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Rumen Dangovski

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Multimodal Learning for Crystalline Materials

Nov 30, 2023
Viggo Moro, Charlotte Loh, Rumen Dangovski, Ali Ghorashi, Andrew Ma, Zhuo Chen, Peter Y. Lu, Thomas Christensen, Marin Soljačić

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Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies

Apr 08, 2023
Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava

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Model Stitching: Looking For Functional Similarity Between Representations

Mar 20, 2023
Adriano Hernandez, Rumen Dangovski, Peter Y. Lu, Marin Soljacic

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Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries

Mar 04, 2023
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava

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Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows

Feb 23, 2023
Owen Dugan, Peter Y. Lu, Rumen Dangovski, Di Luo, Marin Soljačić

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Koopman Operator learning for Accelerating Quantum Optimization and Machine Learning

Nov 02, 2022
Di Luo, Jiayu Shen, Rumen Dangovski, Marin Soljačić

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On the Importance of Calibration in Semi-supervised Learning

Oct 10, 2022
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava

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AI-Assisted Discovery of Quantitative and Formal Models in Social Science

Oct 02, 2022
Julia Balla, Sihao Huang, Owen Dugan, Rumen Dangovski, Marin Soljacic

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Discovering Conservation Laws using Optimal Transport and Manifold Learning

Aug 31, 2022
Peter Y. Lu, Rumen Dangovski, Marin Soljačić

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