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ORCIDN. Benjamin Erichson
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2020 – today
- 2024
[c17]N. Benjamin Erichson, Soon Hoe Lim, Winnie Xu, Francisco Utrera, Ziang Cao, Michael W. Mahoney:
NoisyMix: Boosting Model Robustness to Common Corruptions. AISTATS 2024: 4033-4041- [c16]Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W. Mahoney, Omri Azencot:
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs. ICLR 2024 - [c15]Annan Yu, Arnur Nigmetov, Dmitriy Morozov, Michael W. Mahoney, N. Benjamin Erichson:
Robustifying State-space Models for Long Sequences via Approximate Diagonalization. ICLR 2024 - [i37]Annan Yu, Michael W. Mahoney, N. Benjamin Erichson:
There is HOPE to Avoid HiPPOs for Long-memory State Space Models. CoRR abs/2405.13975 (2024) - [i36]Dongwei Lyu, Rie Nakata, Pu Ren, Michael W. Mahoney, Arben Pitarka, Nori Nakata, N. Benjamin Erichson:
WaveCastNet: An AI-enabled Wavefield Forecasting Framework for Earthquake Early Warning. CoRR abs/2405.20516 (2024) - [i35]Pu Ren, Rie Nakata, Maxime Lacour, Ilan Naiman, Nori Nakata, Jialin Song, Zhengfa Bi, Osman Asif Malik, Dmitriy Morozov, Omri Azencot, N. Benjamin Erichson, Michael W. Mahoney:
Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling. CoRR abs/2407.15089 (2024) - 2023
- [c14]Junwen Yao, N. Benjamin Erichson, Miles E. Lopes:
Error Estimation for Random Fourier Features. AISTATS 2023: 2348-2364 - [i34]Junwen Yao, N. Benjamin Erichson, Miles E. Lopes:
Error Estimation for Random Fourier Features. CoRR abs/2302.11174 (2023) - [i33]Riley Murray
, James Demmel, Michael W. Mahoney, N. Benjamin Erichson, Maksim Melnichenko, Osman Asif Malik, Laura Grigori, Piotr Luszczek, Michal Derezinski, Miles E. Lopes, Tianyu Liang, Hengrui Luo, Jack J. Dongarra:
Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software. CoRR abs/2302.11474 (2023) - [i32]Pu Ren, N. Benjamin Erichson, Shashank Subramanian, Omer San, Zarija Lukic, Michael W. Mahoney:
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning. CoRR abs/2306.14070 (2023) - [i31]Annan Yu, Arnur Nigmetov, Dmitriy Morozov, Michael W. Mahoney, N. Benjamin Erichson:
Robustifying State-space Models for Long Sequences via Approximate Diagonalization. CoRR abs/2310.01698 (2023) - [i30]Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W. Mahoney, Omri Azencot:
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs. CoRR abs/2310.02619 (2023) - 2022
- [c13]Soon Hoe Lim, N. Benjamin Erichson, Francisco Utrera, Winnie Xu, Michael W. Mahoney:
Noisy Feature Mixup. ICLR 2022 - [c12]T. Konstantin Rusch, Siddhartha Mishra, N. Benjamin Erichson, Michael W. Mahoney:
Long Expressive Memory for Sequence Modeling. ICLR 2022 - [i29]N. Benjamin Erichson, Soon Hoe Lim, Francisco Utrera, Winnie Xu, Ziang Cao, Michael W. Mahoney:
NoisyMix: Boosting Robustness by Combining Data Augmentations, Stability Training, and Noise Injections. CoRR abs/2202.01263 (2022) - [i28]Aditi S. Krishnapriyan, Alejandro F. Queiruga, N. Benjamin Erichson, Michael W. Mahoney:
Learning continuous models for continuous physics. CoRR abs/2202.08494 (2022) - [i27]N. Benjamin Erichson, Soon Hoe Lim, Michael W. Mahoney:
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback. CoRR abs/2212.00228 (2022) - 2021
- [c11]N. Benjamin Erichson, Omri Azencot, Alejandro F. Queiruga, Liam Hodgkinson, Michael W. Mahoney:
Lipschitz Recurrent Neural Networks. ICLR 2021 - [c10]Francisco Utrera, Evan Kravitz, N. Benjamin Erichson, Rajiv Khanna, Michael W. Mahoney:
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification. ICLR 2021 - [c9]Soon Hoe Lim, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney:
