| Developing a distributed drone delivery system with a hybrid behavior planning system D Krakowczyk, J Wolff, A Ciobanu, DJ Meyer, CE Hrabia KI 2018: Advances in Artificial Intelligence: 41st German Conference on AI …, 2018 | 16 | 2018 |
| Low-shot learning from imaginary 3d model F Pahde, M Puscas, J Wolff, T Klein, N Sebe, M Nabi 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 978-985, 2019 | 10 | 2019 |
| Learning to optimise: using Bayesian deep learning for transfer learning in optimisation J Langhabel, J Wolff, R Holca-Lamarre Workshop Bayesian Deep Learn., NIPS, 1-3, 2016 | 3 | 2016 |
| Mixture-of-experts VAEs can disregard variation in surjective multimodal data J Wolff, T Klein, M Nabi, RG Krishnan, S Nakajima Advances in Neural Information Processing Systems (NeurIPS 2021), Bayesian …, 2021 | 2 | 2021 |
| Learning graph-based priors for generalized zero-shot learning C Samplawski, J Wolff, T Klein, M Nabi US Patent 11,288,542, 2022 | 1 | 2022 |
| Learning Graph-Based Priors for Generalized Zero-Shot Learning C Samplawski, J Wolff, T Klein, M Nabi arXiv preprint arXiv:2010.11369, 2020 | 1 | 2020 |
| Hierarchical Multimodal Variational Autoencoders J Wolff, RG Krishnan, L Ruff, JN Morshuis, T Klein, S Nakajima, M Nabi | | 2021 |
Moin NabiResearch Scientist at AppleVerified email at uw.edu
