Improving the Performance of Unitary Recurrent Neural Networks and Their Application in Real-life Tasks. - Ivan Ivanov; Li Jing 001; Rumen Dangovski (CompSysTech, 2018)

Rotational Unit of Memory. - Rumen Dangovski; Li Jing 001; Marin Soljacic (ICLR (Workshop), 2018)

WaveletNet: Logarithmic Scale Efficient Convolutional Neural Networks for Edge Devices. - Li Jing 001; Rumen Dangovski; Marin Soljacic (CoRR, 2018)

Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications. - Rumen Dangovski; Li Jing 001; Preslav Nakov; Mico Tatalovic; Marin Soljacic (Trans. Assoc. Comput. Linguistics, 2019)

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 001; Li Jing 001 (EMNLP (1), 2020)

On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning. - Guillem Ramírez; Rumen Dangovski; Preslav Nakov; Marin Soljacic (CoRR, 2020)

Contextualizing Enhances Gradient Based Meta Learning. - Evan Vogelbaum; Rumen Dangovski; Li Jing 001; Marin Soljacic (CoRR, 2020)

Interpretable Neuroevolutionary Models for Learning Non-Differentiable Functions and Programs. - Allan dos Santos Costa; Rumen Dangovski; Samuel Kim; Pawan Goyal 004; Marin Soljacic; Joseph Jacobson (CoRR, 2020)

We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale. - Rumen Dangovski; Michelle Shen; Dawson Byrd; Li Jing 001; Desislava Tsvetkova; Preslav Nakov; Marin Soljacic (AAAI, 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 001 (IEEE BigData, 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)

Equivariant Contrastive Learning. - Rumen Dangovski; Li Jing 001; Charlotte Loh; Seungwook Han; Akash Srivastava; Brian Cheung; Pulkit Agrawal 001; Marin Soljacic (CoRR, 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 Self-Supervised Learning: Encouraging Equivariance in Representations. - Rumen Dangovski; Li Jing 001; Charlotte Loh; Seungwook Han; Akash Srivastava; Brian Cheung; Pulkit Agrawal 001; Marin Soljacic (ICLR, 2022)

DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. - Yung-Sung Chuang; Rumen Dangovski; Hongyin Luo; Yang Zhang 001; Shiyu Chang; Marin Soljacic; Shang-Wen Li 001; Scott Yih; Yoon Kim; James R. Glass (NAACL-HLT, 2022)

Discovering Conservation Laws using Optimal Transport and Manifold Learning. - Peter Y. Lu; Rumen Dangovski; Marin Soljacic (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)

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)

Koopman Operator learning for Accelerating Quantum Optimization and Machine Learning. - Di Luo; Jiayu Shen; Rumen Dangovski; Marin Soljacic (CoRR, 2022)

Asymmetric Grouped Convolutions for Logarithmic Scale Efficient Convolutional Neural Networks. - Li Jing 001; Rumen Dangovski; Marin Soljacic (HPEC, 2023)

Manifold Transfer Networks for Lens Distortion Rectification. - Li Jing 001; Lay Jain; Rumen Dangovski; Marin Soljacic (HPEC, 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 (HPEC, 2023)

Contextualizing Enhances Gradient Based Meta Learning for Few Shot Image Classification. - Evan Vogelbaum; Rumen Dangovski; Li Jing 001; Marin Soljacic (HPEC, 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 (ICML, 2023)

Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries. - Charlotte Loh; Seungwook Han; Shivchander Sudalairaj; Rumen Dangovski; Kai Xu 016; Florian Wenzel; Marin Soljacic; Akash Srivastava (ICML, 2023)

QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning. - Di Luo; Jiayu Shen; Rumen Dangovski; Marin Soljacic (NeurIPS, 2023)

Model Stitching: Looking For Functional Similarity Between Representations. - Adriano Hernandez; Rumen Dangovski; Peter Y. Lu; 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 001; Pulkit Agrawal 001; Dimitris N. Metaxas; Leonid Karlinsky; Tsui-Wei Weng; Akash Srivastava (CoRR, 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)

Learning to Optimize Quasi-Newton Methods. - Isaac Liao; Rumen Dangovski; Jakob Nicolaus Foerster; Marin Soljacic (Trans. Mach. Learn. Res., 2023)

Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging. - Charlotte Loh; Rumen Dangovski; Shivchander Sudalairaj; Seungwook Han; Ligong Han; Leonid Karlinsky; Marin Soljacic; Akash Srivastava (Trans. Mach. Learn. Res., 2023)

Representation Learning Through the Lens of Science: Symmetry, Language and Symbolic Inductive Biases - Rumen Dangovski (2023)

Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks. - Ileana Rugina; Rumen Dangovski; Li Jing 001; Preslav Nakov; Marin Soljacic (LREC/COLING, 2024)

QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation. - Zhuo Chen; Rumen Dangovski; Charlotte Loh; Owen Dugan; Di Luo; Marin Soljacic (NeurIPS, 2024)

OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step. - Owen Dugan; Donato Jiménez-Benetó; Charlotte Loh; Zhuo Chen; Rumen Dangovski; Marin Soljacic (NeurIPS, 2024)