Noisy Recurrent Neural Networks. NeurIPS 2021: 5124-5137 - [c8]Alejandro F. Queiruga, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney:
Stateful ODE-Nets using Basis Function Expansions. NeurIPS 2021: 21770-21781 - [c7]N. Benjamin Erichson, Dane Taylor, Qixuan Wu, Michael W. Mahoney:
Noise-Response Analysis of Deep Neural Networks Quantifies Robustness and Fingerprints Structural Malware. SDM 2021: 100-108 - [i26]Soon Hoe Lim, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney:
Noisy Recurrent Neural Networks. CoRR abs/2102.04877 (2021) - [i25]Omri Azencot, N. Benjamin Erichson, Mirela Ben-Chen, Michael W. Mahoney:
A Differential Geometry Perspective on Orthogonal Recurrent Models. CoRR abs/2102.09589 (2021) - [i24]Alejandro F. Queiruga, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney:
Compressing Deep ODE-Nets using Basis Function Expansions. CoRR abs/2106.10820 (2021) - [i23]Soon Hoe Lim, N. Benjamin Erichson, Francisco Utrera, Winnie Xu, Michael W. Mahoney:
Noisy Feature Mixup. CoRR abs/2110.02180 (2021) - [i22]T. Konstantin Rusch, Siddhartha Mishra, N. Benjamin Erichson, Michael W. Mahoney:
Long Expressive Memory for Sequence Modeling. CoRR abs/2110.04744 (2021) - [i21]Reese Pathak, Rajat Sen, Nikhil Rao, N. Benjamin Erichson, Michael I. Jordan, Inderjit S. Dhillon:
Cluster-and-Conquer: A Framework For Time-Series Forecasting. CoRR abs/2110.14011 (2021) - 2020
- [j7]N. Benjamin Erichson, Krithika Manohar, Steven L. Brunton, J. Nathan Kutz:
Randomized CP tensor decomposition. Mach. Learn. Sci. Technol. 1(2): 25012 (2020) - [j6]N. Benjamin Erichson, Peng Zheng, Krithika Manohar, Steven L. Brunton, J. Nathan Kutz, Aleksandr Y. Aravkin:
Sparse Principal Component Analysis via Variable Projection. SIAM J. Appl. Math. 80(2): 977-1002 (2020) - [c6]Omri Azencot, N. Benjamin Erichson, Vanessa Lin, Michael W. Mahoney:
Forecasting Sequential Data Using Consistent Koopman Autoencoders. ICML 2020: 475-485 - [c5]Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney:
Error Estimation for Sketched SVD via the Bootstrap. ICML 2020: 6382-6392 - [c4]N. Benjamin Erichson, Zhewei Yao, Michael W. Mahoney:
JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks. ICPRAM 2020: 103-114 - [i20]Omri Azencot, N. Benjamin Erichson, Vanessa Lin, Michael W. Mahoney:
Forecasting Sequential Data using Consistent Koopman Autoencoders. CoRR abs/2003.02236 (2020) - [i19]Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney:
Error Estimation for Sketched SVD via the Bootstrap. CoRR abs/2003.04937 (2020) - [i18]N. Benjamin Erichson, Omri Azencot, Alejandro F. Queiruga, Michael W. Mahoney:
Lipschitz Recurrent Neural Networks. CoRR abs/2006.12070 (2020) - [i17]Francisco Utrera, Evan Kravitz, N. Benjamin Erichson, Rajiv Khanna, Michael W. Mahoney:
Adversarially-Trained Deep Nets Transfer Better. CoRR abs/2007.05869 (2020) - [i16]N. Benjamin Erichson, Dane Taylor, Qixuan Wu, Michael W. Mahoney:
Noise-response Analysis for Rapid Detection of Backdoors in Deep Neural Networks. CoRR abs/2008.00123 (2020) - [i15]Alejandro F. Queiruga, N. Benjamin Erichson, Dane Taylor, Michael W. Mahoney:
Continuous-in-Depth Neural Networks. CoRR abs/2008.02389 (2020)
2010 – 2019
- 2019
- [j5]N. Benjamin Erichson, Steven L. Brunton, J. Nathan Kutz:
Compressed dynamic mode decomposition for background modeling. J. Real Time Image Process. 16(5): 1479-1492 (2019) - [j4]N. Benjamin Erichson, Lionel Mathelin, J. Nathan Kutz, Steven L. Brunton:
