N. Benjamin Erichson

84 papers A* 13A 4C 1Journal 63Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Is Flow Matching Just Trajectory Replay for Sequential Data? CoRR Soon Hoe Lim, Shizheng Lin, Michael W. Mahoney, N. Benjamin Erichson
2026	J	`jnl`	Is Reasoning Capability Enough for Safety in Long-Context Language Models? CoRR Yu Fu, Haz Sameen Shahgir, Huanli Gong, Zhipeng Wei, N. Benjamin Erichson, Yue Dong
2026	J	`jnl`	PRISM: Distribution-free Adaptive Computation of Matrix Functions for Accelerating Neural Network Training. CoRR Shenghao Yang, Zhichao Wang, Oleg Balabanov, N. Benjamin Erichson, Michael W. Mahoney
2026	J	`jnl`	Quantifying Epistemic Uncertainty in Diffusion Models. CoRR Aditi Gupta, Raphael A. Meyer, Yotam Yaniv, Elynn Chen, N. Benjamin Erichson
2026	J	`jnl`	Zatom-1: A Multimodal Flow Foundation Model for 3D Molecules and Materials. CoRR Alex Morehead, Miruna T. Cretu, Antonia Panescu, Rishabh Anand, Maurice Weiler, Tynan Perez, Samuel M. Blau, Steven Farrell, Wahid Bhimji, Anubhav Jain, Hrushikesh Sahasrabuddhe, Pietro Lio, Tommi S. Jaakkola, Rafael Gómez-Bombarelli, Rex Ying, N. Benjamin Erichson, Michael W. Mahoney
2025	J	`jnl`	A Deep State Space Model for Rainfall-Runoff Simulations. CoRR Yihan Wang, Lujun Zhang, Annan Yu, N. Benjamin Erichson, Tiantian Yang
2025	J	`jnl`	Block-Biased Mamba for Long-Range Sequence Processing. CoRR Annan Yu, N. Benjamin Erichson
2025	J	`jnl`	Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting. Trans. Mach. Learn. Res. Soon Hoe Lim, Yijin Wang, Annan Yu, Emma Hart, Michael W. Mahoney, Xiaoye Sherry Li, N. Benjamin Erichson
2025	A*	`conf`	Emoji Attack: Enhancing Jailbreak Attacks Against Judge LLM Detection. ICML Zhipeng Wei, Yuqi Liu, N. Benjamin Erichson
2025	J	`jnl`	FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems. CoRR N. Benjamin Erichson, Vinicius Mikuni, Dongwei Lyu, Yang Gao, Omri Azencot, Soon Hoe Lim, Michael W. Mahoney
2025	A	`conf`	Gated Recurrent Neural Networks with Weighted Time-Delay Feedback. AISTATS N. Benjamin Erichson, Soon Hoe Lim, Michael W. Mahoney
2025	A*	`conf`	HOPE for a Robust Parameterization of Long-memory State Space Models. ICLR Annan Yu, Michael W. Mahoney, N. Benjamin Erichson
2025	J	`jnl`	HPC-Driven Modeling with ML-Based Surrogates for Magnon-Photon Dynamics in Hybrid Quantum Systems. CoRR Jialin Song, Yingheng Tang, Pu Ren, Shintaro Takayoshi, Saurabh Sawant, Yujie Zhu, Jia-Mian Hu, Andy Nonaka, Michael W. Mahoney, N. Benjamin Erichson, Zhi Yao
2025	J	`jnl`	HydroDiffusion: Diffusion-Based Probabilistic Streamflow Forecasting with a State Space Backbone. CoRR Yihan Wang, Annan Yu, Lujun Zhang, Charuleka Varadharajan, N. Benjamin Erichson
2025	J	`jnl`	MatterChat: A Multi-Modal LLM for Material Science. CoRR Yingheng Tang, Wenbin Xu, Jie Cao, Jianzhu Ma, Weilu Gao, Steven Farrell, N. Benjamin Erichson, Michael W. Mahoney, Andy Nonaka, Zhi Yao
2025	J	`jnl`	Powerformer: A Transformer with Weighted Causal Attention for Time-series Forecasting. CoRR Kareem Hegazy, Michael W. Mahoney, N. Benjamin Erichson
2025	J	`jnl`	Removing Watermarks with Partial Regeneration using Semantic Information. CoRR Krti Tallam, John Kevin Cava, Caleb Geniesse, N. Benjamin Erichson, Michael W. Mahoney
2025	J	`jnl`	SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning. J. Data-centric Mach. Learn. Res. Pu Ren, N. Benjamin Erichson, Junyi Guo, Shashank Subramanian, Omer San, Zarija Lukic, Michael W. Mahoney
