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Erichson, N. Benjamin

  1. Forecasting Sequential Data using Consistent Koopman Autoencoders
    2020/03/04 by Azencot, Omri, Erichson, N. Benjamin, Lin, Vanessa +1 · 15 citations
    #Computational Physics (physics.comp-ph) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG)
  2. Lipschitz Recurrent Neural Networks
    2020/06/22 by N. Benjamin Erichson, Erichson, N. Benjamin, Omri Azencot +7 · 8 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Neural Networks and Applications #Machine Learning in Healthcare
  3. Long Expressive Memory for Sequence Modeling
    2021/10/10 by T. Konstantin Rusch, Rusch, T. Konstantin, Siddhartha Mishra +5 · 8 citations
    Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
  4. Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
    2023/10/04 by Ilan Naiman, Naiman, Ilan, N. Benjamin Erichson +7 · 11 citations
    Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Time Series Analysis and Forecasting
  5. Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software
    2023/02/22 by Riley Murray, James Demmel, Murray, Riley +23 · 9 citations
    Computer Science · Mathematics · #Stochastic Gradient Optimization Techniques #Tensor decomposition and applications #Parallel Computing and Optimization Techniques
  6. Continuous-in-Depth Neural Networks
    2020/08/05 by Alejandro F. Queiruga, Queiruga, Alejandro F., N. Benjamin Erichson +5 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  7. JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks
    2019/04/07 by Erichson, N. Benjamin, Yao, Zhewei, Mahoney, Michael W. · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  8. Learning continuous models for continuous physics
    2022/02/17 by Krishnapriyan, Aditi S., Queiruga, Alejandro F., Erichson, N. Benjamin +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning
    2023/06/24 by Pu Ren, N. Benjamin Erichson, Ren, Pu +10 · 4 citations
    Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Image and Signal Denoising Methods
  10. Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction
    2019/05/26 by N. Benjamin Erichson, Michael Muehlebach, Erichson, N. Benjamin +3 · 3 citations
    Computer Science · Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics and Turbulent Flows #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  11. Emoji Attack: Enhancing Jailbreak Attacks Against Judge LLM Detection
    2024/11/01 by Zhipeng Wei, Wei, Zhipeng, Yuqi Liu +3 · 6 citations
    Computer Science · Psychology · #Computation and Language (cs.CL) #Deception detection and forensic psychology #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Information and Cyber Security #Machine Learning (cs.LG)
  12. Tuning Frequency Bias of State Space Models
    2024/10/02 by Yu, Annan, Lyu, Dongwei, Lim, Soon Hoe +2 · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting
    2024/10/04 by Lim, Soon Hoe, Wang, Yijin, Yu, Annan +4 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. HOPE for a Robust Parameterization of Long-memory State Space Models
    2024/05/22 by Yu, Annan, Mahoney, Michael W., Erichson, N. Benjamin · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. Robustifying State-space Models for Long Sequences via Approximate Diagonalization
    2023/10/02 by Annan Yu, Arnur Nigmetov, Yu, Annan +7 · 2 citations
    Computer Science · Engineering · #Blind Source Separation Techniques #Advanced Memory and Neural Computing #Wireless Signal Modulation Classification
  16. NoisyMix: Boosting Model Robustness to Common Corruptions
    2022/02/02 by N. Benjamin Erichson, Erichson, N. Benjamin, Soon Hoe Lim +9 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling
    2024/07/21 by Ren, Pu, Nakata, Rie, Lacour, Maxime +9 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Machine Learning (cs.LG)
  18. WaveCastNet: Rapid Wavefield Forecasting for Earthquake Early Warning via Deep Sequence to Sequence Learning
    2024/05/30 by Lyu, Dongwei, Nakata, Rie, Ren, Pu +4 · 1 citation
    #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Machine Learning (cs.LG)
  19. Recency Biased Causal Attention for Time-series Forecasting
    2025/02/10 by Kareem Hegazy, Michael W. Mahoney, Hegazy, Kareem +3 · 1 citation
    Computer Science · Engineering · #Neural Networks and Applications #Time Series Analysis and Forecasting #Fault Detection and Control Systems
  20. FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems
    2025/05/23 by Erichson, N. Benjamin, Mikuni, Vinicius, Lyu, Dongwei +4 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Removing Watermarks with Partial Regeneration using Semantic Information
    2025/05/13 by Tallam, Krti, Cava, John Kevin, Geniesse, Caleb +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences