Naftali Tishby | Academic Influence

Naftali Tishby's AcademicInfluence.com Rankings

Naftali Tishby

Computer Science

#2002

World Rank

#2081

Historical Rank

Information Theory

#29

World Rank

#30

Historical Rank

Machine Learning

#1649

World Rank

#1671

Historical Rank

Database

#3161

World Rank

#3295

Historical Rank

computer-science Degrees

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Computer Science

Naftali Tishby's Degrees

PhD Physics Weizmann Institute of Science

Why Is Naftali Tishby Influential?

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According to Wikipedia, Naftali "Tali" Tishby was a professor of computer science and computational neuroscientist at the Hebrew University of Jerusalem. Early life and education Tishby was born in 1952. His father Yeshaya Tishby is a researcher of Kabbalah and Jewish thought.

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Naftali Tishby's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

The information bottleneck method (2000) (2720)
Distributional Clustering of English Words (1993) (1207)
Selective Sampling Using the Query by Committee Algorithm (1997) (1184)
Opening the Black Box of Deep Neural Networks via Information (2017) (1088)
Deep learning and the information bottleneck principle (2015) (1049)
The Hierarchical Hidden Markov Model: Analysis and Applications (1998) (990)
Machine learning and the physical sciences (2019) (975)
Document clustering using word clusters via the information bottleneck method (2000) (543)
The power of amnesia: Learning probabilistic automata with variable memory length (1996) (501)
Agglomerative Information Bottleneck (1999) (453)
Margin based feature selection - theory and algorithms (2004) (444)
Distributional Word Clusters vs. Words for Text Categorization (2003) (350)
Unsupervised document classification using sequential information maximization (2002) (305)
A statistical approach to learning and generalization in layered neural networks (1989) (289)
Cortical activity flips among quasi-stationary states. (1995) (288)
Information Theory of Decisions and Actions (2011) (272)
Taming the Noise in Reinforcement Learning via Soft Updates (2015) (269)
Information Bottleneck for Gaussian Variables (2003) (266)
Margin Analysis of the LVQ Algorithm (2002) (253)
Euclidean Embedding of Co-occurrence Data (2004) (246)
Reduction of Information Redundancy in the Ascending Auditory Pathway (2006) (245)
The Power of Word Clusters for Text Classification (2006) (212)
Multivariate Information Bottleneck (2001) (205)
On the learnability and usage of acyclic probabilistic finite automata (1995) (182)
Consistent inference of probabilities in layered networks: predictions and generalizations (1989) (181)
Learning and generalization with the information bottleneck (2008) (181)
Predictability, Complexity, and Learning (2000) (171)
Data Clustering by Markovian Relaxation and the Information Bottleneck Method (2000) (153)
On feature distributional clustering for text categorization (2001) (147)
The Power of Amnesia (1993) (132)
Query by Committee Made Real (2005) (123)
Efficient compression in color naming and its evolution (2018) (120)
Learning probabilistic automata with variable memory length (1994) (119)
Information, Prediction, and Query by Committee (1992) (117)
The Information Bottleneck Revisited or How to Choose a Good Distortion Measure (2007) (116)
Consistent inference of probabilities for reproducible experiments (1984) (109)
Rigorous Learning Curve Bounds from Statistical Mechanics (1994) (108)
Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity (2005) (107)
Extracting Relevant Structures with Side Information (2002) (106)
Stochastic computing with biomolecular automata (2004) (104)
Sufficient Dimensionality Reduction (2003) (102)
Complexity through nonextensivity (2001) (91)
An Information Theoretic Tradeoff between Complexity and Accuracy (2003) (91)
Detecting anomalies in people's trajectories using spectral graph analysis (2011) (86)
