Naftali Tishby

ORCID

Publication Activity (10 Years)

Years Active: 1988-2023
Publications (10 Years): 40

Top Venues

Publications

Stas Tiomkin, Ilya Nemenman, Daniel Polani, Naftali Tishby
Intrinsic Motivation in Dynamical Control Systems. CoRR (2023)
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)
Hagai Rappeport, Irit Levin Reisman, Naftali Tishby, Nathalie Q. Balaban
Detecting chaos in lineage-trees: A deep learning approach. CoRR (2021)
Shlomi Agmon, Etam Benger, Or Ordentlich, Naftali Tishby
Critical Slowing Down Near Topological Transitions in Rate-Distortion Problems. CoRR (2021)
Shlomi Agmon, Etam Benger, Or Ordentlich, Naftali Tishby
Critical Slowing Down Near Topological Transitions in Rate-Distortion Problems. ISIT (2021)
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)
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)
Zoe Piran, Ravid Shwartz-Ziv, Naftali Tishby
The Dual Information Bottleneck. CoRR (2020)
Amichai Painsky, Meir Feder, Naftali Tishby
Nonlinear Canonical Correlation Analysis: A Compressed Representation Approach. Entropy 22 (2) (2020)
Hadar Levi-Aharoni, Oren Shriki, Naftali Tishby
Surprise response as a probe for compressed memory states. PLoS Comput. Biol. 16 (2) (2020)
Ron M. Hecht, Ariel Telpaz, Gila Kamhi, Aharon Bar-Hillel, Naftali Tishby
Information Constrained Control for Visual Detection of Important Areas. ICASSP (2019)
Noga Zaslavsky, Terry Regier, Naftali Tishby, Charles Kemp
Semantic categories of artifacts and animals reflect efficient coding. CogSci (2019)
Noga Zaslavsky, Karee Garvin, Charles Kemp, Naftali Tishby, Terry Regier
Evolution and efficiency in color naming: The case of Nafaanra. CogSci (2019)
Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier
Communicative need and color naming. CogSci (2019)
Noga Zaslavsky, Terry Regier, Naftali Tishby, Charles Kemp
Semantic categories of artifacts and animals reflect efficient coding. CoRR (2019)
Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier
Color Naming Reflects Both Perceptual Structure and Communicative Need. Top. Cogn. Sci. 11 (1) (2019)
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) (2019)
Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby
Efficient human-like semantic representations via the Information Bottleneck principle. CoRR (2018)
Amichai Painsky, Meir Feder, Naftali Tishby
An Information-Theoretic Framework for Non-linear Canonical Correlation Analysis. CoRR (2018)
Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby
Information-theoretic efficiency and semantic variation: The case of color naming. CogSci (2018)
Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier
Color naming reflects both perceptual structure and communicative need. CoRR (2018)
Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier
Color naming reflects both perceptual structure and communicative need. CogSci (2018)
Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby
Efficient compression in color naming and its evolution. Proc. Natl. Acad. Sci. USA 115 (31) (2018)
Stas Tiomkin, Daniel Polani, Naftali Tishby
Control Capacity of Partially Observable Dynamic Systems in Continuous Time. CoRR (2017)
Stas Tiomkin, Naftali Tishby
A Unified Bellman Equation for Causal Information and Value in Markov Decision Processes. CoRR (2017)
Amichai Painsky, Naftali Tishby
Gaussian Lower Bound for the Information Bottleneck Limit. CoRR (2017)
Michal Moshkovitz, Naftali Tishby
Mixing Complexity and its Applications to Neural Networks. CoRR (2017)
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)
Ravid Shwartz-Ziv, Naftali Tishby
Opening the Black Box of Deep Neural Networks via Information. CoRR (2017)
Amichai Painsky, Naftali Tishby
Gaussian Lower Bound for the Information Bottleneck Limit. J. Mach. Learn. Res. 18 (2017)
Michal Moshkovitz, Naftali Tishby
