Mehmet Ozgur Turkoglu

18 papers A* 2A 1Journal 12Unranked 2

Year	Rank	Type	Title / 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`	Model-Agnostic, Temperature-Informed Sampling Enhances Cross-Year Crop Mapping with Deep Learning. CoRR Mehmet Ozgur Turkoglu, Selene Ledain, Helge Aasen
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
2023	—	`—`	Deep learning for vegetation classification from optical satellite image time series. Mehmet Ozgur Turkoglu
2022	J	`jnl`	Crop Classification Under Varying Cloud Cover With Neural Ordinary Differential Equations. IEEE Trans. Geosci. Remote. Sens. Nando Metzger, Mehmet Ozgur Turkoglu, Stefano D'Aronco, 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	J	`jnl`	Gating Revisited: Deep Multi-Layer RNNs That can be Trained. IEEE Trans. Pattern Anal. Mach. Intell. Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler
2021	J	`jnl`	Crop mapping from image time series: deep learning with multi-scale label hierarchies. CoRR Mehmet Ozgur Turkoglu, Stefano D'Aronco, Gregor Perich, Frank Liebisch, Constantin Streit, Konrad Schindler, Jan Dirk Wegner
2021	—	`conf`	Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision. 3DV Mehmet Ozgur Turkoglu, Eric Brachmann, Konrad Schindler, Gabriel J. Brostow, Áron Monszpart
2021	J	`jnl`	Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision. CoRR Mehmet Ozgur Turkoglu, Eric Brachmann, Konrad Schindler, Gabriel J. Brostow, Áron Monszpart
2020	J	`jnl`	Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations. CoRR Nando Metzger, Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler
2019	A*	`conf`	A Layer-Based Sequential Framework for Scene Generation with GANs. AAAI Mehmet Ozgur Turkoglu, William Thong, Luuk J. Spreeuwers, Berkay Kicanaoglu
2019	J	`jnl`	A Layer-Based Sequential Framework for Scene Generation with GANs. CoRR Mehmet Ozgur Turkoglu, William Thong, Luuk J. Spreeuwers, Berkay Kicanaoglu
2019	J	`jnl`	Gating Revisited: Deep Multi-layer RNNs That Can Be Trained. CoRR Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler
2018	A	`conf`	Incremental Learning-Based Adaptive Object Recognition for Mobile Robots. IROS Mehmet Ozgur Turkoglu, Frank Bart ter Haar, Nanda van der Stap
2017	—	`conf`	Texture-Based Eyebrow Recognition. BIOSIG Mehmet Ozgur Turkoglu, Tugçe Arican