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2020 – today
- 2023
[c4]David Reeb, Kanil Patel, Karim Said Barsim, Martin Schiegg, Sebastian Gerwinn:
Validation of composite systems by discrepancy propagation. UAI 2023: 1730-1740- 2022
- [b1]Kanil Patel:
Improving automotive radar spectra object classification using deep learning and multi-class uncertainty calibration. Stuttgart University, Germany, 2022 - [i5]David Reeb, Kanil Patel, Karim Said Barsim, Martin Schiegg, Sebastian Gerwinn:
Validation of Composite Systems by Discrepancy Propagation. CoRR abs/2210.12061 (2022) - 2021
- [c3]Kanil Patel, William H. Beluch, Bin Yang, Michael Pfeiffer, Dan Zhang:
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning. ICLR 2021 - [i4]Kanil Patel, William Beluch, Kilian Rambach, Adriana-Eliza Cozma, Michael Pfeiffer, Bin Yang:
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra. CoRR abs/2106.05870 (2021) - [i3]Kanil Patel, William Beluch, Kilian Rambach, Michael Pfeiffer, Bin Yang:
Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing. CoRR abs/2109.12851 (2021) - 2020
- [c2]Kanil Patel, William Beluch, Dan Zhang, Michael Pfeiffer, Bin Yang:
On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration. ICPR 2020: 8029-8036 - [i2]Kanil Patel, William Beluch, Bin Yang, Michael Pfeiffer, Dan Zhang:
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning. CoRR abs/2006.13092 (2020)
2010 – 2019
- 2019
- [i1]Kanil Patel, William Beluch, Dan Zhang, Michael Pfeiffer, Bin Yang:
On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration. CoRR abs/1912.07458 (2019) - 2018
- [c1]Kanil Patel, Samuel Groeschel, Thomas Schultz
:
Better Fiber ODFs from Suboptimal Data with Autoencoder Based Regularization. MICCAI (3) 2018: 55-62
Coauthor Index
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