Trading Value and Information in MDPs (2012) (86)
Global self-organization of all known protein sequences reveals inherent biological signatures. (1997) (84)
Dynamical encoding of cursive handwriting (1993) (73)
A dynamical systems approach to speech processing (1990) (72)
Objective Classification of Galaxy Spectra using the Information Bottleneck Method (2000) (72)
Past-future information bottleneck in dynamical systems. (2009) (70)
Efficient representation as a design principle for neural coding and computation (2006) (66)
PAC-Bayesian Analysis of Co-clustering and Beyond (2010) (65)
Alternative approach to maximum-entropy inference (1984) (65)
The Representation of Prediction Error in Auditory Cortex (2016) (65)
Cluster Stability for Finite Samples (2007) (65)
Spectral Clustering on a Budget (2011) (55)
Incorporating Prior Knowledge on Features into Learning (2007) (54)
Agnostic Classification of Markovian Sequences (1997) (49)
Hidden Markov modelling of simultaneously recorded cells in the associative cortex of behaving monkeys (1997) (49)
Synergy and Redundancy among Brain Cells of Behaving Monkeys (1998) (48)
Agglomerative Multivariate Information Bottleneck (2001) (47)
A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles (2002) (43)
The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length (2005) (43)
Predictive Information (1999) (42)
Stability and model selection in k-means clustering (2010) (41)
Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway (2001) (41)
Efficient Exact p-Value Computation for Small Sample, Sparse, and Surprising Categorical Data (2004) (40)
Information-Theoretic Bounded Rationality (2015) (40)
Multi-instance learning with any hypothesis class (2011) (40)
Model Selection and Stability in k-means Clustering (2008) (36)
Dopaminergic Balance between Reward Maximization and Policy Complexity (2011) (35)
Beyond Word N-Grams (1996) (34)
The minimum information principle and its application to neural code analysis (2009) (34)
Information and fitness (2007) (34)
Color naming reflects both perceptual structure and communicative need (2018) (31)
WebSuite: A Tool Suite for Harnessing Web Data (1998) (31)
Parameter estimation of linear sensorimotor synchronization models : phase correction, period correction, and ensemble synchronization (2015) (30)
Learning to Select Features using their Properties (2008) (29)
Time evolution via a self-consistent maximal-entropy propagation: The reversible case (1984) (29)
A Map of the Protein Space: An Automatic Hierarchical Classification of all Protein Sequences (1998) (29)
Information Capacity and Robustness of Stochastic Neuron Models (1999) (28)
Discriminative Feature Selection via Multiclass Variable Memory Markov Model (2002) (28)
Distributional Similarity, Phase Transitions and Hierarchical Clustering (1992) (27)
ProMateus—an open research approach to protein-binding sites analysis (2007) (26)
On the Reliability of Clustering Stability in the Large Sample Regime (2008) (26)
Polyspectra as measures of sound texture and timbre (1997) (25)
A Unified Bellman Equation for Causal Information and Value in Markov Decision Processes (2017) (25)
Extraction of relevant speech features using the information bottleneck method (2005) (24)
The Minimum Information Principle for Discriminative Learning (2004) (24)
Universality and Individuality in a Neural Code (2000) (24)
Markovian domain fingerprinting: statistical segmentation of protein sequences (2001) (23)
Is Feature Selection Still Necessary? (2005) (23)
An Information Theoretic Approach to Chord Categorization and Functional Harmony (2015) (22)
PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering (2009) (20)
Speaker recognition by Gaussian information bottleneck (2009) (20)
Information Bottleneck for Non Co-Occurrence Data (2006) (19)
Statistical Modeling of Cell Assemblies Activities in Associative Cortex of Behaving Monkeys (1992) (18)
