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Portrait photo of Pierre-Etienne Fiquet
Portrait photo of Pierre-Etienne Fiquet

Research Staff

Pierre-Étienne Fiquet, Ph.D.

Flatiron Research Fellow, Center for Computational Neuroscience

Bio

Pierre-Étienne Fiquet is a Flatiron Research Fellow at the Center for Computational Neuroscience. He earned his Ph.D. in Neuroscience in Eero Simoncelli’s lab at New York University. His research focuses on principles of neural computation for dynamic visual processing in biological and in artificial systems. He received an M.S. in cognitive science from École Normale Supérieure (ENS Paris) in 2016.

Publications

Learning a distance measure from the information-estimation geometry of data

International Conference on Learning Representations (ICLR), arXiv:2510.02514, February 26, 2026

Guy Ohayon, Pierre-Étienne Fiquet, Florentin Guth, Jona Ballé, and Eero P. Simoncelli

Video prediction using score-based conditional density estimation

arXiv:2411.00842, October 30, 2024

Pierre-Étienne Fiquet and Eero P. Simoncelli

Visual Temporal Prediction: Representation, Estimation, and Modeling

New York University ProQuest Dissertations & Theses, September 1, 2024

Pierre-Étienne Fiquet

A polar prediction model for learning to represent visual transformations

Advances in Neural Information Processing Systems, 2023

Pierre-Étienne Fiquet and Eero P. Simoncelli

Events

2026 Flatiron Wide Autumn Meeting

Conference

November 11–12, 2026

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Eero P. Simoncelli

Director, Center for Computational Neuroscience

John Tian headshot.

John Tian

Flatiron Research Fellow, Center for Computational Neuroscience

Center for Computational Neuroscience

Understanding the human brain is one of the greatest and most challenging scientific frontiers of our time. CCN’s mission is to develop models, principles and conceptual frameworks that deepen our knowledge of brain function — both in health and in disease.

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