Prof. Dr. Fabian H. Sinz

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  • 2024 | Preprint
    ​ ​Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation​
    Pierzchlewicz, P. A.; da Silva, C.; Cotton, R. J.& Sinz, F. H. ​ (2024)
    ​Details 
  • 2023 | Preprint
    ​ ​Towards a Foundation Model of the Mouse Visual Cortex​
    Wang, E. Y.; Fahey, P. G; Ponder, K.; Ding, Z.; Chang, A.; Muhammad, T.& Patel, S. et al.​ (2023). DOI: https://doi.org/10.1101/2023.03.21.533548 
    ​Details  DOI  PMID  PMC 
  • 2023 | Preprint
    ​ ​Bipartite invariance in mouse primary visual cortex​
    Ding, Z.; Tran, D. T.; Ponder, K.; Cobos, E.; Ding, Z.; Fahey, P. G.& Wang, E. et al.​ (2023). DOI: https://doi.org/10.1101/2023.03.15.532836 
    ​Details  DOI  PMID  PMC 
  • 2023 | Preprint
    ​ ​NEURD: A mesh decomposition framework for automated proofreading and morphological analysis of neuronal EM reconstructions​
    Celii, B.; Papadopoulos, S.; Ding, Z.; Fahey, P. G.; Wang, E.; Papadopoulos, C.& Kunin, A. B. et al.​ (2023). DOI: https://doi.org/10.1101/2023.03.14.532674 
    ​Details  DOI  PMID  PMC 
  • 2023 | Preprint
    ​ ​Functional connectomics reveals general wiring rule in mouse visual cortex​
    Ding, Z.; Fahey, P. G.; Papadopoulos, S.; Wang, E.; Celii, B.; Papadopoulos, C.& Kunin, A. B. et al.​ (2023). DOI: https://doi.org/10.1101/2023.03.13.531369 
    ​Details  DOI  PMID  PMC 
  • 2023 | Preprint
    ​ ​Pattern completion and disruption characterize contextual modulation in mouse visual cortex​
    Fu, J.; Shrinivasan, S.; Ponder, K.; Muhammad, T.; Ding, Z.; Wang, E.& Ding, Z. et al.​ (2023). DOI: https://doi.org/10.1101/2023.03.13.532473 
    ​Details  DOI  PMID  PMC 
  • 2023 | Conference Paper
    ​ ​Bayesian Oracle for bounding information gain in neural encoding models​
    Lurz, K.-K.; Bashiri, M.; Walker, E. Y. & Sinz, F. H. ​ (2023)
    ​11th International Conference on Learning Representations​, Kigali, Rwanda.
    ​Details 
  • 2023 | Conference Paper
    ​ ​Learning invariance manifolds of visual sensory neurons​
    Baroni, L.; Bashiri, M.; Willeke, K. F.; Antolík, J. & Sinz, F. H. ​ (2023)
    ​Proceedings of machine learning pp. 301​-326. (Vol. 197). ​NeurIPS Workshop on Symmetry and Geometry in Neural Representations​, New Orleans, USA.
    ​Details 
  • 2022 | Journal Article | 
    ​ ​Distinct organization of two cortico-cortical feedback pathways​
    Shen, S.; Jiang, X.; Scala, F.; Fu, J.; Fahey, P.; Kobak, D. & Tan, Z. et al.​ (2022) 
    Nature Communications, 13(1) art. 6389​.​ DOI: https://doi.org/10.1038/s41467-022-33883-9 
    ​Details  DOI  PMID  PMC 
  • 2022 | Preprint
    ​ ​Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks​
    Cadena, S. A.; Willeke, K. F.; Restivo, K.; Denfield, G.; Sinz, F. H. ; Bethge, M.& Tolias, A. S. et al.​ (2022). DOI: https://doi.org/10.1101/2022.05.18.492503 
    ​Details  DOI 
  • 2022 | Conference Paper
    ​ ​Leading by example: Guiding knowledge transfer with adversarial data augmentation​
    Nix, A.; Burg, M. F. & Sinz, F. H. ​ (2022)
    ​36th Conference on Neural Information Processing Systems (NeurIPS 2022)​, New Orleans, USA.
