Rocket-crane algorithm for the Feedback Arc Set problem.

Srinivas C. Turaga https://scholar.google.com/citations?user=V_NdI3sAAAAJ https://zbmath.org/authors/?q=ai:turaga.srinivas-c https://orcid.org/0000-0003-3247-6487 https://www.wikidata.org/entity/Q59676790

David A. Bader Justin Ellis-Joyce Gert-Jan Both Srinivas C. Turaga Harinarayan Asoori Sriram Srijith Chinthalapudi Zhihui Du Rocket-crane algorithm for the Feedback Arc Set problem. 68 2025 December 15 Soc. Netw. Anal. Min. 1 https://doi.org/10.1007/s13278-025-01491-2 db/journals/snam/snam15.html#BaderEBTSCD25 streams/journals/snam

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. 2022 ICLR https://openreview.net/forum?id=CJzi3dRlJE- conf/iclr/2022 db/conf/iclr/iclr2022.html#MiXPLSST22 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. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/a1263ffa557506ea29c54481788d518f-Abstract-Conference.html db/conf/nips/neurips2022.html#DebJSCBAPT22

Lu Mi Hao Wang 0014 Yaron Meirovitch Richard Schalek Srinivas C. Turaga Jeff W. Lichtman Aravinthan D. T. Samuel Nir Shavit Learning Guided Electron Microscopy with Active Acquisition. 2021 abs/2101.02746 CoRR https://arxiv.org/abs/2101.02746 db/journals/corr/corr2101.html#abs-2101-02746

Diptodip Deb Zhenfei Jiao Alex B. Chen Misha B. Ahrens Kaspar Podgorski Srinivas C. Turaga Programmable 3D snapshot microscopy with Fourier convolutional networks. 2021 abs/2104.10611 CoRR https://arxiv.org/abs/2104.10611 db/journals/corr/corr2104.html#abs-2104-10611

Lu Mi Hao Wang 0014 Yaron Meirovitch Richard Schalek Srinivas C. Turaga Jeff W. Lichtman Aravinthan D. T. Samuel Nir Shavit Learning Guided Electron Microscopy with Active Acquisition. 77-87 2020 MICCAI (5) https://doi.org/10.1007/978-3-030-59722-1_8 conf/miccai/2020-5 db/conf/miccai/miccai2020-5.html#MiWMSTLSS20

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. 1669-1680 2019 41 IEEE Trans. Pattern Anal. Mach. Intell. 7 https://doi.org/10.1109/TPAMI.2018.2835450 https://www.wikidata.org/entity/Q67212364 db/journals/pami/pami41.html#FunkeTGSSST19

Daniel Jiwoong Im Sridhama Prakhya Jinyao Yan Srinivas C. Turaga Kristin Branson Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data. 2019 abs/1906.03214 CoRR http://arxiv.org/abs/1906.03214 db/journals/corr/corr1906.html#abs-1906-03214

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. 2019 abs/1907.00770 CoRR http://arxiv.org/abs/1907.00770 db/journals/corr/corr1907.html#abs-1907-00770

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. 2018 14 PLoS Comput. Biol. 5 https://doi.org/10.1371/journal.pcbi.1006157 https://www.wikidata.org/entity/Q55342498 db/journals/ploscb/ploscb14.html#BerensFDCMSMTMR18

Julia M. Buhmann Renate Krause Rodrigo Ceballos Lentini Nils Eckstein Matthew Cook 0001 Srinivas C. Turaga Jan Funke Synaptic Partner Prediction from Point Annotations in Insect Brains. 309-316 2018 MICCAI (2) https://doi.org/10.1007/978-3-030-00934-2_35 conf/miccai/2018-2 db/conf/miccai/miccai2018-2.html#BuhmannKLE0TF18

Laurence Aitchison Vincent Adam Srinivas C. Turaga Discrete flow posteriors for variational inference in discrete dynamical systems. 2018 abs/1805.10958 CoRR http://arxiv.org/abs/1805.10958 db/journals/corr/corr1805.html#abs-1805-10958

Fabian David Tschopp Michael B. Reiser Srinivas C. Turaga A Connectome Based Hexagonal Lattice Convolutional Network Model of the Drosophila Visual System. 2018 abs/1806.04793 CoRR http://arxiv.org/abs/1806.04793 db/journals/corr/corr1806.html#abs-1806-04793

Julia M. Buhmann Renate Krause Rodrigo Ceballos Lentini Nils Eckstein Matthew Cook 0001 Srinivas C. Turaga Jan Funke Synaptic partner prediction from point annotations in insect brains. 2018 abs/1806.08205 CoRR http://arxiv.org/abs/1806.08205 db/journals/corr/corr1806.html#abs-1806-08205

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. 3486-3495 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/f80bf05527157a8c2a7bb63b22f49aaa-Abstract.html http://papers.nips.cc/paper/6940-model-based-bayesian-inference-of-neural-activity-and-connectivity-from-all-optical-interrogation-of-a-neural-circuit conf/nips/2017 db/conf/nips/nips2017.html#AitchisonRPYCHT17 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. 4024-4034 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/5d6646aad9bcc0be55b2c82f69750387-Abstract.html http://papers.nips.cc/paper/6991-fast-amortized-inference-of-neural-activity-from-calcium-imaging-data-with-variational-autoencoders conf/nips/2017 db/conf/nips/nips2017.html#SpeiserYABTM17 Marcel Nonnenmacher Srinivas C. Turaga Jakob H. Macke Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations. 5702-5712 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/c7558e9d1f956b016d1fdba7ea132378-Abstract.html http://papers.nips.cc/paper/7153-extracting-low-dimensional-dynamics-from-multiple-large-scale-neural-population-recordings-by-learning-to-predict-correlations conf/nips/2017 db/conf/nips/nips2017.html#NonnenmacherTM17

