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23 May 2022
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Ilya Nemenman
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1.
Potential and field singularity at a surface point charge
Alexander Silbergleit
;
Ilya Mandel
;
Ilya Nemenman
;
12 Jun 2003
/ J. Math. Phys., 44(10):4460-4466, 2003 DOI: 10.1063/1.1605497
2.
On the interaction of point charges in an arbitrary domain
Alexander Silbergleit
;
Ilya Nemenman
;
Ilya Mandel
;
17 May 2001
/ Tech. Phys. 48 (2), pp.146-151, 2003
3.
Genome-wide discovery of modulators of transcriptional interactions in human B lymphocytes
Kai Wang
;
Ilya Nemenman
;
Nilanjana Banerjee
;
Andrea Califano
;
15 Oct 2005
4.
ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context
Adam A. Margolin
;
Ilya Nemenman
;
Katia Basso
;
Ulf Klein
;
Chris Wiggins
;
Gustavo Stolovitzky
;
Riccardo Dalla Favera
;
Andrea Califano
;
28 Oct 2004
5.
On The Reconstruction of Interaction Networks with Applications to Transcriptional Regulation
Adam A. Margolin
;
Ilya Nemenman
;
Chris Wiggins
;
Gustavo Stolovitzky
;
Andrea Califano
;
28 Oct 2004
6.
Information theory, multivariate dependence, and genetic network inference
Ilya Nemenman
;
7 Jun 2004
7.
Fluctuation-dissipation theorem and models of learning
Ilya Nemenman
;
12 Feb 2004
/ Neural Comp. 17 (9): 2006-2033 SEP 2005
8.
Entropy and information in neural spike trains: Progress on the sampling problem
Ilya Nemenman
;
William Bialek
;
Rob de Ruyter van Steveninck
;
7 Jun 2003
/ Phys. Rev. E 69, 056111 (2004) DOI: 10.1103/PhysRevE.69.056111
9.
Inference of entropies of discrete random variables with unknown cardinalities
Ilya Nemenman
;
2 Jul 2002
10.
Inference of entropies of discrete random variables with unknown cardinalities
Ilya Nemenman
;
2 Jul 2002
11.
Process Pathway Inference via Time Series Analysis
Chris Wiggins
;
Ilya Nemenman
;
12 Jun 2002
/ Experim. Mech., 43(3), 2003
12.
Entropy and inference, revisited
Ilya Nemenman
;
Fariel Shafee
;
William Bialek
;
15 Aug 2001
/ Advances in Neural Information Processing Systems 14, 2002. MIT Press
13.
Information theory and learning: a physical approach
Ilya Nemenman
;
9 Sep 2000
14.
Predictability, complexity and learning
William Bialek
;
Ilya Nemenman
;
Naftali Tishby
;
20 Jul 2000
/ Neural Computation 13, 2409-2463 (2001)
15.
Occam factors and model-independent Bayesian learning of continuous distributions
Ilya Nemenman
;
William Bialek
;
12 Sep 2000
/ Phys. Rev. E, 65 (2), 2002 DOI: 10.1103/PhysRevE.65.026137
16.
Explicit Green's Function of a Boundary Value Problem for a Sphere and Trapped Flux Analysis in Gravity Probe B Experiment
I. M. Nemenman
;
A. S. Silbergleit
;
14 Dec 1998
/ J. Appl. Phys., Vol.86, No.1, pp.614-624
17.
Latent dynamical variables produce signatures of spatiotemporal criticality in large biological systems
Mia C. Morrell
;
Audrey J. Sederberg
;
Ilya Nemenman
;
11 Aug 2020
18.
Unsupervised Bayesian Ising Approximation for revealing the neural dictionary in songbirds
Damián G. Hernández
;
Samuel J. Sober
;
Ilya Nemenman
;
19 Nov 2019
19.
Physical limit to concentration sensing in a changing environment
Thierry Mora
;
Ilya Nemenman
;
12 Aug 2019
20.
Universal properties of concentration sensing in large ligand-receptor networks
Vijay Singh
;
Ilya Nemenman
;
21 Jun 2019
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