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Amin Nejatbakhsh
Amin Nejatbakhsh
Flatiron Research Fellow, Flatiron Institute
Подтвержден адрес электронной почты в домене flatironinstitute.org - Главная страница
Название
Процитировано
Процитировано
Год
NeuroPAL: a multicolor atlas for whole-brain neuronal identification in C. elegans
E Yemini, A Lin, A Nejatbakhsh, E Varol, R Sun, GE Mena, ADT Samuel, ...
Cell 184 (1), 272-288. e11, 2021
237*2021
Estimating the unique information of continuous variables
A Pakman, A Nejatbakhsh, D Gilboa, A Makkeh, L Mazzucato, M Wibral, ...
Advances in neural information processing systems 34, 20295-20307, 2021
312021
Visualizing the organization and differentiation of the male-specific nervous system of C. elegans
T Tekieli, E Yemini, A Nejatbakhsh, C Wang, E Varol, RW Fernandez, ...
Development 148 (18), dev199687, 2021
202021
Neuron Matching in C. elegans With Robust Approximate Linear Regression Without Correspondence
A Nejatbakhsh, E Varol
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
19*2021
Sinkhorn EM: an expectation-maximization algorithm based on entropic optimal transport
G Mena, A Nejatbakhsh, E Varol, J Niles-Weed
arXiv preprint arXiv:2006.16548, 2020
182020
Statistical Atlas of C. elegans Neurons
E Varol, A Nejatbakhsh, R Sun, G Mena, E Yemini, O Hobert, L Paninski
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
182020
Extracting neural signals from semi-immobilized animals with deformable non-negative matrix factorization
A Nejatbakhsh, E Varol, E Yemini, V Venkatachalam, A Lin, ADT Samuel, ...
bioRxiv, 2020.07. 07.192120, 2020
13*2020
Toward a more accurate 3D atlas of C. elegans neurons
M Skuhersky, T Wu, E Yemini, A Nejatbakhsh, E Boyden, M Tegmark
BMC bioinformatics 23 (1), 195, 2022
102022
Probabilistic Joint Segmentation and Labeling of C. elegans Neurons
A Nejatbakhsh, E Varol, E Yemini, O Hobert, L Paninski
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
92020
Sinkhorn permutation variational marginal inference
G Mena, E Varol, A Nejatbakhsh, E Yemini, L Paninski
Symposium on advances in approximate Bayesian inference, 1-9, 2020
72020
Versatile multiple object tracking in sparse 2D/3D videos via deformable image registration
J Ryu, A Nejatbakhsh, M Torkashvand, S Gangadharan, ...
PLOS Computational Biology 20 (5), e1012075, 2024
4*2024
Estimating noise correlations across continuous conditions with Wishart processes
A Nejatbakhsh, I Garon, A Williams
Advances in Neural Information Processing Systems 36, 2024
42024
Predicting the effect of micro-stimulation on macaque prefrontal activity based on spontaneous circuit dynamics
A Nejatbakhsh, F Fumarola, S Esteki, T Toyoizumi, R Kiani, L Mazzucato
Physical Review Research 5 (4), 043211, 2023
4*2023
Temporal Wasserstein non-negative matrix factorization for non-rigid motion segmentation and spatiotemporal deconvolution
E Varol, A Nejatbakhsh, C McGrory
arXiv preprint arXiv:1912.03463, 2019
32019
HybridBNN: Joint Training of Deterministic and Stochastic Layers in Bayesian Neural Nets
A Nejatbakhsh, J Boussard
Sixth Symposium on Advances in Approximate Bayesian Inference-Non Archival Track, 2024
2024
Disentangling Recurrent Neural Dynamics with Stochastic Representational Geometry
D Lipshutz, A Nejatbakhsh, AH Williams
ICLR 2024 Workshop on Representational Alignment, 2024
2024
Learning Probabilistic Piecewise Rigid Atlases of Model Organisms via Generative Deep Networks
A Nejatbakhsh, N Dey, V Venkatachalam, E Yemini, L Paninski, E Varol
International Conference on Information Processing in Medical Imaging, 332-343, 2023
2023
Scalable Tools for Information Extraction and Causal Modeling of Neural Data
A Nejatbakhsh
Columbia University, 2022
2022
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Статьи 1–18