Amin Nejatbakhsh

According to our database1, Amin Nejatbakhsh authored at least 13 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Estimating Noise Correlations Across Continuous Conditions With Wishart Processes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Probabilistic Piecewise Rigid Atlases of Model Organisms via Generative Deep Networks.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
Toward a more accurate 3D atlas of C. elegans neurons.
BMC Bioinform., 2022

2021
Neuron matching in C. elegans with robust approximate linear regression without correspondence.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Estimating the Unique Information of Continuous Variables.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport.
CoRR, 2020

Statistical Atlas of C. elegans Neurons.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Demixing Calcium Imaging Data in C. elegans via Deformable Non-negative Matrix Factorization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Probabilistic Joint Segmentation and Labeling of C. elegans Neurons.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Temporal Wasserstein non-negative matrix factorization for non-rigid motion segmentation and spatiotemporal deconvolution.
CoRR, 2019

Wasserstein total variation filtering.
CoRR, 2019

Robust approximate linear regression without correspondence.
CoRR, 2019

Sinkhorn Permutation Variational Marginal Inference.
Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019


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