    ​Details 
  • 2022 | Preprint
    ​ ​Using UAV-imagery for leaf segmentation in diseased plants via mask-based data augmentation and extension of leaf-based phenotyping parameters​
    Barreto, A.; Reifenrath, L.; Vogg, R.; Sinz, F.  & Mahlein, A.-K.​ (2022). DOI: https://doi.org/10.1101/2022.12.19.520984 
    ​Details  DOI 
  • 2022 | Conference Paper
    ​ ​Can functional transfer methods capture simple inductive biases?​
    Nix, A. F.; Shrinivasan, S.; Walker, E. Y. & Sinz, F. H. ​ (2022)
    In:Camps-Valls, Gustau; Ruiz, Francisco J. R.; Valera, Isabel​ (Eds.), ​Proceedings of Machine Learning Research pp. 10703​-10717. (Vol. 151). ​International Conference on Artificial Intelligence and Statistics​, Virtual.
    MLResearch Press.
    ​Details 
  • 2022 | Preprint
    ​ ​The Sensorium competition on predicting large-scale mouse primary visual cortex activity​
    Willeke, K. F.; Fahey, P. G.; Bashiri, M.; Pede, L.; Burg, M. F.; Blessing, C.& Cadena, S. A. et al.​ (2022). DOI: https://doi.org/10.48550/ARXIV.2206.08666 
    ​Details  DOI  arXiv 
  • 2022 | Preprint
    ​ ​Heterogeneous orientation tuning across sub-regions of receptive fields of V1 neurons in mice​
    Fu, J.; Willeke, K. F.; Pierzchlewicz, P. A.; Muhammad, T.; Denfield, G. H.; Sinz, F. H.  & Tolias, A. S.​ (2022). DOI: https://doi.org/10.2139/ssrn.4029075 
    ​Details  DOI 
  • 2022 | Preprint
    ​ ​It takes neurons to understand neurons: Digital twins of visual cortex synthesize neural metamers​
    Cobos, E.; Muhammad, T.; Fahey, P. G.; Ding, Z.; Ding, Z.; Reimer, J.& Sinz, F. H.  et al.​ (2022). DOI: https://doi.org/10.1101/2022.12.09.519708 
    ​Details  DOI 
  • 2022 | Preprint
    ​ ​Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions​
    Pierzchlewicz, P. A.; Cotton, R. J.; Bashiri, M.& Sinz, F. H. ​ (2022). DOI: https://doi.org/10.48550/ARXIV.2210.11179 
    ​Details  DOI  arXiv 
  • 2022 | Preprint
    ​ ​Machine learning-based personalized composite score dissects risk and protective factors for cognitive and motor function in elderly​
    Schalkamp, A.-K.; Lerche, S.; Wurster, I.; Roeben, B.; Zimmermann, M.; Fries, F.& von Thaler, A.-K. et al.​ (2022). DOI: https://doi.org/10.1101/2022.11.18.22282498 
    ​Details  DOI 
  • 2022 | Conference Paper
    ​ ​Bayesian Oracle for bounding information gain in neural encoding models​
    Lurz, K.-K.; Bashiri, M. & Sinz, F. H. ​ (2022)
    ​36th Conference on Neural Information Processing Systems (NeurIPS 2022)​, New Orleans, USA.