2025	A*	`conf`	Tuning Frequency Bias of State Space Models. ICLR Annan Yu, Dongwei Lyu, Soon Hoe Lim, Michael W. Mahoney, N. Benjamin Erichson
2024	J	`jnl`	Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting. CoRR Soon Hoe Lim, Yijin Wang, Annan Yu, Emma Hart, Michael W. Mahoney, Xiaoye S. Li, N. Benjamin Erichson
2024	J	`jnl`	Emoji Attack: A Method for Misleading Judge LLMs in Safety Risk Detection. CoRR Zhipeng Wei, Yuqi Liu, N. Benjamin Erichson
2024	J	`jnl`	Forecasting high-dimensional spatio-temporal systems from sparse measurements. Mach. Learn. Sci. Technol. Jialin Song, Zezheng Song, Pu Ren, N. Benjamin Erichson, Michael W. Mahoney, Xiaoye S. Li
2024	A*	`conf`	Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs. ICLR Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W. Mahoney, Omri Azencot
2024	J	`jnl`	Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling. CoRR 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
2024	A	`conf`	NoisyMix: Boosting Model Robustness to Common Corruptions. AISTATS N. Benjamin Erichson, Soon Hoe Lim, Winnie Xu, Francisco Utrera, Ziang Cao, Michael W. Mahoney
2024	A*	`conf`	Robustifying State-space Models for Long Sequences via Approximate Diagonalization. ICLR Annan Yu, Arnur Nigmetov, Dmitriy Morozov, Michael W. Mahoney, N. Benjamin Erichson
2024	J	`jnl`	There is HOPE to Avoid HiPPOs for Long-memory State Space Models. CoRR Annan Yu, Michael W. Mahoney, N. Benjamin Erichson
2024	J	`jnl`	Tuning Frequency Bias of State Space Models. CoRR Annan Yu, Dongwei Lyu, Soon Hoe Lim, Michael W. Mahoney, N. Benjamin Erichson
2024	J	`jnl`	WaveCastNet: An AI-enabled Wavefield Forecasting Framework for Earthquake Early Warning. CoRR Dongwei Lyu, Rie Nakata, Pu Ren, Michael W. Mahoney, Arben Pitarka, Nori Nakata, N. Benjamin Erichson
2023	A	`conf`	Error Estimation for Random Fourier Features. AISTATS Junwen Yao, N. Benjamin Erichson, Miles E. Lopes
2023	J	`jnl`	Error Estimation for Random Fourier Features. CoRR Junwen Yao, N. Benjamin Erichson, Miles E. Lopes
2023	J	`jnl`	Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs. CoRR Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W. Mahoney, Omri Azencot
2023	J	`jnl`	Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software. CoRR 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
2023	J	`jnl`	Robustifying State-space Models for Long Sequences via Approximate Diagonalization. CoRR Annan Yu, Arnur Nigmetov, Dmitriy Morozov, Michael W. Mahoney, N. Benjamin Erichson
2023	J	`jnl`	SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning. CoRR Pu Ren, N. Benjamin Erichson, Shashank Subramanian, Omer San, Zarija Lukic, Michael W. Mahoney
2022	J	`jnl`	Gated Recurrent Neural Networks with Weighted Time-Delay Feedback. CoRR N. Benjamin Erichson, Soon Hoe Lim, Michael W. Mahoney
2022	J	`jnl`	Learning continuous models for continuous physics. CoRR Aditi S. Krishnapriyan, Alejandro F. Queiruga, N. Benjamin Erichson, Michael W. Mahoney
2022	A*	`conf`	Long Expressive Memory for Sequence Modeling. ICLR T. Konstantin Rusch, Siddhartha Mishra, N. Benjamin Erichson, Michael W. Mahoney
2022	A*	`conf`	Noisy Feature Mixup. ICLR Soon Hoe Lim, N. Benjamin Erichson, Francisco Utrera, Winnie Xu, Michael W. Mahoney
2022	J	`jnl`	NoisyMix: Boosting Robustness by Combining Data Augmentations, Stability Training, and Noise Injections. CoRR N. Benjamin Erichson, Soon Hoe Lim, Francisco Utrera, Winnie Xu, Ziang Cao, Michael W. Mahoney
