Follow
Rumen Dangovski
Title
Cited by
Cited by
Year
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
1742022
Equivariant contrastive learning
R Dangovski, L Jing, C Loh, S Han, A Srivastava, B Cheung, P Agrawal, ...
arXiv preprint arXiv:2111.00899, 2021
1112021
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
40*2019
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
372023
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
25*2020
Weitzenböck derivations of free metabelian Lie algebras
R Dangovski, V Drensky, Ş Fındık
Linear Algebra and its Applications 439 (10), 3279-3296, 2013
152013
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
132021
Discovering conservation laws using optimal transport and manifold learning
PY Lu, R Dangovski, M Soljačić
Nature Communications 14 (1), 4744, 2023
122023
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
122022
On the maximal containments of lower central series ideals
RR Dangovski
arXiv preprint arXiv:1509.08030, 2015
92015
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
72024
Koopman operator learning for accelerating quantum optimization and machine learning
D Luo, J Shen, R Dangovski, M Soljacic
72022
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
72020
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
62023
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
6*2023
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
52023
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
52023
Adapting deep learning models to new meteorological contexts using transfer learning
P Khorrami, O Simek, B Cheung, M Veillette, R Dangovski, I Rugina, ...
2021 IEEE International Conference on Big Data (Big Data), 4169-4177, 2021
52021
Contextualizing enhances gradient based meta learning
E Vogelbaum, R Dangovski, L Jing, M Soljačić
arXiv preprint arXiv:2007.10143, 2020
52020
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
42024
The system can't perform the operation now. Try again later.
Articles 1–20