| From fourier to koopman: Spectral methods for long-term time series prediction H Lange, SL Brunton, JN Kutz Journal of Machine Learning Research 22 (41), 1-38, 2021 | 98 | 2021 |
| Bolt: Energy disaggregation by online binary matrix factorization of current waveforms H Lange, M Bergés Proceedings of the 3rd ACM International Conference on Systems for Energy …, 2016 | 30 | 2016 |
| The neural energy decoder: energy disaggregation by combining binary subcomponents H Lange, M Bergés Proceeding of the 3rd International Workshop on Non-Intrusive Load Monitoring, 2016 | 26 | 2016 |
| Efficient inference in dual-emission FHMM for energy disaggregation H Lange, M Bergés AAAI Conference on Artificial Intelligence, 248-254, 2016 | 19 | 2016 |
| Data-driven modeling of rotating detonation waves A Mendible, J Koch, H Lange, SL Brunton, JN Kutz Physical Review Fluids 6 (5), 050507, 2021 | 18 | 2021 |
| Electrical meter system for energy desegregation H Lange, JZ Kolter, M Berges US Patent 11,499,999, 2022 | 13 | 2022 |
| Learning to solve ac optimal power flow by differentiating through holomorphic embeddings H Lange, B Chen, M Berges, S Kar arXiv preprint arXiv:2012.09622, 2020 | 13 | 2020 |
| Design and implementation of a low-cost arduino-based high-frequency ac waveform meter board for the raspberry pi M Quintana, H Lange, M Bergés Proceedings of the 4th acm international conference on systems for energy …, 2017 | 11 | 2017 |
| Variational bolt: Approximate learning in factorial hidden markov models with application to energy disaggregation H Lange, M Bergés Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 9 | 2018 |
| Neural variational identification and filtering for stochastic non-linear dynamical systems with application to non-intrusive load monitoring H Lange, M Bergés, Z Kolter ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 8 | 2019 |
| Data-Driven operation of building systems: present challenges and future prospects M Bergés, H Lange, J Gao Advanced Computing Strategies for Engineering: 25th EG-ICE International …, 2018 | 7 | 2018 |
| Deep probabilistic Koopman: long-term time-series forecasting under periodic uncertainties AT Mallen, H Lange, JN Kutz International Journal of Forecasting 40 (3), 859-868, 2024 | 5 | 2024 |
| Dyna-Bolt: Domain Adaptive Binary Factorization Of Current Waveforms For Energy Disaggregation B Chen, J Liu, H Lange, M Bergés ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 2 | 2020 |
| Factornet: Learning to factorize intractable and multi-modal posterior distributions for energy disaggregation H Lange, M Bergés Proceedings of the 4th International Workshop on Non-Intrusive Load Monitoring, 2018 | 2 | 2018 |
| Disaggregation by state inference a probabilistic framework for non-intrusive load monitoring H Lange | 2 | 2016 |
| Fc2t2: The fast continuous convolutional taylor transform with applications in vision and graphics H Lange, JN Kutz arXiv preprint arXiv:2111.00110, 2021 | 1 | 2021 |
| Data-driven modeling of detonation wave interactions in rotating detonation engines A Mendible, J Koch, H Lange, S Brunton, N Kutz APS Division of Fluid Dynamics Meeting Abstracts, K09. 001, 2020 | 1 | 2020 |
| Spectral methods for time series prediction with application to fluid flows H Lange, S Brunton, N Kutz APS Division of Fluid Dynamics Meeting Abstracts, Q41. 008, 2019 | 1 | 2019 |
| Systems and methods for rendering of visuals and graphics H Lange, JN Kutz US Patent App. 18/331,034, 2024 | | 2024 |
| Variational Methods for Energy Systems H Lange Carnegie Mellon University, 2019 | | 2019 |
Mario BergésProfessor, Civil and Environmental Engineering Department, Carnegie Mellon UniversityGeverifieerd e-mailadres voor cmu.edu