Semantic categories of artifacts and animals reflect efficient coding (2019) (17)
Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources (2001) (17)
Minimum-information LQG control part I: Memoryless controllers (2016) (16)
Algebraic learning of statistical associations for language acquisition (1994) (16)
Rigorous learning curve bounds from statistical mechanics (1994) (16)
The Statistical Mechanics of k-Satisfaction (1993) (16)
Stability and Likelihood of Views of Three Dimensional Objects (1994) (16)
Monte Carlo methods for exact & efficient solution of the generalized optimality equations (2014) (15)
Communicative need in colour naming (2020) (15)
Hearing beyond the spectrum (1995) (15)
Bayes and Tukey Meet at the Center Point (2004) (14)
Multi-classification by categorical features via clustering (2008) (14)
Control Capacity of Partially Observable Dynamic Systems in Continuous Time (2017) (13)
Analysis of sound textures in musical and machine sounds by means of higher order statistical features (1997) (13)
Efficient encoding of motion is mediated by gap junctions in the fly visual system (2017) (13)
Generalization in Clustering with Unobserved Features (2005) (13)
Learning curves in large neural networks (1991) (12)
Minimum-information LQG control Part II: Retentive controllers (2016) (12)
Multi-Electrode Spike Sorting by Clustering Transfer Functions (1998) (12)
Learning in a Two-Layer Neural Network of Edge Detectors (1990) (12)
Homogeneous Multi-Instance Learning with Arbitrary Dependence (2009) (11)
REPRESENTATION COMPRESSION AND GENERALIZATION IN DEEP NEURAL NETWORKS (2018) (11)
Influence of Frequency Modulating Jitter on Higher Order Moments of Sound Residual with Applications to Synthesis and Classification (1996) (11)
Gaussian Lower Bound for the Information Bottleneck Limit (2017) (11)
Principled Option Learning in Markov Decision Processes (2016) (11)
Generalization from Observed to Unobserved Features by Clustering (2008) (11)
Efficient human-like semantic representations via the Information Bottleneck principle (2018) (10)
Surprise response as a probe for compressed memory states (2019) (10)
Spike sorting in the frequency domain with overlap detection (2003) (10)
Mixing Complexity and its Applications to Neural Networks (2017) (10)
Reducing Label Complexity by Learning From Bags (2010) (9)
Cluster-Based Pattern Recognition in Natural Language Text (2005) (9)
Tight Sample Complexity of Large-Margin Learning (2010) (9)
Encoding by response duration in the basal ganglia. (2008) (9)
Distribution-dependent sample complexity of large margin learning (2012) (8)
Testing for Gaussianity and Non Linearity in the sustained portion of musical sounds (1996) (8)
The Dual Information Bottleneck (2019) (8)
Lower Bound on the Accuracy of Parameter Estimation Methods for Linear Sensorimotor Synchronization Models (2015) (7)
Surprisal analysis derived from a variational principle for mechanical systems (1983) (7)
The evolution of color naming reflects pressure for efficiency: Evidence from the recent past (2021) (7)
Large Margin Principles for Feature Selection (2006) (7)
Bounded Planning in Passive POMDPs (2012) (7)
Single-class Support Vector Machines (1999) (6)
Value-complexity tradeoff explains mouse navigational learning (2020) (6)
A self-consistent field procedure for stationary states using an algebraic approach and the maximum entropy formalism (1984) (6)
Sufficient Dimensionality Reduction with Irrelevance Statistics (2002) (6)
Embedding Heterogeneous Data Using Statistical Models (2006) (5)
Statistical Sufficiency for Classes in Empirical L2 Spaces (2000) (5)
Acoustic spectral estimation using higher order statistics (1994) (5)
An Information-Theoretic Framework for Non-linear Canonical Correlation Analysis (2018) (5)
The Information Of Observations And Application For Active Learning With Uncertainty (2001) (5)
Information theoretic factorization of speaker and language in hidden Markov models, with application to speaker recognition (1988) (5)
