Alican Mertan

According to our database, Alican Mertan authored at least 17 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Morphological Cognition: Classifying MNIST Digits Through Morphological Computation Alone.

Alican Mertan, Nick Cheney

CoRR, August, 2025

Evolutionary Brain-Body Co-Optimization Consistently Fails to Select for Morphological Potential.

Alican Mertan, Nick Cheney

CoRR, August, 2025

Controller Distillation Reduces Fragile Brain-Body Co-Adaptation and Enables Migrations in MAP-Elites.

Alican Mertan, Nick Cheney

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

UniMLR: Modeling Implicit Class Significance for Multi-Label Ranking.

Vahit Bugra Yesilkaynak, Emine Dari, Alican Mertan, Gozde Unal

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

No-brainer: Morphological Computation Driven Adaptive Behavior in Soft Robots.

Alican Mertan, Nick Cheney

Proceedings of the From Animals to Animats 17, 2024

Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation.

Alican Mertan, Nick Cheney

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtual Soft Robots.

Alican Mertan, Nick Cheney

Proceedings of the Genetic Programming - 27th European Conference, 2024

2023

GaussianMLR: Learning Implicit Class Significance via Calibrated Multi-Label Ranking.

Vahit Bugra Yesilkaynak, Emine Dari, Alican Mertan, Gozde Unal

CoRR, 2023

Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots.

Alican Mertan, Nick Cheney

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

Single image depth estimation: An overview.

Alican Mertan, Damien Jade Duff, Gozde Unal

Digit. Signal Process., 2022

RLSEP: Learning Label Ranks for Multi-label Classification.

Emine Dari, Vahit Bugra Yesilkaynak, Alican Mertan, Gozde Unal

CoRR, 2022

Symmetry and Variance: Generative Parametric Modelling of Historical Brick Wall Patterns.

Sevgi Altun, Mustafa Cem Günes, Yusuf Huseyin Sahin, Alican Mertan, Gozde Unal, Mine Özkar

CoRR, 2022

ODFNet: Using orientation distribution functions to characterize 3D point clouds.

Yusuf Huseyin Sahin, Alican Mertan, Gozde Unal

Comput. Graph., 2022

2021

Synthesizing Point Cloud Data Set for Historical Dome Systems.

Mustafa Cem Günes, Alican Mertan, Yusuf Hüseyin Sahin, Gozde Unal, Mine Özkar

Proceedings of the Computer-Aided Architectural Design. Design Imperatives: The Future is Now, 2021

2020

Relative Depth Estimation as a Ranking Problem.

Alican Mertan, Damien Jade Duff, Gözde B. Ünal

CoRR, 2020

Siralama Sorunu Olarak Nispi Derinlik Tahmini Relative Depth Estimation as a Ranking Problem.

Alican Mertan, Damien Jade Duff, Gözde B. Ünal

Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation.

Alican Mertan, Yusuf Huseyin Sahin, Damien Jade Duff, Gozde Unal

Proceedings of the 8th International Conference on 3D Vision, 2020