Srinivas C. Turaga

Orcid: 0000-0003-3247-6487

According to our database1, Srinivas C. Turaga authored at least 22 papers between 2007 and 2022.

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Bibliography

2022
FourierNets enable the design of highly non-local optical encoders for computational imaging.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Connectome-constrained Latent Variable Model of Whole-Brain Neural Activity.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Programmable 3D snapshot microscopy with Fourier convolutional networks.
CoRR, 2021

2020
Learning Guided Electron Microscopy with Active Acquisition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based learning and unsupervised learning.
CoRR, 2019

Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data.
CoRR, 2019

2018
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data.
PLoS Comput. Biol., 2018

A Connectome Based Hexagonal Lattice Convolutional Network Model of the Drosophila Visual System.
CoRR, 2018

Discrete flow posteriors for variational inference in discrete dynamical systems.
CoRR, 2018

Synaptic Partner Prediction from Point Annotations in Insect Brains.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
A Deep Structured Learning Approach Towards Automating Connectome Reconstruction from 3D Electron Micrographs.
CoRR, 2017

Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration.
CoRR, 2017

Fast amortized inference of neural activity from calcium imaging data with variational autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Efficient convolutional neural networks for pixelwise classification on heterogeneous hardware systems.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2013
Inferring neural population dynamics from multiple partial recordings of the same neural circuit.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2011
Learning to Agglomerate Superpixel Hierarchies.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation.
Neural Comput., 2010

2009
Maximin affinity learning of image segmentation.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2007
Supervised Learning of Image Restoration with Convolutional Networks.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007


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