Rumen Dangovski

According to our database, Rumen Dangovski authored at least 31 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Multimodal Learning for Crystalline Materials.

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

CoRR, 2023

Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies.

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

CoRR, 2023

Model Stitching: Looking For Functional Similarity Between Representations.

Adriano Hernandez, Rumen Dangovski, Peter Y. Lu, Marin Soljacic

CoRR, 2023

QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning.

Di Luo, Jiayu Shen, Rumen Dangovski, Marin Soljacic

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

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

Proceedings of the International Conference on Machine Learning, 2023

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

Owen M. Dugan, Peter Y. Lu, Rumen Dangovski, Di Luo, Marin Soljacic

Proceedings of the International Conference on Machine Learning, 2023

Contextualizing Enhances Gradient Based Meta Learning for Few Shot Image Classification.

Evan Vogelbaum, Rumen Dangovski, Li Jing, Marin Soljacic

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation.

Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Manifold Transfer Networks for Lens Distortion Rectification.

Li Jing, Lay Jain, Rumen Dangovski, Marin Soljacic

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Asymmetric Grouped Convolutions for Logarithmic Scale Efficient Convolutional Neural Networks.

Li Jing, Rumen Dangovski, Marin Soljacic

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022

Koopman Operator learning for Accelerating Quantum Optimization and Machine Learning.

Di Luo, Jiayu Shen, Rumen Dangovski, Marin Soljacic

CoRR, 2022

Learning to Optimize Quasi-Newton Methods.

Isaac Liao, Rumen R. Dangovski, Jakob N. Foerster, Marin Soljacic

CoRR, 2022

On the Importance of Calibration in Semi-supervised Learning.

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

CoRR, 2022

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

Julia Balla, Sihao Huang, Owen Dugan, Rumen Dangovski, Marin Soljacic

CoRR, 2022

Discovering Conservation Laws using Optimal Transport and Manifold Learning.

Peter Y. Lu, Rumen Dangovski, Marin Soljacic

CoRR, 2022

DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings.

Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-Wen Li, Scott Yih, Yoon Kim, James R. Glass

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations.

Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Meta-Learning and Self-Supervised Pretraining for Real World Image Translation.

Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic

CoRR, 2021

Equivariant Contrastive Learning.

Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic

CoRR, 2021

Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science.

Charlotte Loh, Thomas Christensen, Rumen Dangovski, Samuel Kim, Marin Soljacic

CoRR, 2021

Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning.

Pooya Khorrami, Olga Simek, Brian Cheung, Mark Veillette, Rumen Dangovski, Ileana Rugina, Marin Soljacic, Pulkit Agrawal

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale.

Rumen Dangovski, Michelle Shen, Dawson Byrd, Li Jing, Desislava Tsvetkova, Preslav Nakov, Marin Soljacic

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks.

Ileana Rugina, Rumen Dangovski, Li Jing, Preslav Nakov, Marin Soljacic

CoRR, 2020

Interpretable Neuroevolutionary Models for Learning Non-Differentiable Functions and Programs.

Allan dos Santos Costa, Rumen Dangovski, Samuel Kim, Pawan Goyal, Marin Soljacic, Joseph Jacobson

CoRR, 2020

Contextualizing Enhances Gradient Based Meta Learning.

Evan Vogelbaum, Rumen Dangovski, Li Jing, Marin Soljacic

CoRR, 2020

On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning.

Guillem Ramírez, Rumen Dangovski, Preslav Nakov, Marin Soljacic

CoRR, 2020

Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications.

Matthew Khoury, Rumen Dangovski, Longwu Ou, Preslav Nakov, Yichen Shen, Li Jing

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications.

Rumen Dangovski, Li Jing, Preslav Nakov, Mico Tatalovic, Marin Soljacic

Trans. Assoc. Comput. Linguistics, 2019

2018

WaveletNet: Logarithmic Scale Efficient Convolutional Neural Networks for Edge Devices.

Li Jing, Rumen Dangovski, Marin Soljacic

CoRR, 2018

Rotational Unit of Memory.

Rumen Dangovski, Li Jing, Marin Soljacic

Proceedings of the 6th International Conference on Learning Representations, 2018

Improving the Performance of Unitary Recurrent Neural Networks and Their Application in Real-life Tasks.

Ivan Ivanov, Li Jing, Rumen Dangovski

Proceedings of the 19th International Conference on Computer Systems and Technologies, 2018