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Christian 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
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
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
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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