    ​Details 
  • 2022 | Journal Article
    ​ ​State-dependent pupil dilation rapidly shifts visual feature selectivity​
    Franke, K.; Willeke, K. F.; Ponder, K.; Galdamez, M.; Zhou, N.; Muhammad, T. & Patel, S. et al.​ (2022) 
    Nature, 610 pp. 128​-134​.​ DOI: https://doi.org/10.1038/s41586-022-05270-3 
    ​Details  DOI 
  • 2021 | Conference Paper
    ​ ​A flow-based latent state generative model of neural population responses to natural images​
    Bashiri, M.; Walker, E. Y.; Lurz, K.-K.; Jagadish, A. K.; Muhammad, T.; Ding, Z. & Ding, Z. et al.​ (2021)
    ​35th Conference on Neural Information Processing Systems (NeurIPS 2021)​, Virtual. DOI: https://doi.org/10.1101/2021.09.09.459570 
    ​Details  DOI 
  • 2021 | Preprint
    ​ ​Functional connectomics spanning multiple areas of mouse visual cortex​
    Bae, J. A.; Baptiste, M.; Bodor, A. L.; Brittain, D.; Buchanan, J.; Bumbarger, D. J.& Castro, M. A. et al.​ (2021). DOI: https://doi.org/10.1101/2021.07.28.454025 
    ​Details  DOI 
  • 2021 | Conference Paper
    ​ ​Towards robust vision by multi-task learning on monkey visual cortex​
    Safarani, S.; Nix, A.; Willeke, K.; Cadena, S. A.; Restivo, K.; Denfield, G. & Tolias, A. S. et al.​ (2021)
    ​35th Conference on Neural Information Processing Systems (NeurIPS 2021)​, Virtual.
    ​Details  arXiv 
  • 2021 | Preprint
    ​ ​Behavioral state tunes mouse vision to ethological features through pupil dilation​
    Franke, K.; Willeke, K. F.; Ponder, K.; Galdamez, M.; Muhammad, T.; Patel, S.& Froudarakis, E. et al.​ (2021). DOI: https://doi.org/10.1101/2021.09.03.458870 
    ​Details  DOI 
  • 2020 | Conference Paper
    ​ ​Rotation-invariant clustering of neuronal responses in primary visual cortex​
    Ustyuzhaninov, I.; Cadena, S. A.; Froudarakis, E.; Fahey, P. G.; Walker, E. Y.; Cobos, E. & Reimer, J. et al.​ (2020)
    ​8th International Conference on Learning Representations (ICLR 2020)​, Virtual.
    ​Details 
  • 2020 | Conference Paper
    ​ ​Generalization in data-driven models of primary visual cortex​
    Lurz, K.-K.; Bashiri, M.; Willeke, K.; Jagadish, A.; Wang, E.; Walker, E. Y. & Cadena, S. A. et al.​ (2020)
    ​9th International Conference on Learning Representation (ICLR 2021)​, Virtual.
    ​Details 
  • 2020 | Preprint
    ​ ​Tracking activity patterns of a multispecies community of gymnotiform weakly electric fish in their neotropical habitat without tagging​
    Henninger, J.; Krahe, R.; Sinz, F.  & Benda, J.​ (2020). DOI: https://doi.org/10.1101/550814 
    ​Details  DOI 
  • 2020 | Conference Paper
    ​ ​Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses​
    Cotton, R. J.; Sinz, F. H.   & Tolias, A. S.​ (2020)
    In:Larochelle, Hugo​ (Ed.), ​34th Conference on Neural Information Processing Systems (NeurIPS 2020). ​34th Conference on Neural Information Processing Systems (NeurIPS 2020)​, Virtual.
    Red Hook, USA​: Curran Associates, Inc..
    ​Details 
  • 2020 | Journal Article | Research Paper
    ​ ​Tracking activity patterns of a multispecies community of gymnotiform weakly electric fish in their neotropical habitat without tagging​
    Henninger, J.; Krahe, R.; Sinz, F.   & Benda, J.​ (2020) 
    The Journal of Experimental Biology, 223(3).​ DOI: https://doi.org/10.1242/jeb.206342 
    ​Details  DOI  PMID  PMC 
  • 2020 | Journal Article | Research Paper
    ​ ​Cell type composition and circuit organization of clonally related excitatory neurons in the juvenile mouse neocortex​
    Cadwell, C. R.; Scala, F.; Fahey, P. G.; Kobak, D.; Mulherkar, S.; Sinz, F. H.   & Papadopoulos, S. et al.​ (2020) 
    eLife, 9.​ DOI: https://doi.org/10.7554/eLife.52951 
    ​Details  DOI  PMID  PMC 
  • 2020 | Journal Article | Research Paper
    ​ ​Simultaneous spike-time locking to multiple frequencies​
    Sinz, F. H. ; Sachgau, C.; Henninger, J.; Benda, J. & Grewe, J.​ (2020) 
    Journal of Neurophysiology, 123(6) pp. 2355​-2372​.​ DOI: https://doi.org/10.1152/jn.00615.2019 
    ​Details  DOI  PMID  PMC 
  • 2019 | Conference Paper
    ​ ​How well do deep neural networks trained on object recognition characterize the mouse visual system?​
    Cadena, S. A.; Sinz, F. H. ; Muhammad, T.; Froudarakis, E.; Cobos, E.; Walker, E. Y. & Reimer, J. et al.​ (2019)
    ​33rd Conference on Neural Information Processing Systems (NeurIPS 2019)​, ), Vancouver, Canada.
