Alican Mertan

26 papers A 4B 1Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A conf
Controller Distillation Reduces Fragile Brain-Body Co-Adaptation and Enables Migrations in MAP-Elites.
GECCO
Alican Mertan, Nick Cheney
2025 J jnl
Controller Distillation Reduces Fragile Brain-Body Co-Adaptation and Enables Migrations in MAP-Elites.
CoRR
Alican Mertan, Nick Cheney
2025 J jnl
Evolutionary Brain-Body Co-Optimization Consistently Fails to Select for Morphological Potential.
CoRR
Alican Mertan, Nick Cheney
2025 J jnl
Morphological Cognition: Classifying MNIST Digits Through Morphological Computation Alone.
CoRR
Alican Mertan, Nick Cheney
2025 A conf
UniMLR: Modeling Implicit Class Significance for Multi-Label Ranking.
ECAI
Vahit Bugra Yesilkaynak, Emine Dari, Alican Mertan, Gozde Unal
2025 J jnl
UniMLR: Modeling Implicit Class Significance for Multi-Label Ranking.
CoRR
Vahit Bugra Yesilkaynak, Emine Dari, Alican Mertan, Gozde Unal
2024 B conf
Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtual Soft Robots.
EuroGP
Alican Mertan, Nick Cheney
2024 J jnl
Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtual Soft Robots.
CoRR
Alican Mertan, Nick Cheney
2024 — conf
No-brainer: Morphological Computation Driven Adaptive Behavior in Soft Robots.
SAB
Alican Mertan, Nick Cheney
2024 J jnl
No-brainer: Morphological Computation driven Adaptive Behavior in Soft Robots.
CoRR
Alican Mertan, Nick Cheney
2024 A conf
Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation.
GECCO
Alican Mertan, Nick Cheney
2024 J jnl
Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation.
CoRR
Alican Mertan, Nick Cheney
2023 J jnl
GaussianMLR: Learning Implicit Class Significance via Calibrated Multi-Label Ranking.
CoRR
Vahit Bugra Yesilkaynak, Emine Dari, Alican Mertan, Gozde Unal
2023 A conf
Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots.
GECCO
Alican Mertan, Nick Cheney
2023 J jnl
Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots.
CoRR
Alican Mertan, Nick Cheney
2022 J jnl
ODFNet: Using orientation distribution functions to characterize 3D point clouds.
Comput. Graph.
Yusuf Huseyin Sahin, Alican Mertan, Gozde Unal
2022 J jnl
RLSEP: Learning Label Ranks for Multi-label Classification.
CoRR
Emine Dari, Vahit Bugra Yesilkaynak, Alican Mertan, Gozde Unal
2022 J jnl
Single image depth estimation: An overview.
Digit. Signal Process.
Alican Mertan, Damien Jade Duff, Gozde Unal
2022 J jnl
Symmetry and Variance: Generative Parametric Modelling of Historical Brick Wall Patterns.
CoRR
Sevgi Altun, Mustafa Cem Günes, Yusuf Huseyin Sahin, Alican Mertan, Gozde Unal, Mine Özkar
2021 J jnl
Single Image Depth Estimation: An Overview.
CoRR
Alican Mertan, Damien Jade Duff, Gozde Unal
2021 — conf
Synthesizing Point Cloud Data Set for Historical Dome Systems.
CAAD Futures
Mustafa Cem Günes, Alican Mertan, Yusuf Hüseyin Sahin, Gozde Unal, Mine Özkar
2020 — conf
A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation.
3DV
Alican Mertan, Yusuf Huseyin Sahin, Damien Jade Duff, Gozde Unal
2020 J jnl
A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation.
CoRR
Alican Mertan, Yusuf Huseyin Sahin, Damien Jade Duff, Gözde B. Ünal
2020 J jnl
ODFNet: Using orientation distribution functions to characterize 3D point clouds.
CoRR
Yusuf Huseyin Sahin, Alican Mertan, Gözde B. Ünal
2020 J jnl
Relative Depth Estimation as a Ranking Problem.
CoRR
Alican Mertan, Damien Jade Duff, Gözde B. Ünal
2020 — conf
Siralama Sorunu Olarak Nispi Derinlik Tahmini Relative Depth Estimation as a Ranking Problem.
SIU
Alican Mertan, Damien Jade Duff, Gözde B. Ünal