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ORCIDPutri A. van der Linden
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2020 – today
- 2025
[i6]Putri A. van der Linden, Alexander Timans, Erik J. Bekkers:
CP2: Leveraging Geometry for Conformal Prediction via Canonicalization. CoRR abs/2506.16189 (2025)- [i5]Putri A. van der Linden, Alexander Timans, Dharmesh Tailor, Erik J. Bekkers:
On Equivariant Model Selection through the Lens of Uncertainty. CoRR abs/2506.18629 (2025) - 2024
- [c5]Derck W. E. Prinzhorn, Thijmen Nijdam, Putri A. van der Linden, Alexander Timans:
Conformal time series decomposition with component-wise exchangeability. COPA 2024: 432-465 - [c4]Erik J. Bekkers, Sharvaree P. Vadgama, Rob Hesselink, Putri A. van der Linden, David W. Romero:
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space. ICLR 2024 - [c3]Putri A. van der Linden, Alejandro García-Castellanos, Sharvaree P. Vadgama, Thijs P. Kuipers, Erik J. Bekkers:
Learning symmetries via weight-sharing with doubly stochastic tensors. NeurIPS 2024 - [i4]Derck W. E. Prinzhorn, Thijmen Nijdam, Putri A. van der Linden, Alexander Timans:
Conformal time series decomposition with component-wise exchangeability. CoRR abs/2406.16766 (2024) - [i3]Putri A. van der Linden, Alejandro García-Castellanos, Sharvaree P. Vadgama, Thijs P. Kuipers, Erik J. Bekkers:
Learning Symmetries via Weight-Sharing with Doubly Stochastic Tensors. CoRR abs/2412.04594 (2024) - 2023
- [c2]Radu A. Cosma, Lukas Knobel, Putri A. van der Linden, David M. Knigge, Erik J. Bekkers:
Geometric Superpixel Representations for Efficient Image Classification with Graph Neural Networks. ICCV (Workshops) 2023: 109-118 - [c1]Putri A. van der Linden, David W. Romero, Erik J. Bekkers:
Learned Gridification for Efficient Point Cloud Processing. TAG-ML 2023: 9-20 - [i2]Putri A. van der Linden, David W. Romero
, Erik J. Bekkers:
Learned Gridification for Efficient Point Cloud Processing. CoRR abs/2307.14354 (2023) - [i1]Erik J. Bekkers, Sharvaree P. Vadgama, Rob D. Hesselink, Putri A. van der Linden, David W. Romero:
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space. CoRR abs/2310.02970 (2023)
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