    ​Details 
  • 2019 | Conference Paper
    ​ ​Neural likelihood​
    Blessing, C.; Walker, E. Y.; Quinn, K. R.; Cotton, R. J.; Ma, W. J.; Tolias, A. S. & Nienborg, H. et al.​ (2019)
    ​2019 Conference on Cognitive Computational Neuroscience​, Berlin. DOI: https://doi.org/10.32470/CCN.2019.1233-0 
    ​Details  DOI 
  • 2019 | Preprint
    ​ ​A global map of orientation tuning in mouse visual cortex​
    Fahey, P. G.; Muhammad, T.; Smith, C.; Froudarakis, E.; Cobos, E.; Fu, J.& Walker, E. Y. et al.​ (2019). DOI: https://doi.org/10.1101/745323 
    ​Details  DOI 
  • 2019 | Preprint
    ​ ​Cell type composition and circuit organization of neocortical radial clones​
    Cadwell, C. R.; Scala, F.; Fahey, P. G.; Kobak, D.; Sinz, F. H. ; Johnsson, P.& Li, S. et al.​ (2019). DOI: https://doi.org/10.1101/526681 
    ​Details  DOI 
  • 2019 | Journal Article | Research Paper
    ​ ​Engineering a Less Artificial Intelligence​
    Sinz, F. H. ; Pitkow, X.; Reimer, J.; Bethge, M. & Tolias, A. S.​ (2019) 
    Neuron, 103(6) pp. 967​-979​.​ DOI: https://doi.org/10.1016/j.neuron.2019.08.034 
    ​Details  DOI  PMID  PMC 
  • 2019 | Journal Article
    ​ ​Inception loops discover what excites neurons most using deep predictive models​
    Walker, E. Y.; Sinz, F. H. ; Cobos, E.; Muhammad, T.; Froudarakis, E.; Fahey, P. G. & Ecker, A. S.  et al.​ (2019) 
    Nature Neuroscience, 22(12) pp. 2060​-2065​.​ DOI: https://doi.org/10.1038/s41593-019-0517-x 
    ​Details  DOI  PMID  PMC 
  • 2018 | Conference Paper
    ​ ​A rotation-equivariant convolutional neural network model of primary visual cortex​
    Ecker, A. S. ; Sinz, F. H. ; Froudarakis, E.; Fahey, P. G.; Cadena, S. A.; Walker, E. Y. & Cobos, E. et al.​ (2018)
    ​7th International Conference on Learning Representations (ICLR 2019)​, New Orleans, USA.
    ​Details  arXiv 
  • 2018 | Preprint
    ​ ​Stimulus domain transfer in recurrent models for large scale cortical population prediction on video​
    Sinz, F. H. ; Ecker, A. S. ; Fahey, P. G.; Walker, E. Y.; Cobos, E.; Froudarakis, E.& Yatsenko, D. et al.​ (2018). DOI: https://doi.org/10.1101/452672 
    ​Details  DOI 
  • 2018 | Preprint
    ​ ​Inception in visual cortex: in vivo-silico loops reveal most exciting images​
    Walker, E. Y.; Sinz, F. H. ; Froudarakis, E.; Fahey, P. G.; Muhammad, T.; Ecker, A. S.  & Cobos, E. et al.​ (2018). DOI: https://doi.org/10.1101/506956 
    ​Details  DOI 
  • 2017 | Conference Paper
    ​ ​Normalizing the normalizers: Comparing and extending network normalization schemes​
    Ren, M.; Liao, R.; Urtasun, R.; Sinz, F. H.   & Zemel, R. S.​ (2017)
    ​5th International Conference on Learning Representations (ICLR 2017)​, Toulon, France.
