| Graph Knowledge Distillation to Mixture of Experts P Rumiantsev, M Coates arXiv preprint arXiv:2406.11919, 2024 | | 2024 |
| MODL: Multilearner Online Deep Learning A Valkanas, BN Oreshkin, M Coates arXiv preprint arXiv:2405.18281, 2024 | | 2024 |
| GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection Z Zhang, D Chetelat, J Cotnareanu, A Ghose, W Xiao, HL Zhen, Y Zhang, ... arXiv preprint arXiv:2405.11024, 2024 | | 2024 |
| CKGConv: General Graph Convolution with Continuous Kernels L Ma, S Pal, Y Zhang, J Zhou, Y Zhang, M Coates arXiv preprint arXiv:2404.13604, 2024 | | 2024 |
| Categorical Generative Model Evaluation via Synthetic Distribution Coarsening F Regol, M Coates International Conference on Artificial Intelligence and Statistics, 910-918, 2024 | | 2024 |
| Multi-resolution time-series transformer for long-term forecasting Y Zhang, L Ma, S Pal, Y Zhang, M Coates International Conference on Artificial Intelligence and Statistics, 4222-4230, 2024 | 5 | 2024 |
| Personalized Negative Reservoir for Incremental Learning in Recommender Systems A Valkanas, Y Wang, Y Zhang, M Coates arXiv preprint arXiv:2403.03993, 2024 | 1 | 2024 |
| Neural Graph Generation from Graph Statistics K Zahirnia, Y Hu, M Coates, O Schulte Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Method, system and computer readable medium for probabilistic spatiotemporal forecasting PAL Soumyasundar, Y Zhang, M Coates US Patent App. 18/365,568, 2024 | | 2024 |
| Population Monte Carlo with Normalizing Flow S Pal, A Valkanas, M Coates IEEE Signal Processing Letters, 2023 | | 2023 |
| Substituting Data Annotation with Balanced Neighbourhoods and Collective Loss in Multi-label Text Classification M Ozmen, J Cotnareanu, M Coates Conference on Lifelong Learning Agents, 909-922, 2023 | | 2023 |
| Interacting Diffusion Processes for Event Sequence Forecasting M Zeng, F Regol, M Coates arXiv preprint arXiv:2310.17800, 2023 | | 2023 |
| Jointly-Learned Exit and Inference for a Dynamic Neural Network J Chataoui, M Coates The Twelfth International Conference on Learning Representations, 2023 | 1 | 2023 |
| Jointly-learned exit and inference for a dynamic neural network: Jei-dnn F Regol, J Chataoui, M Coates arXiv preprint arXiv:2310.09163, 2023 | 2 | 2023 |
| DyG2Vec: Efficient Representation Learning for Dynamic Graphs M Alomrani, M Biparva, Y Zhang, M Coates Transactions on Machine Learning Research, 2023 | | 2023 |
| Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification M Ozmen, J Cotnareanu, M Coates arXiv preprint arXiv:2309.13543, 2023 | | 2023 |
| Motion In-Betweening via Deep -Interpolator BN Oreshkin, A Valkanas, FG Harvey, LS Ménard, F Bocquelet, ... IEEE Transactions on Visualization and Computer Graphics, 2023 | 19 | 2023 |
| Graph inductive biases in transformers without message passing L Ma, C Lin, D Lim, A Romero-Soriano, PK Dokania, M Coates, P Torr, ... International Conference on Machine Learning, 23321-23337, 2023 | 49 | 2023 |
| Bidirectional learning for offline model-based biological sequence design C Chen, Y Zhang, X Liu, M Coates International Conference on Machine Learning, 5351-5366, 2023 | 13 | 2023 |
| Structure aware incremental learning with personalized imitation weights for recommender systems Y Wang, Y Zhang, A Valkanas, R Tang, C Ma, J Hao, M Coates Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4711-4719, 2023 | 3 | 2023 |
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