Tom Jacobs

16 papers A* 2B 1C 1Misc 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Never Saddle for Reparameterized Steepest Descent as Mirror Flow.
CoRR
Tom Jacobs, Chao Zhou, Rebekka Burkholz
2025 J jnl
HAM: A Hyperbolic Step to Regulate Implicit Bias.
CoRR
Tom Jacobs, Advait Gadhikar, Celia Rubio-Madrigal, Rebekka Burkholz
2025 A* conf
Mask in the Mirror: Implicit Sparsification.
ICLR
Tom Jacobs, Rebekka Burkholz
2025 A* conf
Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
ICML
Tom Jacobs, Chao Zhou, Rebekka Burkholz
2025 J jnl
Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
CoRR
Tom Jacobs, Chao Zhou, Rebekka Burkholz
2025 J jnl
Pay Attention to Small Weights.
CoRR
Chao Zhou, Tom Jacobs, Advait Gadhikar, Rebekka Burkholz
2025 J jnl
Sign-In to the Lottery: Reparameterizing Sparse Training From Scratch.
CoRR
Advait Gadhikar, Tom Jacobs, Chao Zhou, Rebekka Burkholz
2025 J jnl
The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis.
CoRR
Hoang Pham, The-Anh Ta, Tom Jacobs, Rebekka Burkholz, Long Tran-Thanh
2024 J jnl
Mask in the Mirror: Implicit Sparsification.
CoRR
Tom Jacobs, Rebekka Burkholz
2023 — conf
Automatic Tool Wear Inspection by Cascading Sensor and Image Data.
PKDD/ECML Workshops (4)
Robbert Verbeke, Lars De Pauw, Fabian Fingerhut, Tom Jacobs, Toon Goedemé, Elena Tsiporkova
2023 C conf
MATWI: A Multimodal Automatic Tool Wear Inspection Dataset and Baseline Algorithms.
ICVS
Lars De Pauw, Tom Jacobs, Toon Goedemé
2022 — conf
Data-Driven Usage Profiling and Anomaly Detection in Support of Sustainable Machining Processes.
ICDM (Workshops)
Fabian Fingerhut, Chaitra Harsha, Amirmohammad Eghbalian, Tom Jacobs, Mahdi Tabassian, Robbert Verbeke, Elena Tsiporkova
2022 B conf
ViSRE: A Unified Visual Analysis Dashboard for Proactive Cloud Outage Management.
VISSOFT
Paula Kayongo, Jane Hoffswell, Shiv Kumar Saini, Shaddy Garg, Eunyee Koh, Haoliang Wang, Tom Jacobs
2019 — conf
A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes.
BNAIC/BENELEARN
Mathias Van Herreweghe, Mathias Verbeke, Wannes Meert, Tom Jacobs
2019 — conf
A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes.
PKDD/ECML Workshops (2)
Mathias Van Herreweghe, Mathias Verbeke, Wannes Meert, Tom Jacobs
2014 Misc conf
Development of iBsafe: A Collaborative, Theory-based Approach to Creating a Mobile Game Application for Child Safety.
AMIA
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