82 citations · 356 across the 60 of their papers we have counts for
11 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…
Feather: An Elegant Solution to Effective DNN Sparsification
Athanasios Glentis Georgoulakis, George Retsinas, Petros Maragos
Neural Network pruning is an increasingly popular way for producing compact and efficient models, suitable for resource-limited environments, while preserving high performance. Whi…
Matrix Factorization in Tropical and Mixed Tropical-Linear Algebras
Ioannis Kordonis, Emmanouil Theodosis, George Retsinas +1
Matrix Factorization (MF) has found numerous applications in Machine Learning and Data Mining, including collaborative filtering recommendation systems, dimensionality reduction, d…
Revisiting Tropical Polynomial Division: Theory, Algorithms and Application to Neural Networks
Ioannis Kordonis, Petros Maragos
Tropical geometry has recently found several applications in the analysis of neural networks with piecewise linear activation functions. This paper presents a new look at the probl…
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…
Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music
Agelos Kratimenos, Kleanthis Avramidis, Christos Garoufis +2
Instrument classification is one of the fields in Music Information Retrieval (MIR) that has attracted a lot of research interest. However, the majority of that is dealing with mon…
RecNets: Channel-wise Recurrent Convolutional Neural Networks
George Retsinas, Athena Elafrou, Georgios Goumas +1
In this paper, we introduce Channel-wise recurrent convolutional neural networks (RecNets), a family of novel, compact neural network architectures for computer vision tasks inspir…