Emiliano Torre

ETH Zurich — Switzerland

Neuroscience · Life Sciences

10h-index562citations33works0.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Neural dynamics and brain function(10), Gene Regulatory Network Analysis(5), Probabilistic and Robust Engineering Design(4), Neuroscience and Neural Engineering(4), Neural Networks and Applications(3)

Publications33 total

Statistical Evaluation of Spatio-temporal Spike Patterns
Encyclopedia of Computational Neuroscience·2022
Statistical Evaluation of Spatio-temporal Spike Patterns
Encyclopedia of Computational Neuroscience·2020· 1 cited
3d-SPADE: Significance evaluation of spatio-temporal patterns of various temporal extents
Biosystems·2019· 21 citedOpen Access
Vine copulas for uncertainty quantification: why and how
Repository for Publications and Research Data (ETH Zurich)·2019Open Access
Representation and Inference of Complex dependencies through copulas in UQLab
Repository for Publications and Research Data (ETH Zurich)·2019Open Access
Surrogate modelling meets machine learning
Repository for Publications and Research Data (ETH Zurich)·2019· 1 citedOpen Access
Data-driven polynomial chaos expansion for machine learning regression
Journal of Computational Physics·2019· 152 citedOpen Access
Data-driven regression and uncertainty quantification by polynomial chaos expansions and vine copulas
Repository for Publications and Research Data (ETH Zurich)·2018Open Access
A general framework for data-driven uncertainty quantification under complex input dependencies using vine copulas
Probabilistic Engineering Mechanics·2018· 113 citedOpen Access
Data-driven polynomial chaos expansions for machine learning regression
HAL (Le Centre pour la Communication Scientifique Directe)·2018Open Access
Maximum-entropy and representative samples of neuronal activity: a dilemma
2018Open Access
Maximum-entropy and representative samples of neuronal activity: a dilemma
2018Open Access
Maximum-entropy and representative samples of neuronal activity: a dilemma
arXiv (Cornell University)·2018Open Access
Methods for identification of spike patterns in massively parallel spike trains
Biological Cybernetics·2018· 29 citedOpen Access
A general framework for data-driven uncertainty quantification under complex input dependencies using vine copulas
arXiv (Cornell University)·2017Open Access
A general framework for uncertainty quantification under non-Gaussian input dependencies
arXiv (Cornell University)·2017· 3 citedOpen Access
Vine copula modeling of high-dimensional inputs in uncertainty quantification problems
Repository for Publications and Research Data (ETH Zurich)·2017Open Access
Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE
Frontiers in Computational Neuroscience·2017· 42 citedOpen Access
SPADE: Spike Pattern Detection and Evaluation in Massively ParallelSpike Trains
2017
Behavior specific spike patterns in macaque motor cortex during an instructed-delay reach-to-grasp task
German Neuroinformatics Node·2016Open Access
page 1 of 2Next →

Frequent Co-authors

Sonja Grün(14), Stefano Marelli(10), Bruno Sudret(10), Pietro Quaglio(10), Paul Embrechts(8), Michael Denker(6), Vahid Rostami(5), PierGianLuca Porta Mana(4), Thomas Brochier(3), Alexa Riehle(3), Alper Yegenoglu(3), Dominik Endres(3), Alessandra Stella(3), Laura Sacerdote(3), Yasser Roudi(3), George L. Gerstein(2), Moritz Helias(2), Enrico Bibbona(2), David Picado-Muiño(1), Christian Borgelt(1)