Variational Autoencoder Reconstruction of Complex Many-Body Physics. - Ilia A. Luchnikov; Alexander Ryzhov; Pieter-Jan Stas; Sergey N. Filippov; Henni Ouerdane (Entropy, 2019)

Data-driven control of micro-climate in buildings; an event-triggered reinforcement learning approach. - Ashkan Haji Hosseinloo; Alexander Ryzhov; Aldo Bischi; Henni Ouerdane; Konstantin S. Turitsyn; Munther A. Dahleh (CoRR, 2020)

Super-relaxation of space-time-quantized ensemble of energy loads. - Ilia Luchnikov; David Métivier; Henni Ouerdane; Michael Chertkov (CoRR, 2020)

Combining model-predictive control and predictive reinforcement learning for stable quadrupedal robot locomotion. - Vyacheslav Kovalev; Anna Shkromada; Henni Ouerdane; Pavel Osinenko (CoRR, 2023)

Assessing the value of energy storage systems for distribution grid applications. - Sahar Moghimian Hoosh; Henni Ouerdane; Vladimir Terzija; David Pozo (CoRR, 2023)

Physics-informed appliance signatures generator for energy disaggregation. - Ilia Kamyshev; Sahar Moghimian Hoosh; Henni Ouerdane (CoRR, 2024)

The indoor agriculture industry: a promising player in demand response services. - Javier Penuela; Cecile Ben; Stepan Boldyrev; Laurent Gentzbittel; Henni Ouerdane (CoRR, 2024)

Enhancing Non-Intrusive Load Monitoring with Features Extracted by Independent Component Analysis. - Sahar Moghimian Hoosh; Ilia Kamyshev; Henni Ouerdane (CoRR, 2025)

Toward Explainable NILM: Real-Time Event-Based NILM Framework for High-Frequency Data. - Grigorii Gerasimov; Ilia Kamyshev; Sahar Moghimian Hoosh; Elena N. Gryazina; Henni Ouerdane (CoRR, 2025)

Indoor thermal comfort management: A Bayesian machine-learning approach to data denoising and dynamics prediction of HVAC systems. - Javier Penuela; Sahar Moghimian Hoosh; Ilia Kamyshev; Aldo Bischi; Henni Ouerdane (CoRR, 2025)