Bingni W. Brunton

35 papers A* 2C 1Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PySensors 2.0: A Python Package for Sparse Sensor Placement. J. Open Source Softw. Niharika Karnik, Yash Bhangale, Mohammad G. Abdo, Andrei A. Klishin, Joshua J. Cogliati, Bingni W. Brunton, J. Nathan Kutz, Steven L. Brunton, Krithika Manohar
2025	J	`jnl`	Arousal as a universal embedding for spatiotemporal brain dynamics. Nat. Ryan V. Raut, Zachary P. Rosenthal, Xiaodan Wang, Hanyang Miao, Zhanqi Zhang, Jin-Moo Lee, Marcus E. Raichle, Adam Q. Bauer, Steven L. Brunton, Bingni W. Brunton, J. Nathan Kutz
2025	J	`jnl`	MIMIC-MJX: Neuromechanical Emulation of Animal Behavior. CoRR Charles Y. Zhang, Yuanjia Yang, Aidan Sirbu, Elliott T. T. Abe, Emil Wärnberg, Eric J. Leonardis, Diego E. Aldarondo, Adam Lee, Aaditya Prasad, Jason Foat, Kaiwen Bian, Joshua Park, Rusham Bhatt, Hutton Saunders, Akira Nagamori, Ayesha R. Thanawalla, Kee Wui Huang, Fabian Plum, Hendrik K. Beck, Steven W. Flavell, David Labonte, Blake A. Richards, Bingni W. Brunton, Eiman Azim, Bence Ölveczky, Talmo D. Pereira
2025	J	`jnl`	PySensors 2.0: A Python Package for Sparse Sensor Placement. CoRR Niharika Karnik, Yash Bhangale, Mohammad G. Abdo, Andrei A. Klishin, Joshua J. Cogliati, Bingni W. Brunton, J. Nathan Kutz, Steven L. Brunton, Krithika Manohar
2024	J	`jnl`	Opportunities for machine learning in scientific discovery. CoRR Ricardo Vinuesa, Jean Rabault, Hossein Azizpour, Stefan Bauer, Bingni W. Brunton, Arne Elofsson, Elias Jarlebring, Hedvig Kjellström, Stefano Markidis, David Marlevi, Paola Cinnella, Steven L. Brunton
2023	A*	`conf`	BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CVPR Jennifer J. Sun, Lili Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John C. Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona
2023	J	`jnl`	Emergent behaviour and neural dynamics in artificial agents tracking odour plumes. Nat. Mac. Intell. Satpreet H. Singh, Floris van Breugel, Rajesh P. N. Rao, Bingni W. Brunton
2023	J	`jnl`	HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations. CoRR Mozes Jacobs, Bingni W. Brunton, Steven L. Brunton, J. Nathan Kutz, Ryan V. Raut
2022	J	`jnl`	BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CoRR Jennifer J. Sun, Pierre Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John C. Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona
2022	J	`jnl`	Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings. CoRR Sabera Talukder, Jennifer J. Sun, Matthew Leonard, Bingni W. Brunton, Yisong Yue
2022	J	`jnl`	Network inference via process motifs for lagged correlation in linear stochastic processes. CoRR Alice C. Schwarze, Sara M. Ichinaga, Bingni W. Brunton
2022	J	`jnl`	Neural-inspired Measurement Observability. CoRR Burak Boyacioglu, Alice C. Schwarze, Bingni W. Brunton, Kristi A. Morgansen
2022	J	`jnl`	PyNumDiff: A Python package for numerical differentiation of noisy time-series data. J. Open Source Softw. Floris van Breugel, Yuying Liu, Bingni W. Brunton, J. Nathan Kutz
2022	J	`jnl`	Structured random receptive fields enable informative sensory encodings. PLoS Comput. Biol. Biraj Pandey, Marius Pachitariu, Bingni W. Brunton, Kameron Decker Harris
2021	—	`conf`	Decoding Happiness from Neural and Video Recordings for Better Insight Into Emotional Processing in the Brain. EMBC Emil Azadian, Gautham Velchuru, Nancy Wang, Steven M. Peterson, Valentina Staneva, Bingni W. Brunton
2021	J	`jnl`	Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control. CoRR Urban Fasel, J. Nathan Kutz, Bingni W. Brunton, Steven L. Brunton
