7 citations · 35 across the 24 of their papers we have counts for
8 papers · 1 filter
Diffusion-Based Scenario Tree Generation for Multivariate Time Series Prediction and Multistage Stochastic Optimization
Stelios Zarifis, Ioannis Kordonis, Petros Maragos
Stochastic forecasting is critical for efficient decision-making in uncertain systems, such as energy markets and finance, where estimating the full distribution of future scenario…
Diffusion-Based Forecasting for Uncertainty-Aware Model Predictive Control
Stelios Zarifis, Ioannis Kordonis, Petros Maragos
We propose Diffusion-Informed Model Predictive Control (D-I MPC), a generic framework for uncertainty-aware prediction and decision-making in partially observable stochastic system…
Advances in the training, pruning and enforcement of shape constraints of Morphological Neural Networks using Tropical Algebra
Nikolaos Dimitriadis, Petros Maragos
In this paper we study an emerging class of neural networks based on the morphological operators of dilation and erosion. We explore these networks mathematically from a tropical g…
Weight Pruning via Adaptive Sparsity Loss
George Retsinas, Athena Elafrou, Georgios Goumas +1
Pruning neural networks has regained interest in recent years as a means to compress state-of-the-art deep neural networks and enable their deployment on resource-constrained devic…
Tropical Geometry and Piecewise-Linear Approximation of Curves and Surfaces on Weighted Lattices
Petros Maragos, Emmanouil Theodosis
Tropical Geometry and Mathematical Morphology share the same max-plus and min-plus semiring arithmetic and matrix algebra. In this chapter we summarize some of their main ideas and…
Tropical Polynomial Division and Neural Networks
Georgios Smyrnis, Petros Maragos
In this work, we examine the process of Tropical Polynomial Division, a geometric method which seeks to emulate the division of regular polynomials, when applied to those of the ma…