Nina Kudryashova

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Pair-copula constructions of multiple dependence 2007 Kjersti Aas
Claudia Czado
Arnoldo Frigessi
Henrik Bakken
3
+ PDF Chat A Tractable Method for Describing Complex Couplings between Neurons and Population Rate 2016 Christophe Gardella
Olivier Marre
Thierry Mora
3
+ PDF Chat The simplest maximum entropy model for collective behavior in a neural network 2013 Gašper Tkačik
Olivier Marre
Thierry Mora
Dario Amodei
Michael J. Berry
William Bialek
3
+ PDF Chat Inference of a Mesoscopic Population Model from Population Spike Trains 2020 Alexandre René
André Longtin
Jakob H. Macke
2
+ A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons 2020 Gabriel Mahuas
Giulio Isacchini
Olivier Marre
Ulisse Ferrari
Thierry Mora
2
+ PDF Chat Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships 2022 Nina Kudryashova
Theoklitos Amvrosiadis
Nathalie Dupuy
Nathalie L. Rochefort
Arno Onken
2
+ Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE 2020 Ding Zhou
Xue-Xin Wei
2
+ Interpretable Nonlinear Dynamic Modeling of Neural Trajectories 2016 Yuan Zhao
Il Memming Park
2
+ PDF Chat Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains 2017 Yuan Zhao
Il Memming Park
2
+ PDF Chat A state space approach for piecewise-linear recurrent neural networks for identifying computational dynamics from neural measurements 2017 Daniel Durstewitz
2
+ PDF Chat Belief propagation and replicas for inference and learning in a kinetic Ising model with hidden spins 2015 Claudia Battistin
John Hertz
Joanna Tyrcha
Yasser Roudi
2
+ A Point Process Framework for Relating Neural Spiking Activity to Spiking History, Neural Ensemble, and Extrinsic Covariate Effects 2004 Wilson Truccolo
Uri T. Eden
Matthew Fellows
John P. Donoghue
Emery N. Brown
2
+ PDF Chat Weak pairwise correlations imply strongly correlated network states in a neural population 2006 Elad Schneidman
Michael J. Berry
Ronen Segev
William Bialek
2
+ PDF Chat Correlations and Functional Connections in a Population of Grid Cells 2015 Benjamin Dunn
Maria Mørreaunet
Yasser Roudi
2
+ PDF Chat Stimulus-dependent Maximum Entropy Models of Neural Population Codes 2013 Einat Granot-Atedgi
Gašper Tkačik
Ronen Segev
Elad Schneidman
2
+ PDF Chat Scaling Spike Detection and Sorting for Next-Generation Electrophysiology 2019 Matthias H. Hennig
Cole Hurwitz
Martino Sorbaro
2
+ PDF Chat Dimensionality Reduction on Spatio-Temporal Maximum Entropy Models of Spiking Networks 2018 Rubén Herzog
María-José Escobar
Rodrigo Cofré
Adrián G. Palacios
Bruno Cessac
1
+ PDF Chat Information estimation using nonparametric copulas 2018 Houman Safaai
Arno Onken
Christopher D. Harvey
Stefano Panzeri
1
+ GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration 2018 Jacob R. Gardner
Geoff Pleiss
David Bindel
Kilian Q. Weinberger
Andrew Gordon Wilson
1
+ PDF Chat Predicting how and when hidden neurons skew measured synaptic interactions 2018 Braden A. W. Brinkman
Fred Rieke
Eric Shea‐Brown
Michael A. Buice
1
+ PDF Chat Estimation of mutual information for real-valued data with error bars and controlled bias 2019 Caroline M. Holmes
Ilya Nemenman
1
+ LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations 2019 Brian L. Trippe
Jonathan H. Huggins
Raj Agrawal
Tamara Broderick
1
+ PDF Chat Estimation of mutual information for real-valued data with error bars and controlled bias 2019 Caroline M. Holmes
Ilya Nemenman
1
+ Gaussian Process Vine Copulas for Multivariate Dependence 2013 David Lopez‐Paz
Jose Miguel Hern ndez-Lobato
Zoubin Ghahramani
1
+ Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks 2019 Qi She
Anqi Wu
1
+ PDF Chat Artificial intelligence and statistics 2018 Bin Yu
Karl Kumbier
1
+ Linear dynamical neural population models through nonlinear embeddings 2016 Yuanjun Gao
Evan Archer
Liam Paninski
John P. Cunningham
1
+ PDF Chat Demystifying fixed k-nearest neighbor information estimators 2017 Weihao Gao
Sewoong Oh
Pramod Viswanath
1
+ Understanding the Limitations of Variational Mutual Information Estimators 2019 Jiaming Song
Stefano Ermon
1
+ PDF Chat A Semiparametric Bayesian Model for Detecting Synchrony Among Multiple Neurons 2014 Babak Shahbaba
Bo Zhou
Shiwei Lan
Hernando Ombao
David E. Moorman
Sam Behseta
1
+ PDF Chat An information-theoretic approach to statistical dependence: Copula information 2009 Rafael S. Calsaverini
Renato Vicente
1
+ PDF Chat Building population models for large-scale neural recordings: Opportunities and pitfalls 2021 Cole Hurwitz
Nina Kudryashova
Arno Onken
Matthias H. Hennig
1
+ Dependence Modeling with Copulas 2014 Harry Joe
1
+ Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships 2020 Nina Kudryashova
Theoklitos Amvrosiadis
Nathalie Dupuy
Nathalie L. Rochefort
Arno Onken
1
+ LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations 2019 Brian L. Trippe
Jonathan H. Huggins
Raj Agrawal
Tamara Broderick
1
+ Asymptotic efficiency of the two-stage estimation method for copula-based models 2004 Harry Joe
1
+ PDF Chat On the simplified pair-copula construction — Simply useful or too simplistic? 2009 Ingrid Hobæk Haff
Kjersti Aas
Arnoldo Frigessi
1
+ Vines--a new graphical model for dependent random variables 2002 Tim Bedford
Roger Cooke
1
+ Beyond simplified pair-copula constructions 2012 Elif F. Acar
Christian Genest
Johanna Nešlehová
1
+ PDF Chat Estimating mutual information 2004 Alexander Kraskov
Harald Stögbauer
Peter Grassberger
1
+ A widely applicable Bayesian information criterion 2013 Sumio Watanabe
1
+ An Introduction to Copulas 1999 Roger B. Nelsen
1
+ PDF Chat Understanding predictive information criteria for Bayesian models 2013 Andrew Gelman
Jessica Hwang
Aki Vehtari
1
+ Pair-Copula Constructions of Multivariate Copulas 2010 Claudia Czado
1
+ A fast and objective multidimensional kernel density estimation method: fastKDE 2016 Travis O’Brien
Karthik Kashinath
Nicholas R. Cavanaugh
William D. Collins
John P. OʼBrien
1
+ PDF Chat Maximum likelihood estimation of mixed C-vines with application to exchange rates 2012 Claudia Czado
Ulf Schepsmeier
Aleksey Min
1
+ Demixed principal component analysis of neural population data 2016 Dmitry Kobak
Wieland Brendel
Christos Constantinidis
Claudia E. Feierstein
Ádám Kepecs
Zachary F. Mainen
Xue-Lian Qi
Ranulfo Romo
Naoshige Uchida
Christian K. Machens
1
+ Linear dynamical neural population models through nonlinear embeddings 2016 Yuanjun Gao
Evan Archer
Liam Paninski
John P. Cunningham
1
+ Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas 2016 Thomas Nagler
Claudia Czado
1
+ Artificial Intelligence and Statistics 2017 Bin Yu
Karl Kumbier
1