A General Memory-Bounded Learning Algorithm (2017) (5)
Nonlinear Canonical Correlation Analysis:A Compressed Representation Approach (2018) (5)
Cognitive workload and vocabulary sparseness: theory and practice (2015) (4)
A PAC-Bayesian Approach to Unsupervised Learning with Application to Co-clustering Analysis (2009) (4)
Clustering of Musical Sounds Using Polyspectral Distance (1995) (4)
Temporally Dependent Plasticity: An Information Theoretic Account (2000) (4)
Effective Model Representation by Information Bottleneck Principle (2013) (4)
Noise Tolerant Learnability via the Dual Learning Problem (2007) (4)
Empirical risk approximation : A statistical learning theory of data clustering (1998) (4)
Optimal Selective Attention in Reactive Agents (2015) (4)
Transformation of stimulus representations in the ascending auditory system (2005) (4)
Sufficient Dimensionality Reduction - A novel Analysis Method (2002) (4)
Clustering Musical Sounds Using Polyspectral Distance Measures (1995) (3)
Draft version for NIPS 2004 Euclidean Embedding of Co-occurrence Data (3)
Past-future Information Bottleneck for linear feedback systems (2015) (3)
Decoding Cursive Scripts (1993) (3)
Comparative study of supervised detection methods of simultaneously recorded spike trains (1997) (3)
Learning and Generalization with Undetermined Architecture (1994) (3)
NOISE TOLERANT LEARNING USING EARLY PREDICTORS (1999) (3)
The Information Bottleneck Theory of Deep Neural Networks (2018) (3)
Inferring probabilistic acyclic automata using the minimum description length principle (1994) (3)
Information Constrained Control for Visual Detection of Important Areas (2019) (2)
The Emergence of Relevant DATA Representations: An Information Theoretic Approach (2005) (2)
Unsupervised Segmentation and Classification of Mixtures of Markovian Sources (2001) (2)
A simple model of the attentional blink and its modulation by mental training (2022) (2)
Nonlinear dynamical modeling of speech using neural networks (1988) (2)
Information bottleneck based age verification (2009) (2)
Critical Slowing Down Near Topological Transitions in Rate-Distortion Problems (2021) (2)
Information Constrained Control Analysis of Eye Gaze Distribution Under Workload (2019) (2)
Minimum-Information LQG Control Supplementary Material (2016) (2)
Extracting Continuous Relevant Features (2005) (2)
Detecting chaos in lineage-trees: A deep learning approach (2021) (1)
Most informative dimension reduction (2002) (1)
Beyond Word N-Grams Fernando C. Pereira Yoram Singer AT&T Research (1996) (1)
Extraction of Protein Domains and Signatures through Unsupervised Statistical Sequence Segmentation (2007) (1)
Characterizing the Sample Complexity of Large-Margin Learning With Second-Order Statistics (2012) (1)
Approximate Faithful Embedding in Learning (1997) (1)
Evolution and efficiency in color naming: The case of Nafaanra (2019) (1)
Extracting Relevant Information from Samples (2008) (1)
Spotting Neural Spike Patterns Using an Adversary Background Model (2001) (1)
Agnostic Classiication of Markovian Sequences (1998) (1)
Correction for: The minimum information principle and its application to neural code analysis, by Amir Globerson, et al (2009) (0)
Öóùô Êêêùòòòò Blockiný Ååå×ùöö× Êêúð Êêêùòòòò Blockiný Êêêù Blockinøøóò Ò Øøø Ùùùøóöý Èøøûý (2007) (0)
Ìñôóööððý Ôòòòòø Èðð×øø Blockin Blockinøýý Ò Áòòóöññøøóò Ìììóööøø Óùòø (2007) (0)
Sensing and acting under information constraints - a principled approach to biology and intelligence (2014) (0)
A Simple Model of Attentional Blink (2016) (0)
Intrinsic Motivation in Dynamical Control Systems (2022) (0)
Innuence of Frequency Modulating Jitter on Higher Order Moments of Sound Residual with Applications to Synthesis and Classiication (1996) (0)
The Information Bottleneck Method [ 1 ] (2004) (0)
Organizing Committee: Mickey London (2012) (0)
Consistent dimensionality reduction scheme and its application to clinical HIV data (0)
