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ORCIDSrinivas C. Turaga
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2020 – today
- 2022
[c12]Lu Mi, Richard Xu, Sridhama Prakhya, Albert Lin, Nir Shavit, Aravinthan D. T. Samuel, Srinivas C. Turaga:
Connectome-constrained Latent Variable Model of Whole-Brain Neural Activity. ICLR 2022- [c11]Diptodip Deb, Zhenfei Jiao, Ruth R. Sims, Alex B. Chen, Michael Broxton, Misha B. Ahrens, Kaspar Podgorski, Srinivas C. Turaga:
FourierNets enable the design of highly non-local optical encoders for computational imaging. NeurIPS 2022 - 2021
- [i11]Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit:
Learning Guided Electron Microscopy with Active Acquisition. CoRR abs/2101.02746 (2021) - [i10]Diptodip Deb, Zhenfei Jiao, Alex B. Chen, Misha B. Ahrens, Kaspar Podgorski, Srinivas C. Turaga:
Programmable 3D snapshot microscopy with Fourier convolutional networks. CoRR abs/2104.10611 (2021) - 2020
- [c10]Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit:
Learning Guided Electron Microscopy with Active Acquisition. MICCAI (5) 2020: 77-87
2010 – 2019
- 2019
- [j3]Jan Funke
, Fabian Tschopp, William Grisaitis, Arlo Sheridan, Chandan Singh, Stephan Saalfeld, Srinivas C. Turaga:
Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1669-1680 (2019) - [i9]Daniel Jiwoong Im, Sridhama Prakhya, Jinyao Yan, Srinivas C. Turaga, Kristin Branson:
Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data. CoRR abs/1906.03214 (2019) - [i8]Artur Speiser, Srinivas C. Turaga, Jakob H. Macke:
Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based learning and unsupervised learning. CoRR abs/1907.00770 (2019) - 2018
- [j2]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:
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. PLoS Comput. Biol. 14(5) (2018) - [c9]Julia M. Buhmann, Renate Krause, Rodrigo Ceballos Lentini, Nils Eckstein, Matthew Cook, Srinivas C. Turaga, Jan Funke:
Synaptic Partner Prediction from Point Annotations in Insect Brains. MICCAI (2) 2018: 309-316 - [i7]Laurence Aitchison, Vincent Adam, Srinivas C. Turaga:
Discrete flow posteriors for variational inference in discrete dynamical systems. CoRR abs/1805.10958 (2018) - [i6]Fabian David Tschopp, Michael B. Reiser, Srinivas C. Turaga:
A Connectome Based Hexagonal Lattice Convolutional Network Model of the Drosophila Visual System. CoRR abs/1806.04793 (2018) - [i5]Julia M. Buhmann, Renate Krause, Rodrigo Ceballos Lentini, Nils Eckstein, Matthew Cook, Srinivas C. Turaga, Jan Funke:
Synaptic partner prediction from point annotations in insect brains. CoRR abs/1806.08205 (2018) - 2017
- [c8]Laurence Aitchison, Lloyd Russell, Adam M. Packer, Jinyao Yan, Philippe Castonguay, Michael Häusser, Srinivas C. Turaga:
Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit. NIPS 2017: 3486-3495 - [c7]Artur Speiser, Jinyao Yan, Evan W. Archer, Lars Buesing, Srinivas C. Turaga, Jakob H. Macke:
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders. NIPS 2017: 4024-4034 - [c6]Marcel Nonnenmacher, Srinivas C. Turaga, Jakob H. Macke:
Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations. NIPS 2017: 5702-5712 - [i4]Toufiq Parag, Fabian Tschopp, William Grisaitis, Srinivas C. Turaga, Xuewen Zhang, Brian Matejek, Lee Kamentsky, Jeff W. Lichtman, Hanspeter Pfister:
Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration. CoRR abs/1707.08935 (2017) - [i3]Jan Funke, Fabian Tschopp, William Grisaitis, Arlo Sheridan, Chandan Singh, Stephan Saalfeld, Srinivas C. Turaga:
A Deep Structured Learning Approach Towards Automating Connectome Reconstruction from 3D Electron Micrographs. CoRR abs/1709.02974 (2017) - [i2]Artur Speiser, Jinyao Yan, Evan Archer, Lars Buesing, Srinivas C. Turaga, Jakob H. Macke:
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders. CoRR abs/1711.01846 (2017) - 2016
- [c5]Fabian Tschopp, Julien N. P. Martel, Srinivas C. Turaga, Matthew Cook, Jan Funke:
Efficient convolutional neural networks for pixelwise classification on heterogeneous hardware systems. ISBI 2016: 1225-1228 - 2013
- [c4]Srinivas C. Turaga, Lars Buesing, Adam M. Packer, Henry Dalgleish, Noah Pettit, Michael Häusser, Jakob H. Macke:
Inferring neural population dynamics from multiple partial recordings of the same neural circuit. NIPS 2013: 539-547 - 2011
- [c3]Viren Jain, Srinivas C. Turaga, Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk, H. Sebastian Seung:
Learning to Agglomerate Superpixel Hierarchies. NIPS 2011: 648-656 - 2010
- [j1]Srinivas C. Turaga, Joseph F. Murray, Viren Jain, Fabian Roth, Moritz Helmstaedter, Kevin L. Briggman, Winfried Denk, H. Sebastian Seung:
Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation. Neural Comput. 22(2): 511-538 (2010)
2000 – 2009
- 2009
- [c2]Srinivas C. Turaga, Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk, H. Sebastian Seung:
Maximin affinity learning of image segmentation. NIPS 2009: 1865-1873 - [i1]Srinivas C. Turaga, Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk, H. Sebastian Seung:
Maximin affinity learning of image segmentation. CoRR abs/0911.5372 (2009) - 2007
- [c1]Viren Jain, Joseph F. Murray, Fabian Roth, Srinivas C. Turaga, Valentin P. Zhigulin, Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk, H. Sebastian Seung:
Supervised Learning of Image Restoration with Convolutional Networks. ICCV 2007: 1-8
Coauthor Index
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