Publications
The full list of my publcations is on my Google Scholar profile.
- Deep neural networks and tabular data: A survey
- Language models are realistic tabular data generators
- DeepTLF: Robust Deep Neural Networks for Heterogeneous Tabular Data
- A consistent and efficient evaluation strategy for attribution methods
- Relational Local Explanations
- BoxShrink: From Bounding Boxes to Segmentation Masks
- Robust cognitive load detection from wrist-band sensors
- A robust unsupervised ensemble of feature-based explanations using restricted boltzmann machines
- CancelOut: A Layer for Feature Selection in Deep Neural Networks
- Lithography hotspots detection using deep learning
- Lessons learned from the 1st Ariel Machine Learning Challenge: Correcting transiting exoplanet light curves for stellar spots
- Research on data augmentation for lithography hotspot detection using deep learning
- V Borisov, J Scheible
- 34th European Mask and Lithography Conference, 2018
- A novel approach for automatic common-centroid pattern generation
- Deep Neural Networks and Tabular Data: Inference, Generation, and Explainability
- V Borisov
- Phd Thesis, Universität Tübingen, 2023