Rumen Dangovski

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 40

Top Topics

Supervised Learning

Lens Distortion

Top Venues

Trans. Mach. Learn. Res.

Publications

Zhuo Chen, Rumen Dangovski, Charlotte Loh, Owen Dugan, Di Luo, Marin Soljacic
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation. CoRR (2024)
Owen Dugan, Donato Manuel Jimenez Beneto, Charlotte Loh, Zhuo Chen, Rumen Dangovski, Marin Soljacic
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step. CoRR (2024)
Ileana Rugina, Rumen Dangovski, Li Jing, Preslav Nakov, Marin Soljacic
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks. LREC/COLING (2024)
Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies. CoRR (2023)
Li Jing, Lay Jain, Rumen Dangovski, Marin Soljacic
Manifold Transfer Networks for Lens Distortion Rectification. HPEC (2023)
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries. ICML (2023)
Li Jing, Rumen Dangovski, Marin Soljacic
Asymmetric Grouped Convolutions for Logarithmic Scale Efficient Convolutional Neural Networks. HPEC (2023)
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging. Trans. Mach. Learn. Res. 2023 (2023)
Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic
Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation. HPEC (2023)
Isaac Liao, Rumen Dangovski, Jakob Nicolaus Foerster, Marin Soljacic
Learning to Optimize Quasi-Newton Methods. Trans. Mach. Learn. Res. 2023 (2023)
Evan Vogelbaum, Rumen Dangovski, Li Jing, Marin Soljacic
Contextualizing Enhances Gradient Based Meta Learning for Few Shot Image Classification. HPEC (2023)
Viggo Moro, Charlotte Loh, Rumen Dangovski, Ali Ghorashi, Andrew Ma, Zhuo Chen, Peter Y. Lu, Thomas Christensen, Marin Soljacic
Multimodal Learning for Crystalline Materials. CoRR (2023)
Adriano Hernandez, Rumen Dangovski, Peter Y. Lu, Marin Soljacic
Model Stitching: Looking For Functional Similarity Between Representations. CoRR (2023)
Owen Dugan, Peter Y. Lu, Rumen Dangovski, Di Luo, Marin Soljacic
Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows. CoRR (2023)
Owen M. Dugan, Peter Y. Lu, Rumen Dangovski, Di Luo, Marin Soljacic
Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows. ICML (2023)
Di Luo, Jiayu Shen, Rumen Dangovski, Marin Soljacic
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning. NeurIPS (2023)
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries. CoRR (2023)
Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-Wen Li, Scott Yih, Yoon Kim, James R. Glass
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. NAACL-HLT (2022)
Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations. ICLR (2022)
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
On the Importance of Calibration in Semi-supervised Learning. CoRR (2022)
Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-Wen Li, Wen-tau Yih, Yoon Kim, James R. Glass
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. CoRR (2022)
Di Luo, Jiayu Shen, Rumen Dangovski, Marin Soljacic
Koopman Operator learning for Accelerating Quantum Optimization and Machine Learning. CoRR (2022)
Julia Balla, Sihao Huang, Owen Dugan, Rumen Dangovski, Marin Soljacic
AI-Assisted Discovery of Quantitative and Formal Models in Social Science. CoRR (2022)
Peter Y. Lu, Rumen Dangovski, Marin Soljacic
Discovering Conservation Laws using Optimal Transport and Manifold Learning. CoRR (2022)
Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
Equivariant Contrastive Learning. CoRR (2021)
Pooya Khorrami, Olga Simek, Brian Cheung, Mark Veillette, Rumen Dangovski, Ileana Rugina, Marin Soljacic, Pulkit Agrawal
Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning. IEEE BigData (2021)
Charlotte Loh, Thomas Christensen, Rumen Dangovski, Samuel Kim, Marin Soljacic
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science. CoRR (2021)
Rumen Dangovski, Michelle Shen, Dawson Byrd, Li Jing, Desislava Tsvetkova, Preslav Nakov, Marin Soljacic
We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale. AAAI (2021)
Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic
Meta-Learning and Self-Supervised Pretraining for Real World Image Translation. CoRR (2021)
Ileana Rugina, Rumen Dangovski, Li Jing, Preslav Nakov, Marin Soljacic
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks. CoRR (2020)
Allan Costa, Rumen Dangovski, Samuel Kim, Pawan Goyal, Marin Soljacic, Joseph Jacobson
Interpretable Neuroevolutionary Models for Learning Non-Differentiable Functions and Programs. CoRR (2020)
Guillem Ramírez, Rumen Dangovski, Preslav Nakov, Marin Soljacic
On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning. CoRR (2020)
Matthew Khoury, Rumen Dangovski, Longwu Ou, Preslav Nakov, Yichen Shen, Li Jing
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications. EMNLP (1) (2020)
Evan Vogelbaum, Rumen Dangovski, Li Jing, Marin Soljacic
Contextualizing Enhances Gradient Based Meta Learning. CoRR (2020)
Matthew Khoury, Rumen Dangovski, Longwu Ou, Preslav Nakov, Yichen Shen, Li Jing
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications. CoRR (2020)
Rumen Dangovski, Li Jing, Preslav Nakov, Mico Tatalovic, Marin Soljacic
Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications. Trans. Assoc. Comput. Linguistics 7 (2019)
Rumen Dangovski, Li Jing, Marin Soljacic
Rotational Unit of Memory. ICLR (Workshop) (2018)
Ivan Ivanov, Li Jing, Rumen Dangovski
Improving the Performance of Unitary Recurrent Neural Networks and Their Application in Real-life Tasks. CompSysTech (2018)
Li Jing, Rumen Dangovski, Marin Soljacic
WaveletNet: Logarithmic Scale Efficient Convolutional Neural Networks for Edge Devices. CoRR (2018)
Rumen Dangovski, Li Jing, Marin Soljacic
Rotational Unit of Memory. CoRR (2017)