    ​Details  arXiv 
  • 2017 | Conference Paper
    ​ ​Towards a cortically inspired deep learning model: Semi-supervised learning, divisive normalization, and synaptic pruning​
    Nguyen, T.; Liu, W.; Sinz, F. ; Baraniuk, R. G.; Tolias, A. S.; Pitkow, X. & Patel, A. B.​ (2017)
    ​Annual Conference on Cognitive Computational Neuroscience (CCN 2017)​, New York, USA.
    ​Details 
  • 2017 | Preprint
    ​ ​Simultaneous spike-time locking to multiple frequencies​
    Sinz, F. H. ; Sachgau, C.; Henninger, J.; Benda, J.& Grewe, J.​ (2017). DOI: https://doi.org/10.1101/149906 
    ​Details  DOI 
  • 2016 | Conference Paper
    ​ ​Cell Lineage Directs teh Precise Assembly of Excitatory Neocortical Circuits​
    Cadwell, C. R.; Jiang, X.; Sinz, F. H. ; Berens, P.; Fahey, P. G.; Yatsenko, D. & Froudarakis, E. et al.​ (2016)
    ​AREADNE 2016: Research in Encoding And Decoding of Neural Ensembles​, Santorini, Greece.
    ​Details 
  • 2016 | Journal Article
    ​ ​Response to Comment on "Principles of connectivity among morphologically defined cell types in adult neocortex"​
    Jiang, X.; Shen, S.; Sinz, F. ; Reimer, J.; Cadwell, C. R.; Berens, P. & Ecker, A. S.  et al.​ (2016) 
    Science, 353(6304) art. 1108​.​ DOI: https://doi.org/10.1126/science.aaf6102 
    ​Details  DOI  PMID  PMC 
  • 2016 | Journal Article | Research Paper
    ​ ​Alternative Splicing Substantially Diversifies the Transcriptome during Early Photomorphogenesis and Correlates with the Energy Availability in Arabidopsis​
    Hartmann, L.; Drewe-Boß, P.; Wießner, T.; Wagner, G.; Geue, S.; Lee, H.-C. & Obermüller, D. M. et al.​ (2016) 
    The Plant Cell, 28(11) pp. 2715​-2734​.​ DOI: https://doi.org/10.1105/tpc.16.00508 
    ​Details  DOI  PMID  PMC 
  • 2015 | Preprint
    ​ ​DataJoint: managing big scientific data using MATLAB or Python​
    Yatsenko, D.; Reimer, J.; Ecker, A. S. ; Walker, E. Y.; Sinz, F. ; Berens, P.& Hoenselaar, A. et al.​ (2015). DOI: https://doi.org/10.1101/031658 
    ​Details  DOI 
  • 2015 | Journal Article
    ​ ​Principles of connectivity among morphologically defined cell types in adult neocortex​
    Jiang, X.; Shen, S.; Cadwell, C. R.; Berens, P.; Sinz, F. ; Ecker, A. S.   & Patel, S. et al.​ (2015) 
    Science, 350(6264) art. aac9462​.​ DOI: https://doi.org/10.1126/science.aac9462 
    ​Details  DOI  PMID  PMC 
  • 2014 | Journal Article | Research Paper
    ​ ​Encoding of social signals in all three electrosensory pathways of Eigenmannia virescens​
    Stöckl, A.; Sinz, F. ; Benda, J. & Grewe, J.​ (2014) 
    Journal of Neurophysiology, 112(9) pp. 2076​-2091​.​ DOI: https://doi.org/10.1152/jn.00116.2014 
    ​Details  DOI  PMID  PMC 
  • 2014 | Journal Article | Research Paper
    ​ ​Natter: A Python natural image statistics toolbox​
    Sinz, F. H. ; Lies, J.-P.; Gerwinn, S. & Bethge, M.​ (2014) 
    Journal of Statistical Software, 61.​
    ​Details 
  • 2014 | Journal Article
    ​ ​Population code in mouse V1 facilitates readout of natural scenes through increased sparseness​
    Froudarakis, E.; Berens, P.; Ecker, A. S. ; Cotton, R. J.; Sinz, F. H. ; Yatsenko, D. & Saggau, P. et al.​ (2014) 
    Nature Neuroscience, 17(6) pp. 851​-857​.​ DOI: https://doi.org/10.1038/nn.3707 
    ​Details  DOI  PMID  PMC 
  • 2013 | Journal Article | Research Paper
    ​ ​What is the limit of redundancy reduction with divisive normalization?​
