| Transfer Learning for Speech Recognition on a Budget J Kunze, L Kirsch, I Kurenkov, A Krug, J Johannsmeier, S Stober ACL 2017 Workshop on Representation Learning for NLP, 2017 | 144 | 2017 |
| Modular networks: Learning to decompose neural computation L Kirsch, J Kunze, D Barber Advances in neural information processing systems 31, 2018 | 96 | 2018 |
| Phenaki: Variable length video generation from open domain textual description R Villegas, M Babaeizadeh, PJ Kindermans, H Moraldo, H Zhang, ... arXiv preprint arXiv:2210.02399, 2022 | 58 | 2022 |
| Hilloc: Lossless image compression with hierarchical latent variable models J Townsend, T Bird, J Kunze, D Barber arXiv preprint arXiv:1912.09953, 2019 | 51 | 2019 |
| Stochastic variational optimization T Bird, J Kunze, D Barber arXiv preprint arXiv:1809.04855, 2018 | 11 | 2018 |
| Named Entity Linking using Paragraph Vector L Kirsch, J Kunze, M Söchting, J Weise Technical Report, Hasso Plattner Institute, 2016 | 3 | 2016 |
| Gaussian Mean Field Regularizes by Limiting Learned Information J Kunze, L Kirsch, H Ritter, D Barber Entropy 2019, 2019 | 2 | 2019 |
| Framework for exploring and understanding multivariate correlations L Kirsch, N Riekenbrauck, D Thevessen, M Pappik, A Stebner, J Kunze, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 1 | 2017 |
| Adaptive Optimization with Examplewise Gradients J Kunze, J Townsend, D Barber arXiv preprint arXiv:2112.00174, 2021 | | 2021 |
| Iterative Bayesian Mutual Information Estimation for Feature Selection J Kunze Bachelor Thesis, Hasso Plattner Institute, 2017 | | 2017 |
| Noisy Information Bottlenecks for Generalization J Kunze, L Kirsch, H Ritter, D Barber | | |
Louis KirschThe Swiss AI Lab IDSIAVerified email at idsia.ch
