Timm Hess

According to our database, Timm Hess authored at least 6 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Modular Memory is the Key to Continual Learning Agents.

Vaggelis Dorovatas, Malte Schwerin, Andrew D. Bagdanov, Lucas Caccia, Antonio Carta, Laurent Charlin, Barbara Hammer, Tyler L. Hayes, Timm Hess, Christopher Kanan, Dhireesha Kudithipudi, Xialei Liu, Vincenzo Lomonaco, Jorge Mendez-Mendez, Darshan Patil, Ameya Prabhu, Elisa Ricci, Tinne Tuytelaars, Gido M. van de Ven, Liyuan Wang, Joost van de Weijer, Jonghyun Choi, Martin Mundt, Rahaf Aljundi

CoRR, March, 2026

2025

Forgetting of task-specific knowledge in model merging-based continual learning.

Timm Hess, Gido M. van de Ven, Tinne Tuytelaars

CoRR, July, 2025

2024

Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting.

Timm Hess, Eli Verwimp, Gido M. van de Ven, Tinne Tuytelaars

Trans. Mach. Learn. Res., 2024

2023

Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How.

Timm Hess, Tinne Tuytelaars, Gido M. van de Ven

Proceedings of the 1st ContinualAI Unconference, 9 October 2023, Virtual, 2023

2021

A Procedural World Generation Framework for Systematic Evaluation of Continual Learning.

Timm Hess, Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2017

Large-Scale Stochastic Scene Generation and Semantic Annotation for Deep Convolutional Neural Network Training in the RoboCup SPL.

Timm Hess, Martin Mundt, Tobias Weis, Visvanathan Ramesh

Proceedings of the RoboCup 2017: Robot World Cup XXI [Nagoya, Japan, July 27-31, 2017]., 2017