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Title
Cited by
Cited by
Year
Bayesian Compression for Deep Learning
C Louizos, K Ullrich, M Welling
Conference on Neural Information Processing Systems (NIPS) 2017, 2017
4192017
Soft Weight-Sharing for Neural Network Compression
K Ullrich, E Meeds, M Welling
International Conference on Learning Representations (ICLR), 2017
3562017
Boundary Detection in Music Structure Analysis using Convolutional Neural Networks.
K Ullrich, J Schlüter, T Grill
ISMIR, 417-422, 2014
1432014
Optical Music Recognition with Convolutional Sequence-to-Sequence Models
E van der Wel, K Ullrich
International Society of Music Information Retrieval (ISMIR), 2017
552017
Methane storage and ebullition in monimolimnetic waters of polluted mine pit lake Vollert-Sued, Germany
C Horn, P Metzler, K Ullrich, M Koschorreck, B Boehrer
Science of the Total Environment 584, 1-10, 2017
212017
Lossy Compression for Lossless Prediction
Y Dubois, B Bloem-Reddy, K Ullrich, CJ Maddison
Conference on Neural Information Processing Systems (NeurIPS) 2021, 2021
182021
Improved Bayesian Compression
M Federici, K Ullrich, M Welling
Bayesian Deep Learning Workshop at NIPS, 2017
182017
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
Y Ruan, K Ullrich, D Severo, J Townsend, A Khisti, A Doucet, A Makhzani, ...
International Conference on Machine Learning (ICML), 2021
162021
Structural segmentation with convolutional neural networks mirex submission
J Schlüter, K Ullrich, T Grill
Tenth running of the Music Information Retrieval Evaluation eXchange (MIREX …, 2014
142014
Music transcription with convolutional sequence-to-sequence models
K Ullrich, E van der Wel
102017
Differentiable probabilistic models of scientific imaging with the Fourier slice theorem
K Ullrich, R Berg, M Brubaker, D Fleet, M Welling
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
82019
Compressing multisets with large alphabets
D Severo, J Townsend, A Khisti, A Makhzani, K Ullrich
2022 Data Compression Conference (DCC), 322-331, 2022
22022
Neural communication systems with bandwidth-limited channel
K Ullrich, F Viola, DJ Rezende
arXiv preprint arXiv:2003.13367, 2020
22020
Feed-forward neural networks for boundary detection in music structure analysis
K Ullrich
University of Amsterdam, 2014
22014
Your Dataset is a Multiset and You Should Compress it Like One
D Severo, J Townsend, AJ Khisti, A Makhzani, K Ullrich
NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021
2021
A coding perspective on deep latent variable models
K Ullrich
PhD Thesis, University of Amsterdam, 2020
2020
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