Correction for Globerson et al., The minimum information principle and its application to neural code analysis (2009) (0)
Agglomerative Multivariate InformationBottlene (2001) (0)
× Blockinööññòòøøú Îööööðð Ååñóöý Ååööóú Åóð Óö Øùöö Ëëðð Blockinøøóò (2001) (0)
Agnostic Clustering of MarkovianSequencesRan (2007) (0)
Improving Generalization by Incorporating Prior Knowledge on Features (2006) (0)
Information Bottleneck forGaussian (2006) (0)
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Ëøøøø×øø Blockin Blockinð Ëùae Blockin Blockin Blockinò Blockiný Óö Ðð×××× Ò Ñôôöö Blockin Blockinð Ä ¾ Ëôô Blockin Blockin× Ëëëëëö Ååòòòð×óò Òò Aeaeaeøøðð Ìì××ý Ë Blockinóóð Óó Óñôùøøö Ë Blockin Blockin Blockinò Òò Òòòòòòööòò Ììì Àààööû Íòòúö××øý¸ââöù××ððñ ½½¼¼¸á×öööð (2007) (0)
Information-theoretic efficiency and semantic variation: The case of color naming (2018) (0)
Åó×ø Áòòóöññøøú Ññò××óò Êêêù Blockinøøóò Ññö Ðóóö×óò Òò Aeaeaeøøðð Ìì××ý (2007) (0)
Chapter 29 Large Margin Principles for Feature Selection (0)
On Unsupervised Learning of Mixtures of Markov Sources Thesis submitted for the degree \Master of Science" (2006) (0)
Information Capa ity and Robustness ofSto hasti Neuron (2000) (0)
Bispecturm of musical sounds : an auditory perspective (2006) (0)
Agglomerative Multivariate InformationBottleneckNoam (2006) (0)
Statistical Physics Models of Supervised Learning (2018) (0)
Improved Prediction of HIV Resistance In-Vitro by Biochemically-Driven Models (0)
The value–complexity trade-off for reinforcement learning based brain–computer interfaces (2020) (0)
Ëùae Blockin Blockin Blockinòø Ññò××óòòððøý Êêêù Blockinøøóò ¹ Òóúð Òòðý××× Ññøøó (2007) (0)
Cluster Stability for Finite Samples Supplementary Material (2007) (0)
Memory controls time perception and intertemporal choices (2016) (0)
Efficient Data Representations That Preserve Information (2003) (0)
Obje tive Classi ation of Galaxy Spe tra using theInformation Bottlene k (2000) (0)
Memory shapes time perception and intertemporal choices (2016) (0)
Information Processing for Optimal Behavior (2010) (0)
Ììì Áòòóöññøøóò Çç Çç××öúøøóò× Òò Ôôðð Blockin Blockinøøóò Óö Øøú Äääöòòòò Ïïøø Íò Blockin Blockinöøøøòøý (2007) (0)
Training Context-Insensitive versus Context-Sensitive Text Classifiers using Small Data Sets (1998) (0)
Analyzing neural odes using theinformation bottlene k methodElad (2001) (0)
Universality and individuality in a neural (2007) (0)
Communicative need and color naming (2019) (0)
of the Month , 12 / 2017 ( Segev ' s lab ) (2017) (0)
Analyzing neural codes using theinformation bottleneck (2006) (0)
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Çò Íò×ùôöúú××× Äääöòòòò Óó Ååüøùöö× Óó Ååööóú Ëóùö Blockin Blockin× (2007) (0)
Ëººº Ëóððð¸ìºãº Äääò Òò Ãº¹êº Å Ùðððö´´´×ºµ¸½½½ß½½½ Åáì Èöö××´¾¼¼¼µ (2007) (0)
Information Bottleneck for Non Co-Occurence Data Supplementary Material (0)
Agnostic Classi cation of MarkovianSequencesRan (1998) (0)
of the Month , 10 / 2017 ( Deouell ' s lab ) (2017) (0)
Author response for "The value–complexity trade-off for reinforcement learning based brain–computer interfaces" (2020) (0)
Spotting Neural Spike Patterns via Decomposition Into Types (2006) (0)
Deep Learning, Group representations, and the Information-Bottleneck phase transitions. (2016) (0)
Choose a Good Distortion Measure (2007) (0)
Opportunities for US-Israeli Collaborations in Computational Neuroscience (2013) (0)
AChE as a gateway to everything science has to offer (2017) (0)
Text‐independent speaker verification using linear predictive hidden Markov models (1987) (0)
Control your information for better predictions (2014) (0)
Unsupervised Learning (Dagstuhl Seminar 99121) (2021) (0)
A pr 2 00 0 The information bottleneck method (2008) (0)
Modeling the Effect of Driver's Eye Gaze Pattern Under Workload: Gaussian Mixture Approach (2020) (0)
The Elsc-icnc Annual Retreat Kibbutz Ein Gedi ‫האנגלית‬ ‫בשפה‬ ‫ניתנות‬ ‫ההרצאות‬ (2013) (0)

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