| DiffCSE: Difference-based contrastive learning for sentence embeddings YS Chuang, R Dangovski, H Luo, Y Zhang, S Chang, M Soljačić, SW Li, ... arXiv preprint arXiv:2204.10298, 2022 | 200 | 2022 |
| Equivariant contrastive learning R Dangovski, L Jing, C Loh, S Han, A Srivastava, B Cheung, P Agrawal, ... arXiv preprint arXiv:2111.00899, 2021 | 126 | 2021 |
| Optoelectronic computing systems Y Shen, H Meng, L Jing, R Dangovski, P Xie, M Khoury, CK Lu, R Gagnon, ... US Patent 11,734,555, 2023 | 44 | 2023 |
| Rotational unit of memory: a novel representation unit for RNNs with scalable applications R Dangovski, L Jing, P Nakov, M Tatalović, M Soljačić Transactions of the Association for Computational Linguistics 7, 121-138, 2019 | 41* | 2019 |
| Occamnet: A fast neural model for symbolic regression at scale O Dugan, R Dangovski, A Costa, S Kim, P Goyal, J Jacobson, M Soljačić arXiv preprint arXiv:2007.10784, 2020 | 27* | 2020 |
| We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale R Dangovski, M Shen, D Byrd, L Jing, D Tsvetkova, P Nakov, M Soljačić Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12728 …, 2021 | 17 | 2021 |
| Weitzenböck derivations of free metabelian Lie algebras R Dangovski, V Drensky, Ş Fındık Linear Algebra and its Applications 439 (10), 3279-3296, 2013 | 15 | 2013 |
| Surrogate-and invariance-boosted contrastive learning for data-scarce applications in science C Loh, T Christensen, R Dangovski, S Kim, M Soljačić Nature Communications 13 (1), 4223, 2022 | 14 | 2022 |
| Discovering conservation laws using optimal transport and manifold learning PY Lu, R Dangovski, M Soljačić Nature Communications 14 (1), 4744, 2023 | 13 | 2023 |
| On the maximal containments of lower central series ideals RR Dangovski arXiv preprint arXiv:1509.08030, 2015 | 10 | 2015 |
| Optoelectronic computing systems Y Shen, H Meng, L Jing, R Dangovski, P Xie, M Khoury, CK Lu, R Gagnon, ... US Patent 11,907,832, 2024 | 8 | 2024 |
| Mitigating confirmation bias in semi-supervised learning via efficient bayesian model averaging C Loh, R Dangovski, S Sudalairaj, S Han, L Han, L Karlinsky, M Soljacic, ... Transactions on Machine Learning Research, 2023 | 8* | 2023 |
| Koopman operator learning for accelerating quantum optimization and machine learning D Luo, J Shen, R Dangovski, M Soljacic | 8 | 2022 |
| Q-flow: generative modeling for differential equations of open quantum dynamics with normalizing flows OM Dugan, PY Lu, R Dangovski, D Luo, M Soljacic International Conference on Machine Learning, 8879-8901, 2023 | 7 | 2023 |
| On a novel application of wasserstein-procrustes for unsupervised cross-lingual learning G Ramírez, R Dangovski, P Nakov, M Soljačić arXiv preprint arXiv:2007.09456, 2020 | 7 | 2020 |
| Optoelectronic computing systems Y Shen, H Meng, L Jing, R Dangovski, P Xie, M Khoury, CK Lu, R Gagnon, ... US Patent 11,783,172, 2023 | 6 | 2023 |
| Optoelectronic computing systems Y Shen, L Jing, R Dangovski, P Xie, H Meng, M Khoury, CK Lu, R Gagnon, ... US Patent 11,687,767, 2023 | 6 | 2023 |
| Optoelectronic computing systems Y Shen, H Meng, L Jing, R Dangovski, P Xie, M Khoury, CK Lu, R Gagnon, ... US Patent 12,001,946, 2024 | 5 | 2024 |
| Multi-symmetry ensembles: Improving diversity and generalization via opposing symmetries C Loh, S Han, S Sudalairaj, R Dangovski, K Xu, F Wenzel, M Soljacic, ... International Conference on Machine Learning, 22614-22630, 2023 | 5 | 2023 |
| Ai-assisted discovery of quantitative and formal models in social science J Balla, S Huang, O Dugan, R Dangovski, M Soljacic arXiv preprint arXiv:2210.00563, 2022 | 5 | 2022 |
Marin SoljacicProfessor of Physics, MITZweryfikowany adres z mit.edu