Randomized Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. 18(4): 1867-1891 (2019) - [j3]Chen Gong, N. Benjamin Erichson, John P. Kelly, Laura C. Trutoiu, Brian T. Schowengerdt, Steven L. Brunton, Eric J. Seibel:
RetinaMatch: Efficient Template Matching of Retina Images for Teleophthalmology. IEEE Trans. Medical Imaging 38(8): 1993-2004 (2019) - [i14]N. Benjamin Erichson, Lionel Mathelin, Zhewei Yao, Steven L. Brunton, Michael W. Mahoney, J. Nathan Kutz:
Shallow Learning for Fluid Flow Reconstruction with Limited Sensors and Limited Data. CoRR abs/1902.07358 (2019) - [i13]N. Benjamin Erichson, Zhewei Yao, Michael W. Mahoney:
JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks. CoRR abs/1904.03750 (2019) - [i12]N. Benjamin Erichson, Michael Muehlebach, Michael W. Mahoney:
Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction. CoRR abs/1905.10866 (2019) - [i11]Zhe Bai, N. Benjamin Erichson, Muralikrishnan Gopalakrishnan Meena, Kunihiko Taira, Steven L. Brunton:
Randomized methods to characterize large-scale vortical flow network. CoRR abs/1909.00535 (2019) - [i10]Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney:
Bootstrapping the Operator Norm in High Dimensions: Error Estimation for Covariance Matrices and Sketching. CoRR abs/1909.06120 (2019) - 2018
- [j2]N. Benjamin Erichson, Ariana Mendible, Sophie Wihlborn, J. Nathan Kutz:
Randomized nonnegative matrix factorization. Pattern Recognit. Lett. 104: 1-7 (2018) - [i9]N. Benjamin Erichson, Lionel Mathelin, Steven L. Brunton, J. Nathan Kutz:
Diffusion Maps meet Nyström. CoRR abs/1802.08762 (2018) - [i8]N. Benjamin Erichson, Peng Zeng, Krithika Manohar, Steven L. Brunton, J. Nathan Kutz, Aleksandr Y. Aravkin:
Sparse Principal Component Analysis via Variable Projection. CoRR abs/1804.00341 (2018) - [i7]Chen Gong, N. Benjamin Erichson, John P. Kelly, Laura C. Trutoiu, Brian T. Schowengerdt, Steven L. Brunton, Eric J. Seibel:
RetinaMatch: Efficient Template Matching of Retina Images for Teleophthalmology. CoRR abs/1811.11874 (2018) - 2017
- [c3]Seth D. Pendergrass, Steven L. Brunton, J. Nathan Kutz, N. Benjamin Erichson, Travis Askham:
Dynamic Mode Decomposition for Background Modeling. ICCV Workshops 2017: 1862-1870 - [c2]N. Benjamin Erichson, Steven L. Brunton, J. Nathan Kutz:
Compressed Singular Value Decomposition for Image and Video Processing. ICCV Workshops 2017: 1880-1888 - [i6]N. Benjamin Erichson, Steven L. Brunton, J. Nathan Kutz:
Randomized Dynamic Mode Decomposition. CoRR abs/1702.02912 (2017) - [i5]N. Benjamin Erichson, Krithika Manohar, Steven L. Brunton, J. Nathan Kutz:
Randomized CP Tensor Decomposition. CoRR abs/1703.09074 (2017) - [i4]N. Benjamin Erichson, Ariana Mendible, Sophie Wihlborn, J. Nathan Kutz:
Randomized Nonnegative Matrix Factorization. CoRR abs/1711.02037 (2017) - 2016
- [j1]N. Benjamin Erichson, Carl Donovan:
Randomized low-rank Dynamic Mode Decomposition for motion detection. Comput. Vis. Image Underst. 146: 40-50 (2016) - [i3]N. Benjamin Erichson, Sergey Voronin, Steven L. Brunton, J. Nathan Kutz:
Randomized Matrix Decompositions using R. CoRR abs/1608.02148 (2016) - 2015
- [c1]J. Nathan Kutz, Xing Fu, Steven L. Brunton, N. Benjamin Erichson:
Multi-resolution Dynamic Mode Decomposition for Foreground/Background Separation and Object Tracking. ICCV Workshops 2015: 921-929 - [i2]N. Benjamin Erichson, Carl Donovan:
Randomized Low-Rank Dynamic Mode Decomposition for Motion Detection. CoRR abs/1512.03526 (2015) - [i1]N. Benjamin Erichson, Steven L. Brunton, J. Nathan Kutz:
Compressed Dynamic Mode Decomposition for Real-Time Object Detection. CoRR abs/1512.04205 (2015)
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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