`conf`	Learning Curves in Large Neural Networks. COLT H. Sebastian Seung, Haim Sompolinsky, Naftali Tishby
1990	Misc	`conf`	A dynamical systems approach to speech processing. ICASSP Naftali Tishby
1990	J	`jnl`	A statistical approach to learning and generalization in layered neural networks. Proc. IEEE Esther Levin, Naftali Tishby, Sara A. Solla
1989	A*	`conf`	A Statistical Approach to Learning and Generalization in Layered Neural Networks. COLT Esther Levin, Naftali Tishby, Sara A. Solla
1988	Misc	`conf`	Information theoretic factorization of speaker and language in hidden Markov models, with application to speaker recognition. ICASSP Naftali Tishby
1988	J	`jnl`	Nonlinear dynamical modeling of speech using neural networks. Neural Networks Naftali Tishby