Steffen Thoma

Personalized Neural Architecture Search

2021 · 2021 International Conference on Data Mining Workshops (ICDMW)

Existing approaches for Neural Architecture Search (NAS) aim at efficiently maximizing individual or sets of objectives (e.g. high accuracy or a low number of parameters) by exploiting Reinforcement Learning (RL), evolutionary algorithms, or Bayesian optimization. …

TSInterpret: A unified framework for time series interpretability

2022 · arXiv (Cornell University)

With the increasing application of deep learning algorithms to time series classification, especially in high-stake scenarios, the relevance of interpreting those algorithms becomes key. Although research in time series interpretability has grown, accessibility for practitioners …