Search Results for author:
Found 7 papers, 1 papers with code
Temporal Attention Bottleneck is informative? Interpretability through Disentangled Generative Representations for Energy Time Series Disaggregation
Generative models have garnered significant attention for their ability to address the challenge of source separation in disaggregation tasks.
New penalized criteria for smooth non-negative tensor factorization with missing entries
We investigate several criteria used for non-negative tensor factorization in the case where some entries are missing.
Smooth nonnegative tensor factorization for multi-sites electrical load monitoring
The analysis of load curves collected from smart meters is a key step for many energy management tasks ranging from consumption forecasting to customers characterization and load monitoring.
Monotonic Alpha-divergence Minimisation for Variational Inference
In this paper, we introduce a novel family of iterative algorithms which carry out $\alpha$-divergence minimisation in a Variational Inference context.
Nonlinear Functional Output Regression: a Dictionary Approach
Then, in the more general setting of integral losses based on differentiable ground losses, KPL is implemented using first-order optimization for both fully and partially observed output functions.
Anomaly Detection and Localisation using Mixed Graphical Models
We propose a method that performs anomaly detection and localisation within heterogeneous data using a pairwise undirected mixed graphical model.
Aggregation of predictors for nonstationary sub-linear processes and online adaptive forecasting of time varying autoregressive processes
It is obtained by aggregating a finite number of well chosen predictors, each of them enjoying an optimal minimax convergence rate under specific smoothness conditions on the TVAR coefficients.
