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Ido Kanter
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Journal Articles
- 2024
- [j9]Elena Agliari, Francesco Alemanno
, Miriam Aquaro, Adriano Barra, Fabrizio Durante
, Ido Kanter:
Hebbian dreaming for small datasets. Neural Networks 173: 106174 (2024) - 2014
- [j8]Amir Goldental, Shoshana Guberman, Roni Vardi, Ido Kanter:
A computational paradigm for dynamic logic-gates in neuronal activity. Frontiers Comput. Neurosci. 8: 52 (2014) - 2010
- [j7]Noam Ordan, Victoria Itskovich, Miriam Shlesinger, Ido Kanter:
Lexical Richness Revisited: Blueprint for a More Economical Measure. J. Quant. Linguistics 17(1): 55-67 (2010) - 2008
- [j6]Ori Shental, Noam Shental, Shlomo Shamai
, Ido Kanter, Anthony J. Weiss, Yair Weiss:
Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statistical Mechanics. IEEE Trans. Inf. Theory 54(4): 1500-1513 (2008) - 2006
- [j5]Ori Shental, Ido Kanter, Anthony J. Weiss:
Capacity of complexity-constrained noise-free CDMA. IEEE Commun. Lett. 10(1): 10-12 (2006) - [j4]Ido Kanter, Haggai Kfir, Brenda Malkiel, Miriam Shlesinger:
Identifying universals of text translation. J. Quant. Linguistics 13(1): 35-43 (2006) - [j3]Or Zuk, Eytan Domany, Ido Kanter, Michael Aizenman
:
From Finite-System Entropy to Entropy Rate for a Hidden Markov Process. IEEE Signal Process. Lett. 13(9): 517-520 (2006) - 2003
- [j2]Avner Priel
, Ido Kanter:
Time Series Generation by Recurrent Neural Networks. Ann. Math. Artif. Intell. 39(3): 315-332 (2003) - 1995
- [j1]Marcelo Blatt, Eytan Domany, Ido Kanter:
On the equivalence of two-layered perceptrons with binary neurons. Int. J. Neural Syst. 6(3): 225-231 (1995)
Conference and Workshop Papers
- 2006
- [c7]Or Zuk, Eytan Domany, Ido Kanter, Michael Aizenman
:
Taylor series expansions for the entropy rate of Hidden Markov Processes. ICC 2006: 1598-1604 - 2005
- [c6]Or Zuk, Ido Kanter, Eytan Domany:
Asymptotics of the Entropy Rate for a Hidden Markov Process. DCC 2005: 173-182 - 2004
- [c5]Rachel Mislovaty, Einat Klein, Ido Kanter, Wolfgang Kinzel:
Security of neural cryptography. ICECS 2004: 219-221 - [c4]Haggai Kfir, Ido Kanter:
Efficient LDPC codes for joint source-channel coding. ICECS 2004: 654-657 - [c3]Einat Klein, Rachel Mislovaty, Ido Kanter, Andreas Ruttor, Wolfgang Kinzel:
Synchronization of neural networks by mutual learning and its application to cryptography. NIPS 2004: 689-696 - 1997
- [c2]Avner Priel, Ido Kanter, David A. Kessler:
Analytical Study of the Interplay between Architecture and Predictability. NIPS 1997: 315-321 - 1990
- [c1]Yann LeCun, Ido Kanter, Sara A. Solla:
Second Order Properties of Error Surfaces. NIPS 1990: 918-924
Informal and Other Publications
- 2023
- [i19]Yuval Meir, Yarden Tzach, Ronit D. Gross, Ofek Tevet, Roni Vardi, Ido Kanter:
Enhancing the success rates by performing pooling decisions adjacent to the output layer. CoRR abs/2303.05800 (2023) - [i18]Yarden Tzach, Yuval Meir, Ofek Tevet, Ronit D. Gross, Shiri Hodassman, Roni Vardi, Ido Kanter:
The mechanism underlying successful deep learning. CoRR abs/2305.18078 (2023) - [i17]Yuval Meir, Yarden Tzach, Shiri Hodassman, Ofek Tevet, Ido Kanter:
Universality of underlying mechanism for successful deep learning. CoRR abs/2309.07537 (2023) - 2022
- [i16]Francesco Alemanno, Miriam Aquaro, Ido Kanter, Adriano Barra, Elena Agliari:
Supervised Hebbian learning: toward eXplainable AI. CoRR abs/2203.01304 (2022) - [i15]Shiri Hodassman, Yuval Meir, Karin Kisos, Itamar Ben-Noam, Yael Tugendhaft, Amir Goldental, Roni Vardi, Ido Kanter:
Brain inspired neuronal silencing mechanism to enable reliable sequence identification. CoRR abs/2203.13028 (2022) - [i14]Yuval Meir, Shira Sardi, Shiri Hodassman, Karin Kisos, Itamar Ben-Noam, Amir Goldental, Ido Kanter:
Power-law Scaling to Assist with Key Challenges in Artificial Intelligence. CoRR abs/2211.08430 (2022) - [i13]Yuval Meir, Ofek Tevet, Yarden Tzach, Shiri Hodassman, Ronit D. Gross, Ido Kanter:
Efficient shallow learning as an alternative to deep learning. CoRR abs/2211.11106 (2022) - [i12]Yuval Meir, Itamar Ben-Noam, Yarden Tzach, Shiri Hodassman, Ido Kanter:
Learning on tree architectures outperforms a convolutional feedforward network. CoRR abs/2211.11378 (2022) - 2010
- [i11]Hadar Efraim, Nadav Yacov, Ori Shental, Ido Kanter:
An efficient CDMA decoder for correlated information sources. CoRR abs/1001.5135 (2010) - 2008
- [i10]Ori Shental, Ido Kanter:
Shannon Meets Carnot: Mutual Information Via Thermodynamics. CoRR abs/0806.3133 (2008) - [i9]Ido Kanter, Ori Shental, Hadar Efraim, Nadav Yacov:
Carnot in the Information Age: Discrete Symmetric Channels. CoRR abs/0807.4322 (2008) - 2006
- [i8]Einat Klein, Noam Gross, Evi Kopelowitz, Michael Rosenbluh, Lev Khaykovich, Wolfgang Kinzel, Ido Kanter:
Public-channel cryptography based on mutual chaos pass filters. CoRR abs/cond-mat/0604569 (2006) - [i7]Ori Shental, Ido Kanter:
Optimum Asymptotic Multiuser Efficiency of Pseudo-Orthogonal Randomly Spread CDMA. CoRR abs/cs/0604083 (2006) - [i6]Nadav Yacov, Hadar Efraim, Haggai Kfir, Ido Kanter, Ori Shental:
Parallel vs. Sequential Belief Propagation Decoding of LDPC Codes over GF(q) and Markov Sources. CoRR abs/cs/0605069 (2006) - 2005
- [i5]Or Zuk, Ido Kanter, Eytan Domany:
The Entropy of a Binary Hidden Markov Process. CoRR abs/cs/0507060 (2005) - [i4]Ori Shental, Ido Kanter, Anthony J. Weiss:
Capacity of Complexity-Constrained Noise-Free CDMA. CoRR abs/cs/0509048 (2005) - [i3]Ori Shental, Ido Kanter, Anthony J. Weiss:
On the Achievable Information Rates of CDMA Downlink with Trivial Receivers. CoRR abs/cs/0509049 (2005) - [i2]Or Zuk, Eytan Domany, Ido Kanter, Michael Aizenman:
Taylor series expansions for the entropy rate of Hidden Markov Processes. CoRR abs/cs/0510005 (2005) - [i1]Or Zuk, Eytan Domany, Ido Kanter, Michael Aizenman:
From finite-system entropy to entropy rate for a Hidden Markov Process. CoRR abs/cs/0510016 (2005)
Coauthor Index
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