Efficient Inference in Dual-Emission FHMM for Energy Disaggregation. - Henning Lange; Mario Berges (AAAI Workshop: AI for Smart Grids and Smart Buildings, 2016)

BOLT: Energy Disaggregation by Online Binary Matrix Factorization of Current Waveforms. - Henning Lange; Mario Berges (BuildSys, 2016)

Design and implementation of a low-cost arduino-based high-frequency AC waveform meter board for the raspberry pi. - Matias Quintana; Henning Lange; Mario Bergés (BuildSys, 2017)

Variational BOLT: Approximate Learning in Factorial Hidden Markov Models With Application to Energy Disaggregation. - Henning Lange; Mario Berges (AAAI, 2018)

Data-Driven Operation of Building Systems: Present Challenges and Future Prospects. - Mario Bergés; Henning Lange; Jingkun Gao (EG-ICE, 2018)

Neural Variational Identification and Filtering for Stochastic Non-linear Dynamical Systems with Application to Non-intrusive Load Monitoring. - Henning Lange; Mario Bergés; J. Zico Kolter (ICASSP, 2019)

Dyna-Bolt: Domain Adaptive Binary Factorization Of Current Waveforms For Energy Disaggregation. - Bingqing Chen; Jingxiao Liu; Henning Lange; Mario Bergés (ICASSP, 2020)

Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings. - Henning Lange; Bingqing Chen; Mario Berges; Soummya Kar (CoRR, 2020)

Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties. - Alex Mallen; Henning Lange; J. Nathan Kutz (CoRR, 2021)

FC2T2: The Fast Continuous Convolutional Taylor Transform with Applications in Vision and Graphics. - Henning Lange; J. Nathan Kutz (CoRR, 2021)

From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction. - Henning Lange; Steven L. Brunton; J. Nathan Kutz (J. Mach. Learn. Res., 2021)