2021	J	`jnl`	A Differential Geometry Perspective on Orthogonal Recurrent Models. CoRR Omri Azencot, N. Benjamin Erichson, Mirela Ben-Chen, Michael W. Mahoney
2021	A*	`conf`	Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification. ICLR Francisco Utrera, Evan Kravitz, N. Benjamin Erichson, Rajiv Khanna, Michael W. Mahoney
2021	J	`jnl`	Cluster-and-Conquer: A Framework For Time-Series Forecasting. CoRR Reese Pathak, Rajat Sen, Nikhil Rao, N. Benjamin Erichson, Michael I. Jordan, Inderjit S. Dhillon
2021	J	`jnl`	Compressing Deep ODE-Nets using Basis Function Expansions. CoRR Alejandro F. Queiruga, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney
2021	A*	`conf`	Lipschitz Recurrent Neural Networks. ICLR N. Benjamin Erichson, Omri Azencot, Alejandro F. Queiruga, Liam Hodgkinson, Michael W. Mahoney
2021	J	`jnl`	Long Expressive Memory for Sequence Modeling. CoRR T. Konstantin Rusch, Siddhartha Mishra, N. Benjamin Erichson, Michael W. Mahoney
2021	A	`conf`	Noise-Response Analysis of Deep Neural Networks Quantifies Robustness and Fingerprints Structural Malware. SDM N. Benjamin Erichson, Dane Taylor, Qixuan Wu, Michael W. Mahoney
2021	J	`jnl`	Noisy Feature Mixup. CoRR Soon Hoe Lim, N. Benjamin Erichson, Francisco Utrera, Winnie Xu, Michael W. Mahoney
2021	A*	`conf`	Noisy Recurrent Neural Networks. NeurIPS Soon Hoe Lim, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney
2021	J	`jnl`	Noisy Recurrent Neural Networks. CoRR Soon Hoe Lim, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney
2021	A*	`conf`	Stateful ODE-Nets using Basis Function Expansions. NeurIPS Alejandro F. Queiruga, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney
2020	J	`jnl`	Adversarially-Trained Deep Nets Transfer Better. CoRR Francisco Utrera, Evan Kravitz, N. Benjamin Erichson, Rajiv Khanna, Michael W. Mahoney
2020	J	`jnl`	Continuous-in-Depth Neural Networks. CoRR Alejandro F. Queiruga, N. Benjamin Erichson, Dane Taylor, Michael W. Mahoney
2020	A*	`conf`	Error Estimation for Sketched SVD via the Bootstrap. ICML Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney
2020	J	`jnl`	Error Estimation for Sketched SVD via the Bootstrap. CoRR Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney
2020	A*	`conf`	Forecasting Sequential Data Using Consistent Koopman Autoencoders. ICML Omri Azencot, N. Benjamin Erichson, Vanessa Lin, Michael W. Mahoney
2020	J	`jnl`	Forecasting Sequential Data using Consistent Koopman Autoencoders. CoRR Omri Azencot, N. Benjamin Erichson, Vanessa Lin, Michael W. Mahoney
2020	C	`conf`	JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks. ICPRAM N. Benjamin Erichson, Zhewei Yao, Michael W. Mahoney
2020	J	`jnl`	Lipschitz Recurrent Neural Networks. CoRR N. Benjamin Erichson, Omri Azencot, Alejandro F. Queiruga, Michael W. Mahoney
2020	J	`jnl`	Noise-response Analysis for Rapid Detection of Backdoors in Deep Neural Networks. CoRR N. Benjamin Erichson, Dane Taylor, Qixuan Wu, Michael W. Mahoney
2020	J	`jnl`	Randomized CP tensor decomposition. Mach. Learn. Sci. Technol. N. Benjamin Erichson, Krithika Manohar, Steven L. Brunton, J. Nathan Kutz
2020	J	`jnl`	Sparse Principal Component Analysis via Variable Projection. SIAM J. Appl. Math. N. Benjamin Erichson, Peng Zheng, Krithika Manohar, Steven L. Brunton, J. Nathan Kutz, Aleksandr Y. Aravkin
2019	J	`jnl`	Bootstrapping the Operator Norm in High Dimensions: Error Estimation for Covariance Matrices and Sketching. CoRR Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney
