MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs

no code implementations • 23 May 2024 • Georgios Chatzigeorgakidis, Konstantinos Lentzos, Dimitrios Skoutas

We showcase the performance of our approach in terms of RMSE and execution time against state-of-the-art approaches on three real-world datasets.

Multivariate Time Series Forecasting Quantization +1

Pre-trained Embeddings for Entity Resolution: An Experimental Analysis [Experiment, Analysis & Benchmark]

1 code implementation • 24 Apr 2023 • Alexandros Zeakis, George Papadakis, Dimitrios Skoutas, Manolis Koubarakis

This is applied to both main steps of ER, i. e., blocking and matching.

Blocking Deep Learning

Atrapos: Real-time Evaluation of Metapath Query Workloads

1 code implementation • 11 Jan 2022 • Serafeim Chatzopoulos, Thanasis Vergoulis, Dimitrios Skoutas, Theodore Dalamagas, Christos Tryfonopoulos, Panagiotis Karras

In this paper, we present ATRAPOS, a new approach for the real-time evaluation of metapath query workloads that leverages a combination of efficient sparse matrix multiplication and intermediate result caching.

INODE: Building an End-to-End Data Exploration System in Practice [Extended Vision]

no code implementations • 9 Apr 2021 • Sihem Amer-Yahia, Georgia Koutrika, Frederic Bastian, Theofilos Belmpas, Martin Braschler, Ursin Brunner, Diego Calvanese, Maximilian Fabricius, Orest Gkini, Catherine Kosten, Davide Lanti, Antonis Litke, Hendrik Lücke-Tieke, Francesco Alessandro Massucci, Tarcisio Mendes de Farias, Alessandro Mosca, Francesco Multari, Nikolaos Papadakis, Dimitris Papadopoulos, Yogendra Patil, Aurélien Personnaz, Guillem Rull, Ana Sima, Ellery Smith, Dimitrios Skoutas, Srividya Subramanian, Guohui Xiao, Kurt Stockinger

We demonstrate that our system is uniquely accessible to a wide range of users from larger scientific communities to the public.

Management