    Sinz, F. H.   & Bethge, M.​ (2013) 
    Neural Computation, 25(11) pp. 2809​-2814​.​ DOI: https://doi.org/10.1162/NECO_a_00505 
    ​Details  DOI  PMID  PMC 
  • 2013 | Journal Article | Research Paper
    ​ ​Least Informative Dimensions​
    Sinz, F. H. ; Stöckl, A.; Grewe, J. & Benda, J.​ (2013) 
    Advances in Neural Information Processing Systems, 26 pp. 413​-421​.​
    ​Details 
  • 2013 | Journal Article | Research Paper
    ​ ​Temporal adaptation enhances efficient contrast gain control on natural images​
    Sinz, F.   & Bethge, M.​ (2013) 
    PLoS Computational Biology, 9(1) art. e1002889​.​ DOI: https://doi.org/10.1371/journal.pcbi.1002889 
    ​Details  DOI  PMID  PMC 
  • 2012 | Thesis | Doctoral Thesis
    ​ ​Orientation Selectivity and Contrast Gain Control in Representations of Natural Images​
    Sinz, F. H. ​ (2012)
    Graduate School of Neural and Behavioural Sciences, Universität Tübingen. 
    ​Details 
  • 2011 | Journal Article | Research Paper
    ​ ​In All Likelihood, Deep Belief Is Not Enough​
    Theis, L.; Gerwinn, S.; Sinz, F.   & Bethge, M.​ (2011) 
    Journal of Machine Learning Research, 12 pp. 3071​-3096​.​
    ​Details 
  • 2010 | Journal Article | Research Paper
    ​ ​Lower bounds on the redundancy of natural images​
    Hosseini, R.; Sinz, F.   & Bethge, M.​ (2010) 
    Vision Research, 50(22) pp. 2213​-2222​.​ DOI: https://doi.org/10.1016/j.visres.2010.07.025 
    ​Details  DOI  PMID  PMC 
  • 2010 | Journal Article | Research Paper
    ​ ​Likelihood Estimation in Deep Belief Networks​
    Theis, L.; Sinz, F. ; Gerwinn, S. & Bethge, M.​ (2010) 
    Frontiers in Computational Neuroscience, 4.​ DOI: https://doi.org/10.3389/conf.fncom.2010.51.00116 
    ​Details  DOI 
  • 2010 | Journal Article | Research Paper
    ​ ​Lp-nested symmetric distributions​
    Sinz, F.   & Bethge, M.​ (2010) 
    Journal of Machine Learning Research, 11 pp. 3409​-3451​.​
    ​Details 
  • 2009 | Journal Article | Research Paper
    ​ ​Natural image coding in V1: how much use is orientation selectivity?​
    Eichhorn, J.; Sinz, F.   & Bethge, M.​ (2009) 
    PLoS Computational Biology, 5(4) art. e1000336​.​ DOI: https://doi.org/10.1371/journal.pcbi.1000336 
    ​Details  DOI  PMID  PMC  arXiv 
  • 2009 | Journal Article | Research Paper
    ​ ​Hierarchical Modeling of Local Image Features through Lp-Nested Symmetric Distributions​
    Sinz, F. ; Simoncelli, E. P. & Bethge, M.​ (2009) 
    Advances in Neural Information Processing Systems, 22 pp. 1696​-1704​.​
    ​Details 
  • 2009 | Journal Article | Research Paper
    ​ ​Characterization of the p-generalized normal distribution​
    Sinz, F. ; Gerwinn, S. & Bethge, M.​ (2009) 
    Journal of Multivariate Analysis, 100(5) pp. 817​-820​.​ DOI: https://doi.org/10.1016/j.jmva.2008.07.006 
    ​Details  DOI 
  • 2008 | Journal Article | Research Paper
    ​ ​The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction​
    Sinz, F.   & Bethge, M.​ (2008) 
    Advances in Neural Information Processing Systems, 21 pp. 1521​-1528​.​
    ​Details 
  • 2008 | Report
    ​ ​How much can orientation selectivity and contrast gain control reduce redundancies in natural images.​
    Sinz, F.  & Bethge, M.​ (2008)
    ​Details 
  • 2007 | Thesis | Diploma Thesis
    ​ ​A priori knowledge from non-examples​
    Sinz, F. H. ​ (2007)
    Universität Tübingen. 
