Tom Jacobs

According to our database, Tom Jacobs authored at least 11 papers between 2014 and 2025.

Collaborative distances:

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

2025

Pay Attention to Small Weights.

Chao Zhou, Tom Jacobs, Advait Gadhikar, Rebekka Burkholz

CoRR, June, 2025

HAM: A Hyperbolic Step to Regulate Implicit Bias.

Tom Jacobs, Advait Gadhikar, Celia Rubio-Madrigal, Rebekka Burkholz

CoRR, June, 2025

Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?

Tom Jacobs, Chao Zhou, Rebekka Burkholz

CoRR, April, 2025

Sign-In to the Lottery: Reparameterizing Sparse Training From Scratch.

Advait Gadhikar, Tom Jacobs, Chao Zhou, Rebekka Burkholz

CoRR, April, 2025

Mask in the Mirror: Implicit Sparsification.

Tom Jacobs, Rebekka Burkholz

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

Automatic Tool Wear Inspection by Cascading Sensor and Image Data.

Robbert Verbeke, Lars De Pauw, Fabian Fingerhut, Tom Jacobs, Toon Goedemé, Elena Tsiporkova

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

MATWI: A Multimodal Automatic Tool Wear Inspection Dataset and Baseline Algorithms.

Lars De Pauw, Tom Jacobs, Toon Goedemé

Proceedings of the Computer Vision Systems: 14th International Conference, 2023

2022

ViSRE: A Unified Visual Analysis Dashboard for Proactive Cloud Outage Management.

Paula Kayongo, Jane Hoffswell, Shiv Kumar Saini, Shaddy Garg, Eunyee Koh, Haoliang Wang, Tom Jacobs

Proceedings of the Working Conference on Software Visualization, 2022

Data-Driven Usage Profiling and Anomaly Detection in Support of Sustainable Machining Processes.

Fabian Fingerhut, Chaitra Harsha, Amirmohammad Eghbalian, Tom Jacobs, Mahdi Tabassian, Robbert Verbeke, Elena Tsiporkova

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2019

A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes.

Mathias Van Herreweghe, Mathias Verbeke, Wannes Meert, Tom Jacobs

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2014

Development of iBsafe: A Collaborative, Theory-based Approach to Creating a Mobile Game Application for Child Safety.

Cinnamon A. Dixon, Robert Ammerman, Judith W. Dexheimer, Benjamin Meyer, Heekyoung Jung, Boyd Johnson, Jennifer Elliott, Tom Jacobs, Wendy J. Pomerantz, E. Melinda Mahabee-Gittens

Proceedings of the AMIA 2014, 2014