Second Order Properties of Error Surfaces. - Yann LeCun; Ido Kanter; Sara A. Solla (NIPS, 1990)

On the equivalence of two-layered perceptrons with binary neurons. - Marcelo Blatt; Eytan Domany; Ido Kanter (Int. J. Neural Syst., 1995)

Analytical Study of the Interplay between Architecture and Predictability. - Avner Priel; Ido Kanter; David A. Kessler (NIPS, 1997)

Time Series Generation by Recurrent Neural Networks. - Avner Priel; Ido Kanter (Ann. Math. Artif. Intell., 2003)

Efficient LDPC codes for joint source-channel coding. - Haggai Kfir; Ido Kanter (ICECS, 2004)

Security of neural cryptography. - Rachel Mislovaty; Einat Klein; Ido Kanter; Wolfgang Kinzel (ICECS, 2004)

Synchronization of neural networks by mutual learning and its application to cryptography. - Einat Klein; Rachel Mislovaty; Ido Kanter; Andreas Ruttor; Wolfgang Kinzel (NIPS, 2004)

Asymptotics of the Entropy Rate for a Hidden Markov Process. - Or Zuk; Ido Kanter; Eytan Domany (DCC, 2005)

The Entropy of a Binary Hidden Markov Process - Or Zuk; Ido Kanter; Eytan Domany (CoRR, 2005)

On the Achievable Information Rates of CDMA Downlink with Trivial Receivers - Ori Shental; Ido Kanter; Anthony J. Weiss (CoRR, 2005)

Taylor series expansions for the entropy rate of Hidden Markov Processes. - Or Zuk; Eytan Domany; Ido Kanter; Michael Aizenman (ICC, 2006)

Public-channel cryptography based on mutual chaos pass filters - Einat Klein; Noam Gross; Evi Kopelowitz; Michael Rosenbluh; Lev Khaykovich; Wolfgang Kinzel; Ido Kanter (CoRR, 2006)

Optimum Asymptotic Multiuser Efficiency of Pseudo-Orthogonal Randomly Spread CDMA - Ori Shental; Ido Kanter (CoRR, 2006)

Parallel vs. Sequential Belief Propagation Decoding of LDPC Codes over GF(q) and Markov Sources - Nadav Yacov; Hadar Efraim; Haggai Kfir; Ido Kanter; Ori Shental (CoRR, 2006)

Capacity of complexity-constrained noise-free CDMA. - Ori Shental; Ido Kanter; Anthony J. Weiss (IEEE Commun. Lett., 2006)

Identifying universals of text translation. - Ido Kanter; Haggai Kfir; Brenda Malkiel; Miriam Shlesinger (J. Quant. Linguistics, 2006)

From Finite-System Entropy to Entropy Rate for a Hidden Markov Process. - Or Zuk; Eytan Domany; Ido Kanter; Michael Aizenman (IEEE Signal Process. Lett., 2006)

Shannon Meets Carnot: Mutual Information Via Thermodynamics - Ori Shental; Ido Kanter (CoRR, 2008)

Carnot in the Information Age: Discrete Symmetric Channels - Ido Kanter; Ori Shental; Hadar Efraim; Nadav Yacov (CoRR, 2008)

Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statistical Mechanics. - Ori Shental; Noam Shental; Shlomo Shamai; Ido Kanter; Anthony J. Weiss; Yair Weiss (IEEE Trans. Inf. Theory, 2008)

An efficient CDMA decoder for correlated information sources - Hadar Efraim; Nadav Yacov; Ori Shental; Ido Kanter (CoRR, 2010)

Lexical Richness Revisited: Blueprint for a More Economical Measure. - Noam Ordan; Victoria Itskovich; Miriam Shlesinger; Ido Kanter (J. Quant. Linguistics, 2010)

A computational paradigm for dynamic logic-gates in neuronal activity. - Amir Goldental; Shoshana Guberman; Roni Vardi; Ido Kanter (Frontiers Comput. Neurosci., 2014)

Supervised Hebbian learning: toward eXplainable AI. - Francesco Alemanno; Miriam Aquaro; Ido Kanter; Adriano Barra; Elena Agliari (CoRR, 2022)

Brain inspired neuronal silencing mechanism to enable reliable sequence identification. - Shiri Hodassman; Yuval Meir; Karin Kisos; Itamar Ben-Noam; Yael Tugendhaft; Amir Goldental; Roni Vardi; Ido Kanter (CoRR, 2022)

Power-law Scaling to Assist with Key Challenges in Artificial Intelligence. - Yuval Meir; Shira Sardi; Shiri Hodassman; Karin Kisos; Itamar Ben-Noam; Amir Goldental; Ido Kanter (CoRR, 2022)

Efficient shallow learning as an alternative to deep learning. - Yuval Meir; Ofek Tevet; Yarden Tzach; Shiri Hodassman; Ronit D. Gross; Ido Kanter (CoRR, 2022)

Learning on tree architectures outperforms a convolutional feedforward network. - Yuval Meir; Itamar Ben-Noam; Yarden Tzach; Shiri Hodassman; Ido Kanter (CoRR, 2022)

Enhancing the success rates by performing pooling decisions adjacent to the output layer. - Yuval Meir; Yarden Tzach; Ronit D. Gross; Ofek Tevet; Roni Vardi; Ido Kanter (CoRR, 2023)

The mechanism underlying successful deep learning. - Yarden Tzach; Yuval Meir; Ofek Tevet; Ronit D. Gross; Shiri Hodassman; Roni Vardi; Ido Kanter (CoRR, 2023)

Universality of underlying mechanism for successful deep learning. - Yuval Meir; Yarden Tzach; Shiri Hodassman; Ofek Tevet; Ido Kanter (CoRR, 2023)

Role of Delay in Brain Dynamics. - Yuval Meir; Ofek Tevet; Yarden Tzach; Shiri Hodassman; Ido Kanter (CoRR, 2024)

Hebbian dreaming for small datasets. - Elena Agliari; Francesco Alemanno; Miriam Aquaro; Adriano Barra; Fabrizio Durante; Ido Kanter (Neural Networks, 2024)

Advanced deep architecture pruning using single filter performance. - Yarden Tzach; Yuval Meir; Ronit D. Gross; Ofek Tevet; Ella Koresh; Ido Kanter (CoRR, 2025)

Unified CNNs and transformers underlying learning mechanism reveals multi-head attention modus vivendi. - Ella Koresh; Ronit D. Gross; Yuval Meir; Yarden Tzach; Tal Halevi; Ido Kanter (CoRR, 2025)

Low-latency vision transformers via large-scale multi-head attention. - Ronit D. Gross; Tal Halevi; Ella Koresh; Yarden Tzach; Ido Kanter (CoRR, 2025)

Tiny language models. - Ronit D. Gross; Yarden Tzach; Tal Halevi; Ella Koresh; Ido Kanter (CoRR, 2025)