    ​Details 
  • 2007 | Journal Article | Research Paper
    ​ ​An Analysis of Inference with the Universum​
    Sinz, F. H. ; Chapelle, O.; Agarwal, A. & Schölkopf, B.​ (2007) 
    Advances in Neural Information Processing Systems, pp. 1​-8​.​
    ​Details 
  • 2006 | Journal Article | Research Paper
    ​ ​Large Scale Transductive SVMs​
    Collobert, R.; Sinz, F. ; Weston, J. & Bottou, L.​ (2006) 
    Journal of Machine Learning Research, 7 pp. 1687​-1712​.​
    ​Details 
  • 2006 | Report
    ​ ​Minimal logical constraint covering sets​
    Sinz, F.  & Schölkopf, B.​ (2006)
    ​Details 
  • 2006 | Conference Paper
    ​ ​Inference with the Universum​
    Weston, J.; Collobert, R.; Sinz, F. ; Bottou, L. & Vapnik, V.​ (2006)
    ​Proceedings pp. 1009​-1016. ​23rd international conference on Machine learning (ICML '06)​, Pittsburgh, Pa.. DOI: https://doi.org/10.1145/1143844.1143971 
    ​Details  DOI 
  • 2006 | Conference Paper
    ​ ​Evaluating predictive uncertainty challenge​
    Quiñonero-Candela, J.; Rasmussen, C. E.; Sinz, F. ; Bousquet, O. & Schölkopf, B.​ (2006)
    ​Machine Learning Challenges pp. 1​-27. (Vol. 3944). ​Machine Learning Challenges Workshop (MLCW 2005)​, Southampton, UK.
    Berlin; Heidelberg​: Springer. DOI: https://doi.org/10.1007/11736790_1 
    ​Details  DOI 
  • 2006 | Conference Paper
    ​ ​Trading convexity for scalability​
    Collobert, R.; Sinz, F. ; Weston, J. & Bottou, L.​ (2006)
    ​Proceedings pp. 201​-208. ​23rd international conference on Machine learning (ICML '06)​, Pittsburgh, Pa.. DOI: https://doi.org/10.1145/1143844.1143870 
    ​Details  DOI 
  • 2004 | Conference Paper
    ​ ​Learning depth from stereo​
    Sinz, F. H. ; Candela, J. Q.; Bakır, G. H.; Rasmussen, C. E. & Franz, M. O.​ (2004)
    ​Pattern Recognition pp. 245​-252. (Vol. 3175). ​26th DAGM Symposium​, Tübingen.
    Berlin; Heidelberg​: Springer. DOI: https://doi.org/10.1007/978-3-540-28649-3_30 
    ​Details  DOI 
  • 2004 | Conference Paper
    ​ ​Modelling spikes with mixtures of factor analysers​
    Görür, D.; Rasmussen, C. E.; Tolias, A. S.; Sinz, F.   & Logothetis, N. K.​ (2004)
    ​Pattern Recognition pp. 391​-398. (Vol. 3175). ​26th DAGM Symposium​, Tübingen. DOI: https://doi.org/10.1007/978-3-540-28649-3_48 
    ​Details  DOI 

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