Henni Ouerdane

According to our database, Henni Ouerdane authored at least 16 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

QuatIca: Advanced Numerical Linear Algebra and Optimization for Quaternionic Matrices in Python.

Valentin Leplat, Salman Ahmadi-Asl, Junjun Pan, Henni Ouerdane, Michael Ng

CoRR, March, 2026

Benchmarking Reinforcement Learning via Stochastic Converse Optimality: Generating Systems with Known Optimal Policies.

Sinan Ibrahim, Grégoire Ouerdane, Hadi Salloum, Henni Ouerdane, Stefan Streif, Pavel Osinenko

CoRR, March, 2026

HiFAKES: Synthetic Data for NILM Model Selection and Generalization Testing.

Ilia Kamyshev, Sahar Moghimian Hoosh, Henni Ouerdane

IEEE Access, 2026

2025

Fusion-ResNet: A Lightweight multi-label NILM Model Using PCA-ICA Feature Fusion.

Sahar Moghimian Hoosh, Ilia Kamyshev, Henni Ouerdane

CoRR, November, 2025

The curse of dimensionality: what lies beyond the capabilities of physics-informed neural networks.

Javier Penuela, Henni Ouerdane

CoRR, November, 2025

vleplat/QuatIca: v0.1.7.

Valentin Leplat, Junjun Pan, Salman Ahmadi-Asl, Henni Ouerdane, Michael Ng

Dataset, August, 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, July, 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, January, 2025

Enhancing Non-Intrusive Load Monitoring with Features Extracted by Independent Component Analysis.

Sahar Moghimian Hoosh, Ilia Kamyshev, Henni Ouerdane

CoRR, January, 2025

2024

The indoor agriculture industry: a promising player in demand response services.

Javier Penuela, Cecile Ben, Stepan Boldyrev, Laurent Gentzbittel, Henni Ouerdane

CoRR, 2024

Physics-informed appliance signatures generator for energy disaggregation.

Ilia Kamyshev, Sahar Moghimian Hoosh, Henni Ouerdane

CoRR, 2024

2023

Assessing the value of energy storage systems for distribution grid applications.

Sahar Moghimian Hoosh, Henni Ouerdane, Vladimir V. Terzija, David Pozo

CoRR, 2023

Combining model-predictive control and predictive reinforcement learning for stable quadrupedal robot locomotion.

Vyacheslav Kovalev, Anna Shkromada, Henni Ouerdane, Pavel Osinenko

CoRR, 2023

2020

Super-relaxation of space-time-quantized ensemble of energy loads.

Ilia Luchnikov, David Métivier, Henni Ouerdane, Michael Chertkov

CoRR, 2020

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

2019

Variational Autoencoder Reconstruction of Complex Many-Body Physics.

Ilia A. Luchnikov, Alexander Ryzhov, Pieter-Jan Stas, Sergey N. Filippov, Henni Ouerdane

Entropy, 2019