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Rahnama Rad, Kamiar
Rahnama Rad, Kamiar
Baruch College, CUNY
Verified email at baruch.cuny.edu
Title
Cited by
Cited by
Year
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
2302010
Distributed parameter estimation in networks
K Rahnama Rad, A Tahbaz-Salehi
49th IEEE Conference on Decision and Control (CDC), 5050-5055, 2010
812010
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
542009
Nearly sharp sufficient conditions on exact sparsity pattern recovery
K Rahnama Rad
IEEE Transactions on Information Theory 57 (7), 4672-4679, 2011
53*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
412010
A scalable estimate of the out‐of‐sample prediction error via approximate leave‐one‐out cross‐validation
KR Rad, A Maleki
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2020
39*2020
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
33*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
322014
Information rates and optimal decoding in large neural populations
K Rahnama Rad, L Paninski
Advances in neural information processing systems, 846-854, 2011
23*2011
Consistent risk estimation in high-dimensional linear regression
J Xu, A Maleki, K Rahnama Rad, D Hsu
arXiv preprint arXiv:1902.01753, 2019
18*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
122010
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
International Conference on Artificial Intelligence and Statistics, 4067-4077, 2020
82020
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
52012
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
42017
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
32004
Fast Kalman Filtering and Forward-Backward Smoothing via a Low-Rank Perturbative Approach (vol 23, pg 316, 209)
EA Pnevmatikakis, K Rahnama Rad, J Huggins, L Paninski
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS 28 (4), 1017-1017, 2019
2019
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