| Variational Flow Matching for Graph Generation F Eijkelboom, G Bartosh, CA Naesseth, M Welling, JW van de Meent arXiv preprint arXiv:2406.04843, 2024 | | 2024 |
| Image generation model based on log-likelihood E Hoogeboom, D Nielsen, M Welling, P Forre, P Jaini, WH Beluch US Patent 11,995,151, 2024 | | 2024 |
| Aurora: A foundation model of the atmosphere C Bodnar, WP Bruinsma, A Lucic, M Stanley, J Brandstetter, P Garvan, ... arXiv preprint arXiv:2405.13063, 2024 | 2 | 2024 |
| Devices and computer implemented methods for encoding and decoding data TA Keller, A Khoreva, M Welling US Patent App. 18/552,404, 2024 | | 2024 |
| DNA: Differentially private Neural Augmentation for contact tracing R Romijnders, C Louizos, YM Asano, M Welling arXiv preprint arXiv:2404.13381, 2024 | | 2024 |
| System and method with spherical autoencoder for object discovery S Lowe, M Rudolph, M Welling, F Condessa US Patent App. 17/957,156, 2024 | | 2024 |
| Device and method for training a normalizing flow J Peters, TA Keller, A Khoreva, E Hoogeboom, M Welling, P Jaini US Patent 11,961,275, 2024 | | 2024 |
| Equivariant 3D-conditional diffusion model for molecular linker design I Igashov, H Stärk, C Vignac, A Schneuing, VG Satorras, P Frossard, ... Nature Machine Intelligence, 1-11, 2024 | 90 | 2024 |
| Protect Your Score: Contact-Tracing with Differential Privacy Guarantees R Romijnders, C Louizos, YM Asano, M Welling Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14829 …, 2024 | 1 | 2024 |
| Learning Neural Free-Energy Functionals with Pair-Correlation Matching J Dijkman, M Dijkstra, R van Roij, M Welling, JW van de Meent, B Ensing arXiv preprint arXiv:2403.15007, 2024 | 1 | 2024 |
| Data-driven probabilistic modeling of wireless channels using conditional variational auto-encoders A Behboodi, S Zheng, JB Soriaga, M Welling, T Orekondy US Patent 11,929,853, 2024 | 1 | 2024 |
| Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths L Holdijk, Y Du, F Hooft, P Jaini, B Ensing, M Welling Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Flow Factorized Representation Learning Y Song, A Keller, N Sebe, M Welling Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Wasserstein quantum Monte Carlo: a novel approach for solving the quantum many-body Schrödinger equation K Neklyudov, J Nys, L Thiede, J Carrasquilla, Q Liu, M Welling, ... Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Lie Point Symmetry and Physics-Informed Networks T Akhound-Sadegh, L Perreault-Levasseur, J Brandstetter, M Welling, ... Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Rotating features for object discovery S Löwe, P Lippe, F Locatello, M Welling Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Binding Dynamics in Rotating Features S Löwe, F Locatello, M Welling arXiv preprint arXiv:2402.05627, 2024 | 1 | 2024 |
| Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI R Zhang, AG Wilson, M Welling, YW Teh, D Rügamer, TGJ Rudner, ... arXiv, 2024 | | 2024 |
| Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI T Papamarkou, M Skoularidou, K Palla, L Aitchison, J Arbel, D Dunson, ... arXiv preprint arXiv:2402.00809, 2024 | 5 | 2024 |
| Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI T Papamarkou, M Skoularidou, K Palla, L Aitchison, J Arbel, D Dunson, ... Forty-first International Conference on Machine Learning, 2024 | 1 | 2024 |
Paul NewmanProfessor University of Oxford在 robots.ox.ac.uk 的电子邮件经过验证
