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Rumen Dangovski
Rumen Dangovski
Google DeepMind
Adresă de e-mail confirmată pe mit.edu - Pagina de pornire
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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
2232022
Equivariant contrastive learning
R Dangovski, L Jing, C Loh, S Han, A Srivastava, B Cheung, P Agrawal, ...
arXiv preprint arXiv:2111.00899, 2021
1392021
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
562023
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
44*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
332020
Discovering conservation laws using optimal transport and manifold learning
PY Lu, R Dangovski, M Soljačić
Nature Communications 14 (1), 4744, 2023
202023
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
192021
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
162022
Weitzenböck derivations of free metabelian Lie algebras
R Dangovski, V Drensky, Ş Fındık
Linear Algebra and its Applications 439 (10), 3279-3296, 2013
162013
W.-t. Yih, Y. Kim, and J. Glass,“Diffcse: Differencebased contrastive learning for sentence embeddings,”
YS Chuang, R Dangovski, H Luo, Y Zhang, S Chang, M Soljacic, SW Li
arXiv preprint arXiv:2204.10298, 2022
142022
On the maximal containments of lower central series ideals
RR Dangovski
arXiv preprint arXiv:1509.08030, 2015
112015
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
102024
Supplementary Information: Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging
C Loh, R Dangovski
Transactions on Machine Learning Research, 2023
10*2023
Koopman operator learning for accelerating quantum optimization and machine learning
D Luo, J Shen, R Dangovski, M Soljacic
102022
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
92023
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
82023
Photonic probabilistic machine learning using quantum vacuum noise
S Choi, Y Salamin, C Roques-Carmes, R Dangovski, D Luo, Z Chen, ...
Nature Communications 15 (1), 7760, 2024
62024
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
62024
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
62023
Model stitching: Looking for functional similarity between representations
A Hernandez, R Dangovski, PY Lu, M Soljacic
arXiv preprint arXiv:2303.11277, 2023
62023
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