2021	J	`jnl`	PySensors: A Python Package for Sparse Sensor Placement. CoRR Brian M. de Silva, Krithika Manohar, Emily Clark, Bingni W. Brunton, Steven L. Brunton, J. Nathan Kutz
2021	J	`jnl`	PySensors: A Python package for sparse sensor placement. J. Open Source Softw. Brian M. de Silva, Krithika Manohar, Emily Clark, Bingni W. Brunton, J. Nathan Kutz, Steven L. Brunton
2021	—	`conf`	SINDy with Control: A Tutorial. CDC Urban Fasel, Eurika Kaiser, J. Nathan Kutz, Bingni W. Brunton, Steven L. Brunton
2021	J	`jnl`	Wing structure and neural encoding jointly determine sensing strategies in insect flight. PLoS Comput. Biol. Alison I. Weber, Thomas L. Daniel, Bingni W. Brunton
2020	J	`jnl`	Centering Data Improves the Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. Seth M. Hirsh, Kameron Decker Harris, J. Nathan Kutz, Bingni W. Brunton
2020	J	`jnl`	Numerical Differentiation of Noisy Data: A Unifying Multi-Objective Optimization Framework. IEEE Access Floris van Breugel, J. Nathan Kutz, Bingni W. Brunton
2020	J	`jnl`	Towards naturalistic human neuroscience and neuroengineering: behavior mining in long-term video and neural recordings. CoRR Satpreet H. Singh, Steven M. Peterson, Rajesh P. N. Rao, Bingni W. Brunton
2020	C	`conf`	Understanding biological plume tracking behavior using deep reinforcement-learning. ALIFE Satpreet H. Singh, Floris van Breugel, Rajesh P. N. Rao, Bingni W. Brunton
2019	J	`jnl`	Extracting Reproducible Time-Resolved Resting State Networks Using Dynamic Mode Decomposition. Frontiers Comput. Neurosci. James M. Kunert-Graf, Kristian M. Eschenburg, David J. Galas, J. Nathan Kutz, Swati D. Rane, Bingni W. Brunton
2018	A*	`conf`	AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video. AAAI Nancy Xin Ru Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton
2018	J	`jnl`	Sparsity enabled cluster reduced-order models for control. J. Comput. Phys. Eurika Kaiser, Marek Morzynski, Guillaume Daviller, J. Nathan Kutz, Bingni W. Brunton, Steven L. Brunton
2017	J	`jnl`	AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video. CoRR Nancy Xin Ru Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton
2017	J	`jnl`	Data-Driven Sparse Sensor Placement. CoRR Krithika Manohar, Bingni W. Brunton, J. Nathan Kutz, Steven L. Brunton
2016	—	`book`	Dynamic mode decomposition - data-driven modeling of complex systems. J. Nathan Kutz, Steven L. Brunton, Bingni W. Brunton, Joshua L. Proctor
2016	J	`jnl`	Multistep Model for Predicting Upper-Limb 3D Isometric Force Application from Pre-Movement Electrocorticographic Features. CoRR Jing Wu, Benjamin R. Shuman, Bingni W. Brunton, Katherine M. Steele, Jared D. Olson, Rajesh P. N. Rao, Jeffrey G. Ojemann
2016	—	`conf`	Multistep model for predicting upper-limb 3D isometric force application from pre-movement electrocorticographic features. EMBC Jing Wu, Benjamin R. Shuman, Bingni W. Brunton, Katherine M. Steele, Jared D. Olson, Rajesh P. N. Rao, Jeffrey G. Ojemann
2016	J	`jnl`	Sparse Sensor Placement Optimization for Classification. SIAM J. Appl. Math. Bingni W. Brunton, Steven L. Brunton, Joshua L. Proctor, J. Nathan Kutz
2013	J	`jnl`	A low-frequency oscillatory neural signal in humans encodes a developing decision variable. NeuroImage Jan Kubanek, Lawrence H. Snyder, Bingni W. Brunton, Carlos D. Brody, Gerwin Schalk
2013	J	`jnl`	Optimal Sensor Placement and Enhanced Sparsity for Classification. CoRR Bingni W. Brunton, Steven L. Brunton, Joshua L. Proctor, J. Nathan Kutz