2019	J	`jnl`	Compressed dynamic mode decomposition for background modeling. J. Real Time Image Process. N. Benjamin Erichson, Steven L. Brunton, J. Nathan Kutz
2019	J	`jnl`	JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks. CoRR N. Benjamin Erichson, Zhewei Yao, Michael W. Mahoney
2019	J	`jnl`	Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction. CoRR N. Benjamin Erichson, Michael Muehlebach, Michael W. Mahoney
2019	J	`jnl`	Randomized Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. N. Benjamin Erichson, Lionel Mathelin, J. Nathan Kutz, Steven L. Brunton
2019	J	`jnl`	Randomized methods to characterize large-scale vortical flow network. CoRR Zhe Bai, N. Benjamin Erichson, Muralikrishnan Gopalakrishnan Meena, Kunihiko Taira, Steven L. Brunton
2019	J	`jnl`	RetinaMatch: Efficient Template Matching of Retina Images for Teleophthalmology. IEEE Trans. Medical Imaging Chen Gong, N. Benjamin Erichson, John P. Kelly, Laura C. Trutoiu, Brian T. Schowengerdt, Steven L. Brunton, Eric J. Seibel
2019	J	`jnl`	Shallow Learning for Fluid Flow Reconstruction with Limited Sensors and Limited Data. CoRR N. Benjamin Erichson, Lionel Mathelin, Zhewei Yao, Steven L. Brunton, Michael W. Mahoney, J. Nathan Kutz
2018	J	`jnl`	Diffusion Maps meet Nyström. CoRR N. Benjamin Erichson, Lionel Mathelin, Steven L. Brunton, J. Nathan Kutz
2018	J	`jnl`	Randomized nonnegative matrix factorization. Pattern Recognit. Lett. N. Benjamin Erichson, Ariana Mendible, Sophie Wihlborn, J. Nathan Kutz
2018	J	`jnl`	RetinaMatch: Efficient Template Matching of Retina Images for Teleophthalmology. CoRR Chen Gong, N. Benjamin Erichson, John P. Kelly, Laura C. Trutoiu, Brian T. Schowengerdt, Steven L. Brunton, Eric J. Seibel
2018	J	`jnl`	Sparse Principal Component Analysis via Variable Projection. CoRR N. Benjamin Erichson, Peng Zeng, Krithika Manohar, Steven L. Brunton, J. Nathan Kutz, Aleksandr Y. Aravkin
2017	—	`conf`	Compressed Singular Value Decomposition for Image and Video Processing. ICCV Workshops N. Benjamin Erichson, Steven L. Brunton, J. Nathan Kutz
2017	—	`conf`	Dynamic Mode Decomposition for Background Modeling. ICCV Workshops Seth D. Pendergrass, Steven L. Brunton, J. Nathan Kutz, N. Benjamin Erichson, Travis Askham
2017	J	`jnl`	Randomized CP Tensor Decomposition. CoRR N. Benjamin Erichson, Krithika Manohar, Steven L. Brunton, J. Nathan Kutz
2017	J	`jnl`	Randomized Dynamic Mode Decomposition. CoRR N. Benjamin Erichson, Steven L. Brunton, J. Nathan Kutz
2017	J	`jnl`	Randomized Nonnegative Matrix Factorization. CoRR N. Benjamin Erichson, Ariana Mendible, Sophie Wihlborn, J. Nathan Kutz
2016	J	`jnl`	Randomized Matrix Decompositions using R. CoRR N. Benjamin Erichson, Sergey Voronin, Steven L. Brunton, J. Nathan Kutz
2016	J	`jnl`	Randomized low-rank Dynamic Mode Decomposition for motion detection. Comput. Vis. Image Underst. N. Benjamin Erichson, Carl Donovan
2015	J	`jnl`	Compressed Dynamic Mode Decomposition for Real-Time Object Detection. CoRR N. Benjamin Erichson, Steven L. Brunton, J. Nathan Kutz
2015	—	`conf`	Multi-resolution Dynamic Mode Decomposition for Foreground/Background Separation and Object Tracking. ICCV Workshops J. Nathan Kutz, Xing Fu, Steven L. Brunton, N. Benjamin Erichson
2015	J	`jnl`	Randomized Low-Rank Dynamic Mode Decomposition for Motion Detection. CoRR N. Benjamin Erichson, Carl Donovan