Ilya Nemenman
Molecular Biology · 2000–2015
A researcher in the Science corpus: 8 papers; trusts 15 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 47 citations into it; #1,624 of 17,773 by trust here, #7,205 by citations
- Artificial Intelligence — 18 citations into it; #11,326 of 35,345 by trust here, #18,186 by citations
- Information Theory — 13 citations into it
- Genetics — 12 citations into it; #736 of 6,854 by trust here, #4,505 by citations
- Probabilistic & Bayesian Methods — 10 citations into it
- Scaling & Learning Theory — 6 citations into it
Whom Ilya Nemenman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David John Cameron MacKay
- Jorma Rissanen
- Michael D. Schmidt
- Eric R. Ziegel
- James P. Crutchfield
- Yuhai Wu
- Bryan C. Daniels
- David Haussler
- Nikos K. Logothetis
- Atul J. Butte
Who trusts Ilya Nemenman overall
- Maizar Raissi
- Le Song
- Alex Smola
- Anne-Florence Bitbol
- Liam Paninski
- Steven L. Brunton
- John Ingraham
- Jiantao Jiao
- Arthur Gretton
- Katerina Hlaváčková-Schindler
Papers from Ilya Nemenman's perspective
Ordered by how strongly the researchers Ilya Nemenman trusts endorse each paper. Same corpus, a different order for every researcher.
- Information Theory: 1948-1998 - Guest Editorial
- Probabilistic reasoning in intelligent systems: Networks of plausible inference
- Generalized Belief Propagation
- Modeling By Shortest Data Description*
- Minimum complexity density estimation
- Stochastic Complexity and Modeling
- The Elements of Statistical Learning
- Information Theory and an Extension of the Maximum Likelihood Principle
- MUTUAL INFORMATION, METRIC ENTROPY AND CUMULATIVE RELATIVE ENTROPY RISK
- Fisher information and stochastic complexity
Their papers
- Predictability, Complexity, and Learning (2000) — 219 citations
- Entropy and Inference, Revisited (2001) — 297 citations
- Reverse engineering cellular networks (2006) — 388 citations
- Automated adaptive inference of phenomenological dynamical models (2015) — 208 citations
- Efficient Inference of Parsimonious Phenomenological Models of Cellular Dynamics Using S-Systems and Alternating Regression (2014) — 102 citations
- Information transduction capacity of noisy biochemical signaling networks (2011) — 517 citations
- The Berry phase and the pump flux in stochastic chemical kinetics (2006) — 121 citations
- ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context (2004) — 2,804 citations