Srinivas C. Turaga

27 papers A* 3Journal 15Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Rocket-crane algorithm for the Feedback Arc Set problem.
Soc. Netw. Anal. Min.
David A. Bader, Justin Ellis-Joyce, Gert-Jan Both, Srinivas C. Turaga, Harinarayan Asoori Sriram, Srijith Chinthalapudi, Zhihui Du
2022 A* conf
Connectome-constrained Latent Variable Model of Whole-Brain Neural Activity.
ICLR
Lu Mi, Richard Xu, Sridhama Prakhya, Albert Lin, Nir Shavit, Aravinthan D. T. Samuel, Srinivas C. Turaga
2022 A* conf
FourierNets enable the design of highly non-local optical encoders for computational imaging.
NeurIPS
Diptodip Deb, Zhenfei Jiao, Ruth R. Sims, Alex B. Chen, Michael Broxton, Misha B. Ahrens, Kaspar Podgorski, Srinivas C. Turaga
2021 J jnl
Learning Guided Electron Microscopy with Active Acquisition.
CoRR
Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit
2021 J jnl
Programmable 3D snapshot microscopy with Fourier convolutional networks.
CoRR
Diptodip Deb, Zhenfei Jiao, Alex B. Chen, Misha B. Ahrens, Kaspar Podgorski, Srinivas C. Turaga
2020 — conf
Learning Guided Electron Microscopy with Active Acquisition.
MICCAI (5)
Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit
2019 J jnl
Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data.
CoRR
Daniel Jiwoong Im, Sridhama Prakhya, Jinyao Yan, Srinivas C. Turaga, Kristin Branson
2019 J jnl
Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction.
IEEE Trans. Pattern Anal. Mach. Intell.
Jan Funke, Fabian Tschopp, William Grisaitis, Arlo Sheridan, Chandan Singh, Stephan Saalfeld, Srinivas C. Turaga
2019 J jnl
Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based learning and unsupervised learning.
CoRR
Artur Speiser, Srinivas C. Turaga, Jakob H. Macke
2018 J jnl
A Connectome Based Hexagonal Lattice Convolutional Network Model of the Drosophila Visual System.
CoRR
Fabian David Tschopp, Michael B. Reiser, Srinivas C. Turaga
2018 J jnl
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data.
PLoS Comput. Biol.
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, Johannes Friedrich, Liam Paninski, Marius Pachitariu, Kenneth D. Harris, Ben Bolte, Timothy A. Machado, Dario Ringach, Jasmine Stone, Luke E. Rogerson, Nicolas J. Sofroniew, Jacob Reimer, Emmanouil Froudarakis, Thomas Euler, Miroslav Román Rosón, Lucas Theis, Andreas S. Tolias, Matthias Bethge
2018 J jnl
Discrete flow posteriors for variational inference in discrete dynamical systems.
CoRR
Laurence Aitchison, Vincent Adam, Srinivas C. Turaga
2018 — conf
Synaptic Partner Prediction from Point Annotations in Insect Brains.
MICCAI (2)
Julia M. Buhmann, Renate Krause, Rodrigo Ceballos Lentini, Nils Eckstein, Matthew Cook, Srinivas C. Turaga, Jan Funke
2018 J jnl
Synaptic partner prediction from point annotations in insect brains.
CoRR
Julia M. Buhmann, Renate Krause, Rodrigo Ceballos Lentini, Nils Eckstein, Matthew Cook, Srinivas C. Turaga, Jan Funke
2017 J jnl
A Deep Structured Learning Approach Towards Automating Connectome Reconstruction from 3D Electron Micrographs.
CoRR
Jan Funke, Fabian Tschopp, William Grisaitis, Arlo Sheridan, Chandan Singh, Stephan Saalfeld, Srinivas C. Turaga
2017 J jnl
Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration.
CoRR
Toufiq Parag, Fabian Tschopp, William Grisaitis, Srinivas C. Turaga, Xuewen Zhang, Brian Matejek, Lee Kamentsky, Jeff W. Lichtman, Hanspeter Pfister
2017 — conf
Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations.
NIPS
Marcel Nonnenmacher, Srinivas C. Turaga, Jakob H. Macke
2017 — conf
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders.
NIPS
Artur Speiser, Jinyao Yan, Evan W. Archer, Lars Buesing, Srinivas C. Turaga, Jakob H. Macke
2017 J jnl
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders.
CoRR
Artur Speiser, Jinyao Yan, Evan Archer, Lars Buesing, Srinivas C. Turaga, Jakob H. Macke
2017 — conf
Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit.
NIPS
Laurence Aitchison, Lloyd Russell, Adam M. Packer, Jinyao Yan, Philippe Castonguay, Michael Häusser, Srinivas C. Turaga
2016 — conf
Efficient convolutional neural networks for pixelwise classification on heterogeneous hardware systems.
ISBI
Fabian Tschopp, Julien N. P. Martel, Srinivas C. Turaga, Matthew Cook, Jan Funke
2013 — conf
Inferring neural population dynamics from multiple partial recordings of the same neural circuit.
NIPS
Srinivas C. Turaga, Lars Buesing, Adam M. Packer, Henry Dalgleish, Noah Pettit, Michael Häusser, Jakob H. Macke
2011 — conf
Learning to Agglomerate Superpixel Hierarchies.
NIPS
Viren Jain, Srinivas C. Turaga, Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk, H. Sebastian Seung
2010 J jnl
Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation.
Neural Comput.
Srinivas C. Turaga, Joseph F. Murray, Viren Jain, Fabian Roth, Moritz Helmstaedter, Kevin L. Briggman, Winfried Denk, H. Sebastian Seung
2009 J jnl
Maximin affinity learning of image segmentation
CoRR
Srinivas C. Turaga, Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk, H. Sebastian Seung
2009 — conf
Maximin affinity learning of image segmentation.
NIPS
Srinivas C. Turaga, Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk, H. Sebastian Seung
2007 A* conf
Supervised Learning of Image Restoration with Convolutional Networks.
ICCV
Viren Jain, Joseph F. Murray, Fabian Roth, Srinivas C. Turaga, Valentin P. Zhigulin, Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk, H. Sebastian Seung