Bingni W. Brunton

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 28

Top Topics

Stochastic Processes

Machine Learning

Sensor Placement

Top Venues

J. Open Source Softw.

PLoS Comput. Biol.

Publications

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
Opportunities for machine learning in scientific discovery. CoRR (2024)
Mozes Jacobs, Bingni W. Brunton, Steven L. Brunton, J. Nathan Kutz, Ryan V. Raut
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations. CoRR (2023)
Satpreet H. Singh, Floris van Breugel, Rajesh P. N. Rao, Bingni W. Brunton
Emergent behaviour and neural dynamics in artificial agents tracking odour plumes. Nat. Mac. Intell. 5 (1) (2023)
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
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CVPR (2023)
Burak Boyacioglu, Alice C. Schwarze, Bingni W. Brunton, Kristi A. Morgansen
Neural-inspired Measurement Observability. CoRR (2022)
Alice C. Schwarze, Sara M. Ichinaga, Bingni W. Brunton
Network inference via process motifs for lagged correlation in linear stochastic processes. CoRR (2022)
Sabera Talukder, Jennifer J. Sun, Matthew Leonard, Bingni W. Brunton, Yisong Yue
Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings. CoRR (2022)
Floris van Breugel, Yuying Liu, Bingni W. Brunton, J. Nathan Kutz
PyNumDiff: A Python package for numerical differentiation of noisy time-series data. J. Open Source Softw. 7 (71) (2022)
Jennifer J. Sun, Pierre Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. CoRR (2022)
Biraj Pandey, Marius Pachitariu, Bingni W. Brunton, Kameron Decker Harris
Structured random receptive fields enable informative sensory encodings. PLoS Comput. Biol. 18 (10) (2022)
Urban Fasel, Eurika Kaiser, J. Nathan Kutz, Bingni W. Brunton, Steven L. Brunton
SINDy with Control: A Tutorial. CDC (2021)
Brian M. de Silva, Krithika Manohar, Emily Clark, Bingni W. Brunton, J. Nathan Kutz, Steven L. Brunton
PySensors: A Python package for sparse sensor placement. J. Open Source Softw. 6 (58) (2021)
Emil Azadian, Gautham Velchuru, Nancy Wang, Steven M. Peterson, Valentina Staneva, Bingni W. Brunton
Decoding Happiness from Neural and Video Recordings for Better Insight Into Emotional Processing in the Brain. EMBC (2021)
Urban Fasel, J. Nathan Kutz, Bingni W. Brunton, Steven L. Brunton
Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control. CoRR (2021)
Brian M. de Silva, Krithika Manohar, Emily Clark, Bingni W. Brunton, Steven L. Brunton, J. Nathan Kutz
PySensors: A Python Package for Sparse Sensor Placement. CoRR (2021)
Alison I. Weber, Thomas L. Daniel, Bingni W. Brunton
Wing structure and neural encoding jointly determine sensing strategies in insect flight. PLoS Comput. Biol. 17 (8) (2021)
Seth M. Hirsh, Kameron Decker Harris, J. Nathan Kutz, Bingni W. Brunton
Centering Data Improves the Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. 19 (3) (2020)
Satpreet H. Singh, Floris van Breugel, Rajesh P. N. Rao, Bingni W. Brunton
Understanding biological plume tracking behavior using deep reinforcement-learning. ALIFE (2020)
Satpreet H. Singh, Steven M. Peterson, Rajesh P. N. Rao, Bingni W. Brunton
Towards naturalistic human neuroscience and neuroengineering: behavior mining in long-term video and neural recordings. CoRR (2020)
Floris van Breugel, J. Nathan Kutz, Bingni W. Brunton
Numerical Differentiation of Noisy Data: A Unifying Multi-Objective Optimization Framework. IEEE Access 8 (2020)
James M. Kunert-Graf, Kristian Eschenburg, David J. Galas, J. Nathan Kutz, Swati D. Rane, Bingni W. Brunton
Extracting Reproducible Time-Resolved Resting State Networks Using Dynamic Mode Decomposition. Frontiers Comput. Neurosci. 13 (2019)
Nancy Xin Ru Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton
AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video. AAAI (2018)
Eurika Kaiser, Marek Morzynski, Guillaume Daviller, J. Nathan Kutz, Bingni W. Brunton, Steven L. Brunton
Sparsity enabled cluster reduced-order models for control. J. Comput. Phys. 352 (2018)
Krithika Manohar, Bingni W. Brunton, J. Nathan Kutz, Steven L. Brunton
Data-Driven Sparse Sensor Placement. CoRR (2017)
Nancy Xin Ru Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton
AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video. CoRR (2017)
Jing Wu, Benjamin R. Shuman, Bingni W. Brunton, Katherine M. Steele, Jared D. Olson, Rajesh P. N. Rao, Jeffrey G. Ojemann
Multistep Model for Predicting Upper-Limb 3D Isometric Force Application from Pre-Movement Electrocorticographic Features. CoRR (2016)
Jing Wu, Benjamin R. Shuman, Bingni W. Brunton, Katherine M. Steele, Jared D. Olson, Rajesh P. N. Rao, Jeffrey G. Ojemann
Multistep model for predicting upper-limb 3D isometric force application from pre-movement electrocorticographic features. EMBC (2016)
Bingni W. Brunton, Steven L. Brunton, Joshua L. Proctor, J. Nathan Kutz
Sparse Sensor Placement Optimization for Classification. SIAM J. Appl. Math. 76 (5) (2016)
Jan Kubanek, Lawrence H. Snyder, Bingni W. Brunton, Carlos D. Brody, Gerwin Schalk
A low-frequency oscillatory neural signal in humans encodes a developing decision variable. NeuroImage 83 (2013)
Bingni W. Brunton, Steven L. Brunton, Joshua L. Proctor, J. Nathan Kutz
Optimal Sensor Placement and Enhanced Sparsity for Classification. CoRR (2013)