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Erichson, N. Benjamin
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1

Learning continuous models for continuous physics:

Krishnapriyan, Aditi S. ; Queiruga, Alejandro F. ; Erichson, N. Benjamin.
Communications Physics.  6 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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2

A new twist on PIFE: photoisomerisation-related fluorescenc..:

Ploetz, Evelyn ; Ambrose, Benjamin ; Barth, Anders...
Methods and Applications in Fluorescence.  12 (2023)  1 - p. 012001 , 2023
Link: https://doi.org/10.1088/..
 
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3

Randomized Numerical Linear Algebra : A Perspective on the ..:

Murray, Riley ; Demmel, James ; Mahoney, Michael W...
http://arxiv.org/abs/2302.11474.  , 2023
Link: http://arxiv.org/abs/230..
 
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4

Learning continuous models for continuous physics:

Aditi S. Krishnapriyan ; Alejandro F. Queiruga ; N. Benjamin Erichson.
https://doi.org/10.1038/s42005-023-01433-4.  , 2023
Link: https://doi.org/10.1038/..
 
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5

Robustifying State-space Models for Long Sequences via Appr..:

Yu, Annan ; Nigmetov, Arnur ; Morozov, Dmitriy..
http://arxiv.org/abs/2310.01698.  , 2023
Link: http://arxiv.org/abs/231..
 
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6

Generative Modeling of Regular and Irregular Time Series Da..:

Naiman, Ilan ; Erichson, N. Benjamin ; Ren, Pu..
http://arxiv.org/abs/2310.02619.  , 2023
Link: http://arxiv.org/abs/231..
 
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7

Error Estimation for Random Fourier Features:

Yao, Junwen ; Erichson, N. Benjamin ; Lopes, Miles E
http://arxiv.org/abs/2302.11174.  , 2023
Link: http://arxiv.org/abs/230..
 
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8

A new twist on PIFE: photoisomerisation-related fluorescenc..:

Ploetz, Evelyn ; Ambrose, Benjamin ; Barth, Anders...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980184/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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9

SuperBench: A Super-Resolution Benchmark Dataset for Scient..:

Ren, Pu ; Erichson, N. Benjamin ; Subramanian, Shashank...
http://arxiv.org/abs/2306.14070.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

A new twist on PIFE: photoisomerisation-related fluorescenc..:

Ploetz, Evelyn ; Ambrose, Benjamin ; Barth, Anders...
http://arxiv.org/abs/2302.12455.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

Gated Recurrent Neural Networks with Weighted Time-Delay Fe..:

Erichson, N. Benjamin ; Lim, Soon Hoe ; Mahoney, Michael W
http://arxiv.org/abs/2212.00228.  , 2022
Link: http://arxiv.org/abs/221..
 
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12

NoisyMix: Boosting Model Robustness to Common Corruptions:

Erichson, N. Benjamin ; Lim, Soon Hoe ; Xu, Winnie...
http://arxiv.org/abs/2202.01263.  , 2022
Link: http://arxiv.org/abs/220..
 
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13

Learning continuous models for continuous physics:

Krishnapriyan, Aditi S ; Queiruga, Alejandro F ; Erichson, N. Benjamin.
http://arxiv.org/abs/2202.08494.  , 2022
Link: http://arxiv.org/abs/220..
 
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14

Long Expressive Memory for Sequence Modeling:

Rusch, T. Konstantin ; Mishra, Siddhartha ; Erichson, N. Benjamin.
http://arxiv.org/abs/2110.04744.  , 2021
Link: http://arxiv.org/abs/211..
 
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15

Noisy Recurrent Neural Networks:

Lim, Soon Hoe ; Erichson, N. Benjamin ; Hodgkinson, Liam.
http://arxiv.org/abs/2102.04877.  , 2021
Link: http://arxiv.org/abs/210..
 
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