Rahnama Rad, Kamiar
Rahnama Rad, Kamiar
Baruch College, CUNY
Email verificata su baruch.cuny.edu
Citata da
Citata da
A new look at state-space models for neural data
L Paninski, Y Ahmadian, DG Ferreira, S Koyama, K Rahnama Rad, ...
Journal of computational neuroscience 29 (1-2), 107-126, 2010
Distributed parameter estimation in networks
K Rahnama Rad, A Tahbaz-Salehi
49th IEEE Conference on Decision and Control (CDC), 5050-5055, 2010
Mean-field approximations for coupled populations of generalized linear model spiking neurons with Markov refractoriness
T Toyoizumi, K Rahnama Rad, L Paninski
Neural computation 21 (5), 1203-1243, 2009
Nearly sharp sufficient conditions on exact sparsity pattern recovery
K Rahnama Rad
IEEE Transactions on Information Theory 57 (7), 4672-4679, 2011
Efficient, adaptive estimation of two-dimensional firing rate surfaces via Gaussian process methods
K Rahnama Rad, L Paninski
Network: Computation in Neural Systems 21 (3-4), 142-168, 2010
Reaching consensus with increasing information
P Molavi, A Jadbabaie, K Rahnama Rad, A Tahbaz-Salehi
IEEE Journal of Selected Topics in Signal Processing 7 (2), 358-369, 2013
Fast Kalman filtering and forward–backward smoothing via a low-rank perturbative approach
EA Pnevmatikakis, K Rahnama Rad, J Huggins, L Paninski
Journal of Computational and Graphical Statistics 23 (2), 316-339, 2014
Information rates and optimal decoding in large neural populations
K Rahnama Rad, L Paninski
Advances in neural information processing systems, 846-854, 2011
A scalable estimate of the out-of-sample prediction error via approximate leave-one-out
KR Rad, A Maleki
arXiv preprint arXiv:1801.10243, 2019
Sparse superposition codes for Gaussian vector quantization
I Kontoyiannis, K Rahnama Rad, S Gitzenis
2010 IEEE Information Theory Workshop on Information Theory (ITW 2010, Cairo …, 2010
Consistent risk estimation in high-dimensional linear regression
J Xu, A Maleki, K Rahnama Rad, D Hsu
arXiv preprint arXiv:1902.01753, 2019
Robust particle filters via sequential pairwise reparameterized Gibbs sampling
L Paninski, K Rahnama Rad, M Vidne
2012 46th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2012
Robust and scalable Bayesian analysis of spatial neural tuning function data
K Rahnama Rad, TA Machado, L Paninski
The Annals of Applied Statistics 11 (2), 598-637, 2017
Iterative detection for V-BLAST MIMO communication systems based on expectation maximisation algorithm
K Rahnama Rad, M Nasiri-Kenari
Electronics Letters 40 (11), 684-685, 2004
Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions
KR Rad, W Zhou, A Maleki
arXiv preprint arXiv:2003.01770, 2020
Approximate leave-one-out cross-validation for nonparametric Bayesian Gaussian Process methods with applications to neural data
K Rahnama Rad
Numerical Computations: Theory and Algorithms NUMTA 2019, 96, 2019
Methods for neural circuit inference from population calcium imaging data
L Paninski, Y Mishchenko, A Packer, K Rahnama Rad
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–17