| Large scale high-resolution land cover mapping with multi-resolution data C Robinson, L Hou, K Malkin, R Soobitsky, J Czawlytko, B Dilkina, N Jojic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 79 | 2019 |
| Diffusion models as plug-and-play priors A Graikos, N Malkin, N Jojic, D Samaras Advances in Neural Information Processing Systems 35, 14715-14728, 2022 | 45 | 2022 |
| Generative flow networks for discrete probabilistic modeling D Zhang, N Malkin, Z Liu, A Volokhova, A Courville, Y Bengio International Conference on Machine Learning, 26412-26428, 2022 | 32 | 2022 |
| Global Land Cover Mapping with Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest C Robinson, N Malkin, N Jojic, H Chen, R Qin, C Xiao, M Schmitt, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 32 | 2020 |
| Trajectory balance: Improved credit assignment in gflownets N Malkin, M Jain, E Bengio, C Sun, Y Bengio Advances in Neural Information Processing Systems 35, 5955-5967, 2022 | 30 | 2022 |
| Label super-resolution networks K Malkin, C Robinson, L Hou, R Soobitsky, J Czawlytko, D Samaras, ... International Conference on Learning Representations, 2018 | 24 | 2018 |
| Human-Machine Collaboration for Fast Land Cover Mapping. C Robinson, A Ortiz, K Malkin, B Elias, A Peng, D Morris, B Dilkina, N Jojic AAAI, 2509-2517, 2020 | 20 | 2020 |
| 2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good Technical Committees N Yokoya, P Ghamisi, R Hänsch, C Prieur, H Malha, J Chanussot, ... IEEE Geoscience and Remote Sensing Magazine (GRSM) 9 (1), 287-C3, 2021 | 13 | 2021 |
| Coherence boosting: When your pretrained language model is not paying enough attention N Malkin, Z Wang, N Jojic arXiv preprint arXiv:2110.08294, 2021 | 12 | 2021 |
| A theory of continuous generative flow networks S Lahlou, T Deleu, P Lemos, D Zhang, A Volokhova, A Hernández-Garcıa, ... International Conference on Machine Learning, 18269-18300, 2023 | 11 | 2023 |
| GFlowNets and variational inference N Malkin, S Lahlou, T Deleu, X Ji, E Hu, K Everett, D Zhang, Y Bengio arXiv preprint arXiv:2210.00580, 2022 | 11 | 2022 |
| The outcome of the 2021 IEEE GRSS data fusion contest—Track MSD: Multitemporal semantic change detection Z Li, F Lu, H Zhang, L Tu, J Li, X Huang, C Robinson, N Malkin, N Jojic, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 11 | 2022 |
| Mining self-similarity: Label super-resolution with epitomic representations N Malkin, A Ortiz, N Jojic Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 11 | 2020 |
| High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 ieee grss data fusion contest N Malkin, C Robinson, N Jojic arXiv preprint arXiv:2101.01154, 2021 | 10 | 2021 |
| Learning GFlowNets from partial episodes for improved convergence and stability K Madan, J Rector-Brooks, M Korablyov, E Bengio, M Jain, AC Nica, ... International Conference on Machine Learning, 23467-23483, 2023 | 9 | 2023 |
| Better training of gflownets with local credit and incomplete trajectories L Pan, N Malkin, D Zhang, Y Bengio arXiv preprint arXiv:2302.01687, 2023 | 9 | 2023 |
| Conditional flow matching: Simulation-free dynamic optimal transport A Tong, N Malkin, G Huguet, Y Zhang, J Rector-Brooks, K Fatras, G Wolf, ... arXiv preprint arXiv:2302.00482, 2023 | 9 | 2023 |
| Unifying generative models with gflownets D Zhang, RTQ Chen, N Malkin, Y Bengio arXiv preprint arXiv:2209.02606, 2022 | 8 | 2022 |
| Studying word order through iterative shuffling N Malkin, S Lanka, P Goel, N Jojic arXiv preprint arXiv:2109.04867, 2021 | 8 | 2021 |
| GFlowNet-EM for learning compositional latent variable models EJ Hu, N Malkin, M Jain, KE Everett, A Graikos, Y Bengio International Conference on Machine Learning, 13528-13549, 2023 | 7 | 2023 |
Nebojsa JojicMicrosoft ResearchVerified email at microsoft.com
