| Bayesian Compression for Deep Learning C Louizos, K Ullrich, M Welling Conference on Neural Information Processing Systems (NIPS) 2017, 2017 | 569 | 2017 |
| Soft Weight-Sharing for Neural Network Compression K Ullrich, E Meeds, M Welling International Conference on Learning Representations (ICLR), 2017 | 482 | 2017 |
| Boundary Detection in Music Structure Analysis using Convolutional Neural Networks. K Ullrich, J Schlüter, T Grill ISMIR, 417-422, 2014 | 176 | 2014 |
| Optical Music Recognition with Convolutional Sequence-to-Sequence Models E van der Wel, K Ullrich International Society of Music Information Retrieval (ISMIR), 2017 | 86 | 2017 |
| Lossy Compression for Lossless Prediction Y Dubois, B Bloem-Reddy, K Ullrich, CJ Maddison Conference on Neural Information Processing Systems (NeurIPS) 2021, 2021 | 73 | 2021 |
| An optimal control perspective on diffusion-based generative modeling J Berner, L Richter, K Ullrich Transactions on Machine Learning Research (02/2024), 2022 | 42 | 2022 |
| 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 | 29 | 2021 |
| 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 | 29 | 2017 |
| Image compression with product quantized masked image modeling A El-Nouby, MJ Muckley, K Ullrich, I Laptev, J Verbeek, H Jégou Transactions on Machine Learning Research (03/23), 2022 | 26 | 2022 |
| Improved Bayesian Compression M Federici, K Ullrich, M Welling Bayesian Deep Learning Workshop at NIPS, 2017 | 22 | 2017 |
| An introduction to vision-language modeling F Bordes, RY Pang, A Ajay, AC Li, A Bardes, S Petryk, O Mañas, Z Lin, ... arXiv preprint arXiv:2405.17247, 2024 | 18 | 2024 |
| 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 | 15 | 2019 |
| 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 | 15 | 2014 |
| Improving statistical fidelity for neural image compression with implicit local likelihood models MJ Muckley, A El-Nouby, K Ullrich, H Jégou, J Verbeek International Conference on Machine Learning, 25426-25443, 2023 | 11 | 2023 |
| Music transcription with convolutional sequence-to-sequence models K Ullrich, E van der Wel | 11 | 2017 |
| On the challenges and opportunities in generative ai L Manduchi, K Pandey, R Bamler, R Cotterell, S Däubener, S Fellenz, ... arXiv preprint arXiv:2403.00025, 2024 | 9 | 2024 |
| Compressing multisets with large alphabets D Severo, J Townsend, A Khisti, A Makhzani, K Ullrich IEEE Journal on Selected Areas in Information Theory 3 (4), 605-615, 2022 | 7 | 2022 |
| 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 | 4 | 2021 |
| Neural communication systems with bandwidth-limited channel K Ullrich, F Viola, DJ Rezende arXiv preprint arXiv:2003.13367, 2020 | 2 | 2020 |
| Feed-forward neural networks for boundary detection in music structure analysis K Ullrich University of Amsterdam, 2014 | 2 | 2014 |
Max WellingCAIO CuspAI & Professor Machine Learning, University of AmsterdamVerified email at uva.nl
