Erichson, N. Benjamin

22 publications

NeurIPS 2025 Block-Biased Mamba for Long-Range Sequence Processing Annan Yu, N. Benjamin Erichson

TMLR 2025 Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting Soon Hoe Lim, Yijin Wang, Annan Yu, Emma Hart, Michael W. Mahoney, Sherry Li, N. Benjamin Erichson

ICML 2025 Emoji Attack: Enhancing Jailbreak Attacks Against Judge LLM Detection Zhipeng Wei, Yuqi Liu, N. Benjamin Erichson

AISTATS 2025 Gated Recurrent Neural Networks with Weighted Time-Delay Feedback N. Benjamin Erichson, Soon Hoe Lim, Michael W. Mahoney

ICLR 2025 HOPE for a Robust Parameterization of Long-Memory State Space Models Annan Yu, Michael W. Mahoney, N. Benjamin Erichson

DMLR 2025 SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning Pu Ren, N. Benjamin Erichson, Junyi Guo, Shashank Subramanian, Omer San, Zarija Lukic, Michael W. Mahoney

ICLR 2025 Tuning Frequency Bias of State Space Models Annan Yu, Dongwei Lyu, Soon Hoe Lim, Michael W. Mahoney, N. Benjamin Erichson

ICLR 2024 Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W. Mahoney, Omri Azencot

ICLR 2024 Robustifying State-Space Models for Long Sequences via Approximate Diagonalization Annan Yu, Arnur Nigmetov, Dmitriy Morozov, Michael W. Mahoney, N. Benjamin Erichson

NeurIPSW 2023 Does In-Context Operator Learning Generalize to Domain-Shifted Settings? Jerry Weihong Liu, N. Benjamin Erichson, Kush Bhatia, Michael W. Mahoney, Christopher Re

AISTATS 2023 Error Estimation for Random Fourier Features Junwen Yao, N. Benjamin Erichson, Miles E. Lopes

ICLR 2022 Long Expressive Memory for Sequence Modeling T. Konstantin Rusch, Siddhartha Mishra, N. Benjamin Erichson, Michael W. Mahoney

ICLR 2022 Noisy Feature Mixup Soon Hoe Lim, N. Benjamin Erichson, Francisco Utrera, Winnie Xu, Michael W. Mahoney

ICLR 2021 Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification Francisco Utrera, Evan Kravitz, N. Benjamin Erichson, Rajiv Khanna, Michael W. Mahoney

ICLR 2021 Lipschitz Recurrent Neural Networks N. Benjamin Erichson, Omri Azencot, Alejandro Queiruga, Liam Hodgkinson, Michael W. Mahoney

NeurIPS 2021 Noisy Recurrent Neural Networks Soon Hoe Lim, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney

NeurIPS 2021 Stateful ODE-Nets Using Basis Function Expansions Alejandro Queiruga, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney

ICML 2020 Error Estimation for Sketched SVD via the Bootstrap Miles Lopes, N. Benjamin Erichson, Michael Mahoney

ICML 2020 Forecasting Sequential Data Using Consistent Koopman Autoencoders Omri Azencot, N. Benjamin Erichson, Vanessa Lin, Michael Mahoney

ICCVW 2017 Compressed Singular Value Decomposition for Image and Video Processing N. Benjamin Erichson, Steven L. Brunton, J. Nathan Kutz

ICCVW 2017 Dynamic Mode Decomposition for Background Modeling Seth D. Pendergrass, Steven L. Brunton, J. Nathan Kutz, N. Benjamin Erichson, Travis Askham

ICCVW 2015 Multi-Resolution Dynamic Mode Decomposition for Foreground/Background Separation and Object Tracking J. Nathan Kutz, Xing Fu, Steven L. Brunton, N. Benjamin Erichson