1 citations · 1 across the 2 of their papers we have counts for
3 papers
Does Synthetic Data Help? Empirical Evidence from Deep Learning Time Series Forecasters
Hugo Cazaux, Eyjólfur Ingi Ásgeirsson, Hlynur Stefánsson
Synthetic data has transformed language model training, yet its role in time series forecasting remains poorly understood. We present a large-scale empirical study: nine experiment…
Fine-tuning Timeseries Predictors Using Reinforcement Learning
Hugo Cazaux, Ralph Rudd, Hlynur Stefánsson +2
This chapter presents three major reinforcement learning algorithms used for fine-tuning financial forecasters. We propose a clear implementation plan for backpropagating the loss…
Wireless Network Stability in the SINR Model
Eyjolfur I. Asgeirsson, Magnus M. Halldorsson, Pradipta Mitra
We study the stability of wireless networks under stochastic arrival processes of packets, and design efficient, distributed algorithms that achieve stability in the SINR (Signal t…