2 papers
cs.LG2025
STADE: Standard Deviation as a Pruning Metric
Diego Coello de Portugal Mecke, Haya Alyoussef, Maximilian Stubbemann +3
Recently, Large Language Models (LLMs) have become very widespread and are used to solve a wide variety of tasks. To successfully handle these tasks, LLMs require longer training t…
cs.LG2024
Marginalization Consistent Probabilistic Forecasting of Irregular Time Series via Mixture of Separable flows
Vijaya Krishna Yalavarthi, Randolf Scholz, Christian Kloetergens +3
Probabilistic forecasting models for joint distributions of targets in irregular time series with missing values are a heavily under-researched area in machine learning, with, to t…