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Author Information
Siwei Lyu (University at Albany SUNY)
Eero Simoncelli (FlatIron Institute / New York University)
Eero P. Simoncelli received the B.S. degree in Physics in 1984 from Harvard University, studied applied mathematics at Cambridge University for a year and a half, and then received the M.S. degree in 1988 and the Ph.D. degree in 1993, both in Electrical Engineering from the Massachusetts Institute of Technology. He was an Assistant Professor in the Computer and Information Science department at the University of Pennsylvania from 1993 until 1996. He moved to New York University in September of 1996, where he is currently a Professor in Neural Science, Mathematics, and Psychology. In August 2000, he became an Associate Investigator of the Howard Hughes Medical Institute, under their new program in Computational Biology. His research interests span a wide range of topics in the representation and analysis of visual images, in both machine and biological systems.
More from the Same Authors
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2020 Poster: Learning efficient task-dependent representations with synaptic plasticity »
Colin Bredenberg · Eero Simoncelli · Cristina Savin -
2019 Poster: Flexible information routing in neural populations through stochastic comodulation »
Caroline Haimerl · Cristina Savin · Eero Simoncelli -
2017 Poster: Eigen-Distortions of Hierarchical Representations »
Alexander Berardino · Valero Laparra · Johannes BallĂ© · Eero Simoncelli -
2017 Oral: Eigen-Distortions of Hierarchical Representations »
Alexander Berardino · Valero Laparra · Johannes BallĂ© · Eero Simoncelli -
2016 Poster: Stochastic Online AUC Maximization »
Yiming Ying · Longyin Wen · Siwei Lyu -
2016 Oral: Stochastic Online AUC Maximization »
Yiming Ying · Longyin Wen · Siwei Lyu -
2012 Poster: Efficient and direct estimation of a neural subunit model for sensory coding »
Brett Vintch · Andrew Zaharia · J Movshon · Eero Simoncelli -
2012 Poster: Hierarchical spike coding of sound »
yan karklin · Chaitanya Ekanadham · Eero Simoncelli -
2012 Spotlight: Hierarchical spike coding of sound »
yan karklin · Chaitanya Ekanadham · Eero Simoncelli -
2012 Poster: Learning with Target Prior »
Zuoguan Wang · Siwei Lyu · Gerwin Schalk · Qiang Ji -
2011 Poster: Efficient coding with a population of Linear-Nonlinear neurons »
yan karklin · Eero Simoncelli -
2011 Poster: A blind sparse deconvolution method for neural spike identification »
Chaitanya Ekanadham · Daniel Tranchina · Eero Simoncelli -
2011 Spotlight: A blind sparse deconvolution method for neural spike identification »
Chaitanya Ekanadham · Daniel Tranchina · Eero Simoncelli -
2011 Poster: Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction »
Siwei Lyu -
2010 Poster: Implicit encoding of prior probabilities in optimal neural populations »
Deep Ganguli · Eero Simoncelli -
2010 Poster: Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform »
Siwei Lyu -
2009 Poster: Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions »
Fabian H Sinz · Eero Simoncelli · Matthias Bethge -
2008 Oral: Reducing statistical dependencies in natural signals using radial Gaussianization »
Siwei Lyu · Eero Simoncelli -
2008 Poster: Reducing statistical dependencies in natural signals using radial Gaussianization »
Siwei Lyu · Eero Simoncelli -
2008 Tutorial: Statistical Models of Visual Images »
Eero Simoncelli -
2007 Poster: A Bayesian Model of Conditioned Perception »
Alan A Stocker · Eero Simoncelli -
2006 Poster: Learning to be Bayesian without Supervision »
Martin Raphan · Eero Simoncelli