Rumen Dangovski

45 papers A* 7Journal 27Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Active learning for photonics. CoRR Ryan Lopez, Charlotte Loh, Rumen Dangovski, Marin Soljacic
2025	J	`jnl`	A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios. CoRR Bernd Bohnet, Rumen Dangovski, Kevin Swersky, Sherry Moore, Arslan Chaudhry, Kathleen Kenealy, Noah Fiedel
2024	—	`conf`	Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks. LREC/COLING Ileana Rugina, Rumen Dangovski, Li Jing, Preslav Nakov, Marin Soljacic
2024	A*	`conf`	OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step. NeurIPS Owen Dugan, Donato Jiménez-Benetó, Charlotte Loh, Zhuo Chen, Rumen Dangovski, Marin Soljacic
2024	J	`jnl`	OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step. CoRR Owen Dugan, Donato Manuel Jimenez Beneto, Charlotte Loh, Zhuo Chen, Rumen Dangovski, Marin Soljacic
2024	A*	`conf`	QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation. NeurIPS Zhuo Chen, Rumen Dangovski, Charlotte Loh, Owen Dugan, Di Luo, Marin Soljacic
2024	J	`jnl`	QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation. CoRR Zhuo Chen, Rumen Dangovski, Charlotte Loh, Owen Dugan, Di Luo, Marin Soljacic
2023	—	`conf`	Asymmetric Grouped Convolutions for Logarithmic Scale Efficient Convolutional Neural Networks. HPEC Li Jing, Rumen Dangovski, Marin Soljacic
2023	J	`jnl`	Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies. CoRR Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava
2023	—	`conf`	Contextualizing Enhances Gradient Based Meta Learning for Few Shot Image Classification. HPEC Evan Vogelbaum, Rumen Dangovski, Li Jing, Marin Soljacic
2023	J	`jnl`	Learning to Optimize Quasi-Newton Methods. Trans. Mach. Learn. Res. Isaac Liao, Rumen Dangovski, Jakob Nicolaus Foerster, Marin Soljacic
2023	—	`conf`	Manifold Transfer Networks for Lens Distortion Rectification. HPEC Li Jing, Lay Jain, Rumen Dangovski, Marin Soljacic
2023	—	`conf`	Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation. HPEC Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic
2023	J	`jnl`	Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging. Trans. Mach. Learn. Res. Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
2023	J	`jnl`	Model Stitching: Looking For Functional Similarity Between Representations. CoRR Adriano Hernandez, Rumen Dangovski, Peter Y. Lu, Marin Soljacic
2023	A*	`conf`	Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries. ICML Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava
2023	J	`jnl`	Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries. CoRR Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava
2023	J	`jnl`	Multimodal Learning for Crystalline Materials. CoRR Viggo Moro, Charlotte Loh, Rumen Dangovski, Ali Ghorashi, Andrew Ma, Zhuo Chen, Peter Y. Lu, Thomas Christensen, Marin Soljacic
2023	A*	`conf`	Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows. ICML Owen M. Dugan, Peter Y. Lu, Rumen Dangovski, Di Luo, Marin Soljacic
2023	J	`jnl`	Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows. CoRR Owen Dugan, Peter Y. Lu, Rumen Dangovski, Di Luo, Marin Soljacic
2023	A*	`conf`	QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning. NeurIPS Di Luo, Jiayu Shen, Rumen Dangovski, Marin Soljacic
2023	—	`—`	Representation Learning Through the Lens of Science: Symmetry, Language and Symbolic Inductive Biases Rumen Dangovski
2022	J	`jnl`	AI-Assisted Discovery of Quantitative and Formal Models in Social Science. CoRR Julia Balla, Sihao Huang, Owen Dugan, Rumen Dangovski, Marin Soljacic
2022	—	`conf`	DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. NAACL-HLT Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-wen Li, Scott Yih, Yoon Kim, James R. Glass
2022	J	`jnl`	DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. CoRR Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-wen Li, Wen-tau Yih, Yoon Kim, James R. Glass
2022	J	`jnl`	Discovering Conservation Laws using Optimal Transport and Manifold Learning. CoRR Peter Y. Lu, Rumen Dangovski, Marin Soljacic
2022	A*	`conf`	Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations. ICLR Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
2022	J	`jnl`	Koopman Operator learning for Accelerating Quantum Optimization and Machine Learning. CoRR Di Luo, Jiayu Shen, Rumen Dangovski, Marin Soljacic
2022	J	`jnl`	On the Importance of Calibration in Semi-supervised Learning. CoRR Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
2021	—	`conf`	Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning. IEEE BigData Pooya Khorrami, Olga Simek, Brian Cheung, Mark Veillette, Rumen Dangovski, Ileana Rugina, Marin Soljacic, Pulkit Agrawal
2021	J	`jnl`	Equivariant Contrastive Learning. CoRR Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
2021	J	`jnl`	Meta-Learning and Self-Supervised Pretraining for Real World Image Translation. CoRR Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic
2021	J	`jnl`	Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science. CoRR Charlotte Loh, Thomas Christensen, Rumen Dangovski, Samuel Kim, Marin Soljacic
2021	A*	`conf`	We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale. AAAI Rumen Dangovski, Michelle Shen, Dawson Byrd, Li Jing, Desislava Tsvetkova, Preslav Nakov, Marin Soljacic
2020	J	`jnl`	Contextualizing Enhances Gradient Based Meta Learning. CoRR Evan Vogelbaum, Rumen Dangovski, Li Jing, Marin Soljacic
2020	J	`jnl`	Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks. CoRR Ileana Rugina, Rumen Dangovski, Li Jing, Preslav Nakov, Marin Soljacic
2020	J	`jnl`	Interpretable Neuroevolutionary Models for Learning Non-Differentiable Functions and Programs. CoRR Allan dos Santos Costa, Rumen Dangovski, Samuel Kim, Pawan Goyal, Marin Soljacic, Joseph Jacobson
2020	J	`jnl`	On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning. CoRR Guillem Ramírez, Rumen Dangovski, Preslav Nakov, Marin Soljacic
2020	—	`conf`	Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications. EMNLP (1) Matthew Khoury, Rumen Dangovski, Longwu Ou, Preslav Nakov, Yichen Shen, Li Jing
2020	J	`jnl`	Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications. CoRR Matthew Khoury, Rumen Dangovski, Longwu Ou, Preslav Nakov, Yichen Shen, Li Jing
2019	J	`jnl`	Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications. Trans. Assoc. Comput. Linguistics Rumen Dangovski, Li Jing, Preslav Nakov, Mico Tatalovic, Marin Soljacic
2018	—	`conf`	Improving the Performance of Unitary Recurrent Neural Networks and Their Application in Real-life Tasks. CompSysTech Ivan Ivanov, Li Jing, Rumen Dangovski
2018	—	`conf`	Rotational Unit of Memory. ICLR (Workshop) Rumen Dangovski, Li Jing, Marin Soljacic
2018	J	`jnl`	WaveletNet: Logarithmic Scale Efficient Convolutional Neural Networks for Edge Devices. CoRR Li Jing, Rumen Dangovski, Marin Soljacic
2017	J	`jnl`	Rotational Unit of Memory. CoRR Rumen Dangovski, Li Jing, Marin Soljacic