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ORCIDChristian Osendorfer
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2020 – today
- 2022
[c20]Ilya Sklyar, Anna Piunova, Christian Osendorfer:
Separator-Transducer-Segmenter: Streaming Recognition and Segmentation of Multi-party Speech. INTERSPEECH 2022: 4451-4455- [i10]Ilya Sklyar, Anna Piunova, Christian Osendorfer:
Separator-Transducer-Segmenter: Streaming Recognition and Segmentation of Multi-party Speech. CoRR abs/2205.05199 (2022) - 2020
- [c19]Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci:
Deep Iterative Surface Normal Estimation. CVPR 2020: 11244-11253 - [c18]Jan Svoboda, Asha Anoosheh, Christian Osendorfer, Jonathan Masci:
Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer. CVPR 2020: 13813-13822
2010 – 2019
- 2019
- [i9]Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci:
Differentiable Iterative Surface Normal Estimation. CoRR abs/1904.07172 (2019) - [i8]Jan Svoboda, Asha Anoosheh, Christian Osendorfer, Jonathan Masci:
Conditional Neural Style Transfer with Peer-Regularized Feature Transform. CoRR abs/1906.02913 (2019) - [i7]Timon Willi, Jonathan Masci, Jürgen Schmidhuber, Christian Osendorfer:
Recurrent Neural Processes. CoRR abs/1906.05915 (2019) - [i6]Giorgio Giannone, Jonathan Masci, Christian Osendorfer:
No Representation without Transformation. CoRR abs/1912.03845 (2019) - 2018
- [c17]Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez:
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. NeurIPS 2018: 3029-3039 - [i5]Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez:
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. CoRR abs/1804.07209 (2018) - 2016
- [b1]Christian Osendorfer:
Connectionist Models for Learning Local Image Descriptors: An empirical case study. Technical University Munich, Germany, 2016 - 2015
- [c16]Saskia Golz, Christian Osendorfer, Sami Haddadin
:
Using tactile sensation for learning contact knowledge: Discriminate collision from physical interaction. ICRA 2015: 3788-3794 - 2014
- [c15]Christian Osendorfer, Hubert Soyer, Patrick van der Smagt:
Image Super-Resolution with Fast Approximate Convolutional Sparse Coding. ICONIP (3) 2014: 250-257 - [c14]Nutan Chen, Sebastian Urban, Christian Osendorfer, Justin Bayer, Patrick van der Smagt:
Estimating finger grip force from an image of the hand using Convolutional Neural Networks and Gaussian processes. ICRA 2014: 3137-3142 - [c13]Rachel Hornung, Holger Urbanek, Julian Klodmann, Christian Osendorfer, Patrick van der Smagt:
Model-free robot anomaly detection. IROS 2014: 3676-3683 - [c12]Justin Bayer, Christian Osendorfer, Nutan Chen, Sebastian Urban, Patrick van der Smagt:
On Fast Dropout and its Applicability to Recurrent Networks. ICLR (Poster) 2014 - [i4]Justin Bayer, Christian Osendorfer:
Learning Stochastic Recurrent Networks. CoRR abs/1411.7610 (2014) - [i3]Maximilian Karl, Christian Osendorfer:
Improving approximate RPCA with a k-sparsity prior. CoRR abs/1412.8291 (2014) - 2013
- [j2]Thomas Rückstieß, Christian Osendorfer, Patrick van der Smagt:
Minimizing data consumption with sequential online feature selection. Int. J. Mach. Learn. Cybern. 4(3): 235-243 (2013) - [c11]Justin Bayer, Christian Osendorfer, Sebastian Urban, Patrick van der Smagt:
Training Neural Networks with Implicit Variance. ICONIP (2) 2013: 132-139 - [c10]Christian Osendorfer, Justin Bayer, Sebastian Urban, Patrick van der Smagt:
Convolutional Neural Networks Learn Compact Local Image Descriptors. ICONIP (3) 2013: 624-630 - [c9]Sebastian Urban, Justin Bayer, Christian Osendorfer, Göran Westling, Benoni B. Edin, Patrick van der Smagt:
Computing grip force and torque from finger nail images using Gaussian processes. IROS 2013: 4034-4039 - [c8]Christian Osendorfer, Justin Bayer, Patrick van der Smagt:
Unsupervised Feature Learning for low-level Local Image Descriptors. ICLR (Workshop Poster) 2013 - [i2]Christian Osendorfer, Justin Bayer, Patrick van der Smagt:
Convolutional Neural Networks learn compact local image descriptors. CoRR abs/1304.7948 (2013) - 2012
- [c7]Justin Bayer, Christian Osendorfer, Patrick van der Smagt:
Learning Sequence Neighbourhood Metrics. ICANN (1) 2012: 531-538 - 2011
- [c6]Thomas Rückstieß, Christian Osendorfer, Patrick van der Smagt:
Sequential Feature Selection for Classification. Australasian Conference on Artificial Intelligence 2011: 132-141 - [c5]Jan Schlüter, Christian Osendorfer:
Music Similarity Estimation with the Mean-Covariance Restricted Boltzmann Machine. ICMLA (2) 2011: 118-123 - [i1]Justin Bayer, Christian Osendorfer, Patrick van der Smagt:
Learning Sequence Neighbourhood Metrics. CoRR abs/1109.2034 (2011) - 2010
- [j1]Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber:
Parameter-exploring policy gradients. Neural Networks 23(4): 551-559 (2010) - [c4]Frank Sehnke, Christian Osendorfer, Jan Sölter, Jürgen Schmidhuber, Ulrich Rührmair:
Policy Gradients for Cryptanalysis. ICANN (3) 2010: 168-177 - [c3]Frank Sehnke, Alex Graves, Christian Osendorfer, Jürgen Schmidhuber:
Multimodal Parameter-exploring Policy Gradients. ICMLA 2010: 113-118
2000 – 2009
- 2008
- [c2]Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber:
Policy Gradients with Parameter-Based Exploration for Control. ICANN (1) 2008: 387-396 - 2004
- [c1]Christian Osendorfer, Jie Tao, Carsten Trinitis, Martin Mairandres:
ViSMI: Software Distributed Shared Memory for InfiniBand Clusters. NCA 2004: 185-191
Coauthor Index
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