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  author={Dupont, Emilien and Goli{\'n}ski, Adam and Alizadeh, Milad and Teh, Yee Whye and Doucet, Arnaud},
  journal={arXiv preprint arXiv:2103.03123},
  year={2021}
}

@article{khosla2020supervised,
  title={Supervised contrastive learning},
  author={Khosla, Prannay and Teterwak, Piotr and Wang, Chen and Sarna, Aaron and Tian, Yonglong and Isola, Phillip and Maschinot, Aaron and Liu, Ce and Krishnan, Dilip},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
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  year={2020}
}

@inproceedings{chen2020simple,
  title={A simple framework for contrastive learning of visual representations},
  author={Chen, Ting and Kornblith, Simon and Norouzi, Mohammad and Hinton, Geoffrey},
  booktitle={International Conference on Machine Learning},
  pages={1597--1607},
  year={2020},
  organization={PMLR}
}

@inproceedings{chen2023which,
  title={Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks},
  author={Yixiong Chen and Alan Yuille and Zongwei Zhou},
  booktitle={The Eleventh International Conference on Learning Representations},
  year={2023},
}

@inproceedings{papa2024train,
  title={How to train neural field representations: A comprehensive study and benchmark},
  author={Papa, Samuele and Valperga, Riccardo and Knigge, David and Kofinas, Miltiadis and Lippe, Phillip and Sonke, Jan-Jakob and Gavves, Efstratios},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={22616--22625},
  year={2024}
}

@article{ma2024implicit,
  title={Implicit-zoo: A large-scale dataset of neural implicit functions for 2d images and 3d scenes},
  author={Ma, Qi and Paudel, Danda Pani and Konukoglu, Ender and Van Gool, Luc},
  journal={arXiv preprint arXiv:2406.17438},
  year={2024}
}

@article{schurholt2022hyper,
  title={Hyper-representations as generative models: Sampling unseen neural network weights},
  author={Sch{\"u}rholt, Konstantin and Knyazev, Boris and Gir{\'o}-i-Nieto, Xavier and Borth, Damian},
  journal={Advances in Neural Information Processing Systems},
  volume={35},
  pages={27906--27920},
  year={2022}
}

@article{hadramy2025cidir,
  title={cIDIR: Conditioned Implicit Neural Representation for Regularized Deformable Image Registration},
  author={Hadramy, Sidaty El and Cherkaoui, Oumeymah and Cattin, Philippe C},
  journal={arXiv preprint arXiv:2507.12953},
  year={2025}
}

@inproceedings{rahaman2019spectral,
  title={On the spectral bias of neural networks},
  author={Rahaman, Nasim and Baratin, Aristide and Arpit, Devansh and Draxler, Felix and Lin, Min and Hamprecht, Fred and Bengio, Yoshua and Courville, Aaron},
  booktitle={International Conference on Machine Learning},
  pages={5301--5310},
  year={2019},
  organization={PMLR}
}

@article{schurholt2022model,
  title={Model zoos: A dataset of diverse populations of neural network models},
  author={Sch{\"u}rholt, Konstantin and Taskiran, Diyar and Knyazev, Boris and Gir{\'o}-i-Nieto, Xavier and Borth, Damian},
  journal={Advances in Neural Information Processing Systems},
  volume={35},
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  year={2022}
}

@article{sideri2024sinr,
  title={SINR: Spline-enhanced implicit neural representation for multi-modal registration},
  author={Sideri-Lampretsa, Vasiliki and McGinnis, Julian and Qiu, Huaqi and Paschali, Magdalini and Simson, Walter and Rueckert, Daniel},
  journal={Medical Imaging with Deep Learning},
  pages={1462--1474},
  year={2024},
  publisher={PMLR}
}

@inproceedings{klocek2019hypernetwork,
  title={Hypernetwork functional image representation},
  author={Klocek, Sylwester and Maziarka, {\L}ukasz and Wo{\l}czyk, Maciej and Tabor, Jacek and Nowak, Jakub and {\'S}mieja, Marek},
  booktitle={International Conference on Artificial Neural Networks},
  pages={496--510},
  year={2019},
  organization={Springer}
}

@article{sitzmann2020metasdf,
  title={Metasdf: Meta-learning signed distance functions},
  author={Sitzmann, Vincent and Chan, Eric and Tucker, Richard and Snavely, Noah and Wetzstein, Gordon},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={10136--10147},
  year={2020}
}

@inproceedings{zhuang2023diffusion,
  title={Diffusion probabilistic fields},
  author={Zhuang, Peiye and Abnar, Samira and Gu, Jiatao and Schwing, Alex and Susskind, Joshua M and Bautista, Miguel Angel},
  booktitle={The Eleventh International Conference on Learning Representations},
  year={2023}
}

@inproceedings{vyas2025fit,
  title={Fit Pixels, Get Labels: Meta-learned Implicit Networks for Image Segmentation},
  author={Vyas, Kushal and Veeraraghavan, Ashok and Balakrishnan, Guha},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={194--203},
  year={2025},
  organization={Springer}
}

@article{mcginnis2025optimizing,
  title={Optimizing Rank for High-Fidelity Implicit Neural Representations},
  author={McGinnis, Julian and H{\"o}lzl, Florian A and Shit, Suprosanna and Bieder, Florentin and Friedrich, Paul and M{\"u}hlau, Mark and Menze, Bj{\"o}rn and Rueckert, Daniel and Wiestler, Benedikt},
  journal={arXiv preprint arXiv:2512.14366},
  year={2025}
}
