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Timm Hess

2 accepted papers

2026

Position: Modular Memory is the Key to Continual Learning Agents

ICML 2026spotlight

Foundation models have transformed machine learning through large-scale pretraining, massive parameterization, and increased test-time compute. Despite surpassing human performance in several domains, these models remain fundamentally limited in continuous operation, experience accumulation, and per…

Cited by 0SourceScholar
2021

A Procedural World Generation Framework for Systematic Evaluation of Continual Learning

NeurIPS 2021poster

Several families of continual learning techniques have been proposed to alleviate catastrophic interference in deep neural network training on non-stationary data. However, a comprehensive comparison and analysis of limitations remains largely open due to the inaccessibility to suitable datasets. Em…

Cited by 9SourceScholar