| Experimental realization of a nonlinear acoustic lens with a tunable focus CM Donahue, PWJ Anzel, L Bonanomi, TA Keller, C Daraio Applied Physics Letters 104 (1), 2014 | 103 | 2014 |
| Topographic vaes learn equivariant capsules TA Keller, M Welling Advances in Neural Information Processing Systems 34, 28585-28597, 2021 | 28 | 2021 |
| Self normalizing flows TA Keller, JWT Peters, P Jaini, E Hoogeboom, P Forré, M Welling International Conference on Machine Learning, 5378-5387, 2021 | 12 | 2021 |
| Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders TA Keller, Q Gao, M Welling arXiv preprint arXiv:2110.13911, 2021 | 11 | 2021 |
| Designing policy recommendations to reduce home abandonment in Mexico K Ackermann, E Blancas Reyes, S He, T Anderson Keller, P Van Der Boor, ... Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 8 | 2016 |
| Latent Traversals in Generative Models as Potential Flows Y Song, A Keller, N Sebe, M Welling arXiv preprint arXiv:2304.12944, 2023 | 6 | 2023 |
| Predictive Coding with Topographic Variational Autoencoders TA Keller, M Welling Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 4 | 2021 |
| Traveling Waves Encode the Recent Past and Enhance Sequence Learning TA Keller, L Muller, T Sejnowski, M Welling arXiv preprint arXiv:2309.08045, 2023 | 3 | 2023 |
| Neural wave machines: learning spatiotemporally structured representations with locally coupled oscillatory recurrent neural networks TA Keller, M Welling International Conference on Machine Learning, 16168-16189, 2023 | 3 | 2023 |
| Locally coupled oscillatory recurrent networks learn traveling waves and topographic organization TA Keller, M Welling Cosyne abstracts 2023, 2023 | 3 | 2023 |
| Homomorphic Self-Supervised Learning TA Keller, X Suau, L Zappella arXiv preprint arXiv:2211.08282, 2022 | 3 | 2022 |
| Fast Weight Long Short-Term Memory TA Keller, SN Sridhar, X Wang arXiv preprint arXiv:1804.06511, 2018 | 3 | 2018 |
| Duet: 2d structured and approximately equivariant representations X Suau, F Danieli, TA Keller, A Blaas, C Huang, J Ramapuram, ... arXiv preprint arXiv:2306.16058, 2023 | 2 | 2023 |
| Flow Factorized Representation Learning Y Song, A Keller, N Sebe, M Welling Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning F Wever, TA Keller, L Symul, V Garcia arXiv preprint arXiv:2106.15577, 2021 | 1 | 2021 |
| Image segmentation with traveling waves in an exactly solvable recurrent neural network LHB Liboni, RC Budzinski, AN Busch, S Löwe, TA Keller, M Welling, ... arXiv preprint arXiv:2311.16943, 2023 | | 2023 |
| Deep Generative Models of Music Expectation NL Masclef, TA Keller arXiv preprint arXiv:2310.03500, 2023 | | 2023 |
| Device and computer implemented method for training an artificial neural network TA Keller, A Khoreva, M Welling US Patent App. 16/983,717, 2021 | | 2021 |
| Comparison and Fine-grained Analysis of Sequence Encoders for Natural Language Processing TA Keller University of California, San Diego, 2017 | | 2017 |
| An Experimental Study of a Nonlinear Acoustic Lens Interfaced with Water C Donahue, P Anzel, T Keller, C Daraio APS Division of Fluid Dynamics Meeting Abstracts, E24. 001, 2012 | | 2012 |
Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of AmsterdamGeverifieerd e-mailadres voor uva.nl
