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Nikolay Malkin
Nikolay Malkin
Mila
Verified email at mila.quebec - Homepage
Title
Cited by
Cited by
Year
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
792019
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
452022
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
322022
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
322020
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
302022
Label super-resolution networks
K Malkin, C Robinson, L Hou, R Soobitsky, J Czawlytko, D Samaras, ...
International Conference on Learning Representations, 2018
242018
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
202020
2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good Technical Committees
N Yokoya, P Ghamisi, R Hšnsch, C Prieur, H Malha, J Chanussot, ...
IEEE Geoscience and Remote Sensing Magazine (GRSM) 9 (1), 287-C3, 2021
132021
Coherence boosting: When your pretrained language model is not paying enough attention
N Malkin, Z Wang, N Jojic
arXiv preprint arXiv:2110.08294, 2021
122021
A theory of continuous generative flow networks
S Lahlou, T Deleu, P Lemos, D Zhang, A Volokhova, A HernŠndez-Garcıa, ...
International Conference on Machine Learning, 18269-18300, 2023
112023
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
112022
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
112022
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
112020
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
102021
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
92023
Better training of gflownets with local credit and incomplete trajectories
L Pan, N Malkin, D Zhang, Y Bengio
arXiv preprint arXiv:2302.01687, 2023
92023
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
92023
Unifying generative models with gflownets
D Zhang, RTQ Chen, N Malkin, Y Bengio
arXiv preprint arXiv:2209.02606, 2022
82022
Studying word order through iterative shuffling
N Malkin, S Lanka, P Goel, N Jojic
arXiv preprint arXiv:2109.04867, 2021
82021
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
72023
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