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. 2017 abs/1707.08935 CoRR http://arxiv.org/abs/1707.08935 db/journals/corr/corr1707.html#ParagTGTZMKLP17

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. 2017 abs/1709.02974 CoRR http://arxiv.org/abs/1709.02974 db/journals/corr/corr1709.html#abs-1709-02974

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. 2017 abs/1711.01846 CoRR http://arxiv.org/abs/1711.01846 db/journals/corr/corr1711.html#abs-1711-01846

Fabian Tschopp Julien N. P. Martel Srinivas C. Turaga Matthew Cook 0001 Jan Funke Efficient convolutional neural networks for pixelwise classification on heterogeneous hardware systems. 1225-1228 2016 ISBI https://doi.org/10.1109/ISBI.2016.7493487 conf/isbi/2016 db/conf/isbi/isbi2016.html#TschoppMT0F16 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. 539-547 2013 NIPS https://proceedings.neurips.cc/paper/2013/hash/01386bd6d8e091c2ab4c7c7de644d37b-Abstract.html http://papers.nips.cc/paper/4874-inferring-neural-population-dynamics-from-multiple-partial-recordings-of-the-same-neural-circuit conf/nips/2013 db/conf/nips/nips2013.html#TuragaBPDPHM13 Viren Jain Srinivas C. Turaga Kevin L. Briggman Moritz Helmstaedter Winfried Denk H. Sebastian Seung Learning to Agglomerate Superpixel Hierarchies. 648-656 2011 NIPS https://proceedings.neurips.cc/paper/2011/hash/941e1aaaba585b952b62c14a3a175a61-Abstract.html http://papers.nips.cc/paper/4249-learning-to-agglomerate-superpixel-hierarchies conf/nips/2011 db/conf/nips/nips2011.html#JainTBHDS11

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. 511-538 2010 22 Neural Comput. 2 https://doi.org/10.1162/neco.2009.10-08-881 https://www.wikidata.org/entity/Q45963341 db/journals/neco/neco22.html#TuragaMJRHBDS10

Srinivas C. Turaga Kevin L. Briggman Moritz Helmstaedter Winfried Denk H. Sebastian Seung Maximin affinity learning of image segmentation. 1865-1873 2009 NIPS https://proceedings.neurips.cc/paper/2009/hash/68d30a9594728bc39aa24be94b319d21-Abstract.html http://papers.nips.cc/paper/3887-maximin-affinity-learning-of-image-segmentation conf/nips/2009 db/conf/nips/nips2009.html#TuragaBHDS09

Srinivas C. Turaga Kevin L. Briggman Moritz Helmstaedter Winfried Denk H. Sebastian Seung Maximin affinity learning of image segmentation http://arxiv.org/abs/0911.5372 2009 CoRR abs/0911.5372 db/journals/corr/corr0911.html#abs-0911-5372

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. 1-8 2007 ICCV https://doi.org/10.1109/ICCV.2007.4408909 https://doi.ieeecomputersociety.org/10.1109/ICCV.2007.4408909 conf/iccv/2007 db/conf/iccv/iccv2007.html#JainMRTZBHDS07 Vincent Adam Misha B. Ahrens Laurence Aitchison Evan ArcherEvan W. Archer David A. Bader Philipp Berens Matthias Bethge Ben Bolte Gert-Jan Both Kristin Branson Kevin L. Briggman Michael Broxton Lars Buesing Julia M. Buhmann Philippe Castonguay Alex Bo-Yuan ChenAlex B. Chen Nicolay Chenkov Srijith Chinthalapudi Matthew Cook 0001 Henry Dalgleish Diptodip Deb Thomas Deneux Winfried Denk Zhihui Du Nils Eckstein Justin Ellis-Joyce Thomas Euler Jeremy Freeman Johannes Friedrich Rainer W. Friedrich Emmanouil Froudarakis Jan Funke Stephan Gerhard William Grisaitis Kenneth D. Harris Michael Häusser Moritz Helmstaedter Daniel Jiwoong Im Viren Jain Zhenfei Jiao Lee Kamentsky Renate Krause Rodrigo Ceballos Lentini Jeff LichtmanJeff W. Lichtman Albert Lin Timothy A. Machado Jakob H. Macke Julien N. P. Martel Brian Matejek Thomas McColgan Yaron Meirovitch Lu Mi Patrick J. Mineault Joseph F. Murray Marcel Nonnenmacher Marius Pachitariu Adam M. Packer Liam Paninski Toufiq Parag Noah Pettit Hanspeter Pfister Kaspar Podgorski Sridhama Prakhya Jacob Reimer Michael B. Reiser Dario Ringach Luke E. Rogerson Miroslav Román Rosón Fabian Roth Peter Rupprecht Lloyd Russell Stephan Saalfeld Aravinthan D. T. Samuel Richard Schalek H. Sebastian Seung Nir Shavit Arlo Sheridan Ruth R. Sims Chandan Singh Nicolas J. Sofroniew Artur Speiser Harinarayan Asoori Sriram Jasmine Stone Lucas Theis Andreas S. Tolias Fabian TschoppFabian David Tschopp Hao Wang 0014 Richard Y. D. XuRichard Xu Jinyao Yan Xuewen Zhang Valentin P. Zhigulin