Supervised Learning of Image Restoration with Convolutional Networks. - Viren Jain; Joseph F. Murray; Fabian Roth; Srinivas C. Turaga; Valentin P. Zhigulin; Kevin L. Briggman; Moritz Helmstaedter; Winfried Denk; H. Sebastian Seung (ICCV, 2007)

Maximin affinity learning of image segmentation. - Srinivas C. Turaga; Kevin L. Briggman; Moritz Helmstaedter; Winfried Denk; H. Sebastian Seung (NIPS, 2009)

Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation. - Srinivas C. Turaga; Joseph F. Murray; Viren Jain; Fabian Roth; Moritz Helmstaedter; Kevin L. Briggman; Winfried Denk; H. Sebastian Seung (Neural Comput., 2010)

Learning to Agglomerate Superpixel Hierarchies. - Viren Jain; Srinivas C. Turaga; Kevin L. Briggman; Moritz Helmstaedter; Winfried Denk; H. Sebastian Seung (NIPS, 2011)

Inferring neural population dynamics from multiple partial recordings of the same neural circuit. - Srinivas C. Turaga; Lars Buesing; Adam M. Packer; Henry Dalgleish; Noah Pettit; Michael Häusser; Jakob H. Macke (NIPS, 2013)

Efficient convolutional neural networks for pixelwise classification on heterogeneous hardware systems. - Fabian Tschopp; Julien N. P. Martel; Srinivas C. Turaga; Matthew Cook 001; Jan Funke (ISBI, 2016)

Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit. - Laurence Aitchison; Lloyd Russell; Adam M. Packer; Jinyao Yan; Philippe Castonguay; Michael Häusser; Srinivas C. Turaga (NIPS, 2017)

Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations. - Marcel Nonnenmacher; Srinivas C. Turaga; Jakob H. Macke (NIPS, 2017)

Fast amortized inference of neural activity from calcium imaging data with variational autoencoders. - Artur Speiser; Jinyao Yan; Evan W. Archer; Lars Buesing; Srinivas C. Turaga; Jakob H. Macke (NIPS, 2017)

Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration. - Toufiq Parag; Fabian Tschopp; William Grisaitis; Srinivas C. Turaga; Xuewen Zhang; Brian Matejek; Lee Kamentsky; Jeff W. Lichtman; Hanspeter Pfister (CoRR, 2017)

A Deep Structured Learning Approach Towards Automating Connectome Reconstruction from 3D Electron Micrographs. - Jan Funke; Fabian Tschopp; William Grisaitis; Arlo Sheridan; Chandan Singh; Stephan Saalfeld; Srinivas C. Turaga (CoRR, 2017)

Synaptic Partner Prediction from Point Annotations in Insect Brains. - Julia M. Buhmann; Renate Krause; Rodrigo Ceballos Lentini; Nils Eckstein; Matthew Cook 001; Srinivas C. Turaga; Jan Funke (MICCAI (2), 2018)

Discrete flow posteriors for variational inference in discrete dynamical systems. - Laurence Aitchison; Vincent Adam; Srinivas C. Turaga (CoRR, 2018)

A Connectome Based Hexagonal Lattice Convolutional Network Model of the Drosophila Visual System. - Fabian David Tschopp; Michael B. Reiser; Srinivas C. Turaga (CoRR, 2018)

Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. - Philipp Berens; Jeremy Freeman; Thomas Deneux; Nicolay Chenkov; Thomas McColgan; Artur Speiser; Jakob H. Macke; Srinivas C. Turaga; Patrick J. Mineault; Peter Rupprecht; Stephan Gerhard; Rainer W. Friedrich; et al. (PLoS Comput. Biol., 2018)

Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data. - Daniel Jiwoong Im; Sridhama Prakhya; Jinyao Yan; Srinivas C. Turaga; Kristin Branson (CoRR, 2019)

Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based learning and unsupervised learning. - Artur Speiser; Srinivas C. Turaga; Jakob H. Macke (CoRR, 2019)

Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction. - Jan Funke; Fabian Tschopp; William Grisaitis; Arlo Sheridan; Chandan Singh; Stephan Saalfeld; Srinivas C. Turaga (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Learning Guided Electron Microscopy with Active Acquisition. - Lu Mi; Hao Wang 014; Yaron Meirovitch; Richard Schalek; Srinivas C. Turaga; Jeff W. Lichtman; Aravinthan D. T. Samuel; Nir Shavit (MICCAI (5), 2020)

Programmable 3D snapshot microscopy with Fourier convolutional networks. - Diptodip Deb; Zhenfei Jiao; Alex B. Chen; Misha B. Ahrens; Kaspar Podgorski; Srinivas C. Turaga (CoRR, 2021)

Connectome-constrained Latent Variable Model of Whole-Brain Neural Activity. - Lu Mi; Richard Xu; Sridhama Prakhya; Albert Lin; Nir Shavit; Aravinthan D. T. Samuel; Srinivas C. Turaga (ICLR, 2022)

FourierNets enable the design of highly non-local optical encoders for computational imaging. - Diptodip Deb; Zhenfei Jiao; Ruth R. Sims; Alex B. Chen; Michael Broxton; Misha B. Ahrens; Kaspar Podgorski; Srinivas C. Turaga (NeurIPS, 2022)

Rocket-crane algorithm for the Feedback Arc Set problem. - David A. Bader; Justin Ellis-Joyce; Gert-Jan Both; Srinivas C. Turaga; Harinarayan Asoori Sriram; Srijith Chinthalapudi; Zhihui Du (Soc. Netw. Anal. Min., 2025)