A General Memory-Bounded Learning Algorithm. CoRR (2017)
Jonathan Rubin, Nachum Ulanovsky, Israel Nelken, Naftali Tishby
The Representation of Prediction Error in Auditory Cortex. PLoS Comput. Biol. 12 (8) (2016)
Roy Fox, Naftali Tishby
Minimum-information LQG control part I: Memoryless controllers. CDC (2016)
Roy Fox, Naftali Tishby
Minimum-Information LQG Control - Part II: Retentive Controllers. CoRR (2016)
Pedro A. Ortega, Naftali Tishby
Memory controls time perception and intertemporal choices. CoRR (2016)
Roy Fox, Naftali Tishby
Minimum-information LQG control Part II: Retentive controllers. CDC (2016)
Roy Fox, Ari Pakman, Naftali Tishby
Taming the Noise in Reinforcement Learning via Soft Updates. UAI (2016)
Nadav Amir, Israel Nelken, Naftali Tishby
A Simple Model of Attentional Blink. CoRR (2016)
Roy Fox, Michal Moshkovitz, Naftali Tishby
Principled Option Learning in Markov Decision Processes. CoRR (2016)
Roy Fox, Naftali Tishby
Minimum-Information LQG Control - Part I: Memoryless Controllers. CoRR (2016)
Roy Fox, Naftali Tishby
Optimal Selective Attention in Reactive Agents. CoRR (2015)
Roy Fox, Ari Pakman, Naftali Tishby
G-Learning: Taming the Noise in Reinforcement Learning via Soft Updates. CoRR (2015)
Naftali Tishby, Noga Zaslavsky
Deep learning and the information bottleneck principle. ITW (2015)
Pedro A. Ortega, Daniel A. Braun, Justin Dyer, Kee-Eung Kim, Naftali Tishby
Information-Theoretic Bounded Rationality. CoRR (2015)
Naftali Tishby, Noga Zaslavsky
Deep Learning and the Information Bottleneck Principle. CoRR (2015)
Nadav Amir, Stas Tiomkin, Naftali Tishby
Past-future Information Bottleneck for linear feedback systems. CDC (2015)
Ron M. Hecht, Aharon Bar-Hillel, Stas Tiomkin, Hadar Levi, Omer Tsimhoni, Naftali Tishby
Cognitive workload and vocabulary sparseness: theory and practice. INTERSPEECH (2015)
Michal Moshkovitz, Naftali Tishby
Control your information for better predictions. ISIT (2014)
Pedro A. Ortega, Daniel A. Braun, Naftali Tishby
Monte Carlo methods for exact & efficient solution of the generalized optimality equations. ICRA (2014)
Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby
Multivariate Information Bottleneck CoRR (2013)
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) (2013)
Sivan Sabato, Nathan Srebro, Naftali Tishby
Distribution-dependent sample complexity of large margin learning. J. Mach. Learn. Res. 14 (1) (2013)
Sivan Sabato, Nati Srebro, Naftali Tishby
Characterizing the Sample Complexity of Large-Margin Learning With Second-Order Statistics CoRR (2012)
Amir Globerson, Naftali Tishby
The Minimum Information Principle for Discriminative Learning CoRR (2012)
Roy Fox, Naftali Tishby
Bounded Planning in Passive POMDPs. ICML (2012)
Amir Globerson, Gal Chechik, Naftali Tishby
Sufficient Dimensionality Reduction with Irrelevant Statistics CoRR (2012)
Sivan Sabato, Naftali Tishby
Multi-instance learning with any hypothesis class. J. Mach. Learn. Res. 13 (2012)
Sivan Sabato, Naftali Tishby
Multi-Instance Learning with Any Hypothesis Class CoRR (2011)
Ohad Shamir, Naftali Tishby
Spectral Clustering on a Budget. AISTATS (2011)
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) (2011)
Sivan Sabato, Nathan Srebro, Naftali Tishby
Tight Sample Complexity of Large-Margin Learning. NIPS (2010)
Ohad Shamir, Naftali Tishby
-means clustering. Mach. Learn. 80 (2-3) (2010)
Ohad Shamir, Sivan Sabato, Naftali Tishby
Learning and generalization with the information bottleneck. Theor. Comput. Sci. 411 (29-30) (2010)
Sivan Sabato, Nathan Srebro, Naftali Tishby
Tight Sample Complexity of Large-Margin Learning CoRR (2010)
Yevgeny Seldin, Naftali Tishby
PAC-Bayesian Analysis of Co-clustering and Beyond. J. Mach. Learn. Res. 11 (2010)
Sivan Sabato, Nathan Srebro, Naftali Tishby
Reducing Label Complexity by Learning From Bags. AISTATS (2010)
Yevgeny Seldin, Naftali Tishby
PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering. AISTATS (2009)
Ron M. Hecht, Omer Hezroni, Amit Manna, Gil Dobry, Yaniv Zigel, Naftali Tishby
Information bottleneck based age verification. INTERSPEECH (2009)
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) (2009)
Ron M. Hecht, Elad Noor, Naftali Tishby
Speaker recognition by Gaussian information bottleneck. INTERSPEECH (2009)
Sivan Sabato, Naftali Tishby
Homogeneous Multi-Instance Learning with Arbitrary Dependence. COLT (2009)
Eyal Krupka, Naftali Tishby
Generalization from Observed to Unobserved Features by Clustering. J. Mach. Learn. Res. 9 (2008)
Naftali Tishby
Extracting Relevant Information from Samples. ISAIM (2008)
Ohad Shamir, Naftali Tishby
Model Selection and Stability in k-means Clustering. COLT (2008)
Yevgeny Seldin, Naftali Tishby
Multi-classification by categorical features via clustering. ICML (2008)
Ohad Shamir, Sivan Sabato, Naftali Tishby
Learning and Generalization with the Information Bottleneck. ALT (2008)
Ohad Shamir, Naftali Tishby
On the Reliability of Clustering Stability in the Large Sample Regime. NIPS (2008)
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) (2007)
Peter Harremoës, Naftali Tishby
The Information Bottleneck Revisited or How to Choose a Good Distortion Measure. ISIT (2007)
Ohad Shamir, Naftali Tishby
Cluster Stability for Finite Samples. NIPS (2007)
Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby
Euclidean Embedding of Co-occurrence Data. J. Mach. Learn. Res. 8 (2007)
Eyal Krupka, Naftali Tishby
Incorporating Prior Knowledge on Features into Learning. AISTATS (2007)
Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby
Embedding Heterogeneous Data Using Statistical Models. AAAI (2006)
William Bialek, Robert R. de Ruyter van Steveninck, Naftali Tishby
Efficient representation as a design principle for neural coding and computation. ISIT (2006)
Yevgeny Seldin, Noam Slonim, Naftali Tishby
Information Bottleneck for Non Co-Occurrence Data. NIPS (2006)
Noam Slonim, Nir Friedman, Naftali Tishby
Multivariate Information Bottleneck. Neural Comput. 18 (8) (2006)
Ron M. Hecht, Naftali Tishby
Extraction of relevant speech features using the information bottleneck method. INTERSPEECH (2005)
Amir Navot, Ran Gilad-Bachrach, Yiftah Navot, Naftali Tishby
Is Feature Selection Still Necessary? SLSFS (2005)
Amir Navot, Lavi Shpigelman, Naftali Tishby, Eilon Vaadia
Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity. NIPS (2005)
Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss
Information Bottleneck for Gaussian Variables. J. Mach. Learn. Res. 6 (2005)
Eyal Krupka, Naftali Tishby
Generalization in Clustering with Unobserved Features. NIPS (2005)
Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
Query by Committee Made Real. NIPS (2005)
Rivka Adar, Yaakov Benenson, Gregory Linshiz, Amit Rosner, Naftali Tishby, Ehud Shapiro
Stochastic computing with biomolecular automata. Proc. Natl. Acad. Sci. USA 101 (27) (2004)
Amir Globerson, Gal Chechik, Fernando C. N. Pereira, Naftali Tishby
Euclidean Embedding of Co-Occurrence Data. NIPS (2004)
Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
Bayes and Tukey Meet at the Center Point. COLT (2004)
Amir Globerson, Naftali Tishby
The Minimum Information Principle for Discriminative Learning. UAI (2004)
Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
Margin based feature selection - theory and algorithms. ICML (2004)
Gill Bejerano, Nir Friedman, Naftali Tishby
Efficient Exact p-Value Computation for Small Sample, Sparse, and Surprising Categorical Data. J. Comput. Biol. 11 (5) (2004)
Naftali Tishby
Efficient Data Representations That Preserve Information. ALT (2003)
Naftali Tishby
Efficient Data Representations That Preserve Information. Discovery Science (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Naftali Tishby