Alexander Becker

14 papers A* 2Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-Attention Networks.
Trans. Mach. Learn. Res.
Dominik J. Mühlematter, Michelle Halbheer, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler, Mehmet Ozgur Turkoglu
2026 J jnl
Making Foundation Models Probabilistic via Singular Value Ensembles.
CoRR
Mehmet Ozgur Turkoglu, Dominik J. Mühlematter, Alexander Becker, Konrad Schindler, Helge Aasen
2025 J jnl
Continuous Space-Time Video Super-Resolution with 3D Fourier Fields.
CoRR
Alexander Becker, Julius Erbach, Dominik Narnhofer, Konrad Schindler
2025 J jnl
Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat Fields.
Trans. Mach. Learn. Res.
Alexander Becker, Rodrigo Caye Daudt, Dominik Narnhofer, Torben Peters, Nando Metzger, Jan Dirk Wegner, Konrad Schindler
2024 J jnl
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks.
CoRR
Michelle Halbheer, Dominik J. Mühlematter, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler, Mehmet Ozgur Turkoglu
2024 J jnl
Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion.
CoRR
Massimiliano Viola, Kevin Qu, Nando Metzger, Bingxin Ke, Alexander Becker, Konrad Schindler, Anton Obukhov
2024 J jnl
The unrealized potential of agroforestry for an emissions-intensive agricultural commodity.
CoRR
Alexander Becker, Jan D. Wegner, Evans Dawoe, Konrad Schindler, William J. Thompson, Christian Bunn, Rachael Garrett, Fabio Castro, Simon P. Hart, Wilma J. Blaser-Hart
2023 J jnl
Neural Fields with Thermal Activations for Arbitrary-Scale Super-Resolution.
CoRR
Alexander Becker, Rodrigo Caye Daudt, Nando Metzger, Jan Dirk Wegner, Konrad Schindler
2022 A* conf
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation.
NeurIPS
Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan D. Wegner, Konrad Schindler
2022 J jnl
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation.
CoRR
Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler
2022 A* conf
Learning Graph Regularisation for Guided Super-Resolution.
CVPR
Riccardo de Lutio, Alexander Becker, Stefano D'Aronco, Stefania Russo, Jan D. Wegner, Konrad Schindler
2022 J jnl
Learning Graph Regularisation for Guided Super-Resolution.
CoRR
Riccardo de Lutio, Alexander Becker, Stefano D'Aronco, Stefania Russo, Jan D. Wegner, Konrad Schindler
2021 J jnl
Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Bayesian Deep Learning.
CoRR
Alexander Becker, Stefania Russo, Stefano Puliti, Nico Lang, Konrad Schindler, Jan Dirk Wegner
2020 J jnl
Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions.
CoRR
Vladimir Golkov, Alexander Becker, Daniel T. Plop, Daniel Cuturilo, Neda Davoudi, Jeffrey L. Mendenhall, Rocco Moretti, Jens Meiler, Daniel Cremers