@article{li2020learning,
  title={Learning object-centric representations of multi-object scenes from multiple views},
  author={Li, Nanbo and Eastwood, Cian and Fisher, Robert},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={5656--5666},
  year={2020}
}

@article{chen2021roots,
  title={{ROOTS}: Object-centric representation and rendering of {3D} scenes},
  author={Chen, Chang and Deng, Fei and Ahn, Sungjin},
  journal={Journal of Machine Learning Research},
  volume={22},
  number={1},
  pages={11770--11805},
  year={2021}
}

@article{seeger2004gaussian,
  title={Gaussian processes for machine learning},
  author={Seeger, Matthias},
  journal={International journal of neural systems},
  volume={14},
  number={02},
  pages={69--106},
  year={2004},
  publisher={World Scientific}
}

@inproceedings{wilson2016deep,
  title={Deep kernel learning},
  author={Wilson, Andrew Gordon and Hu, Zhiting and Salakhutdinov, Ruslan and Xing, Eric P},
  booktitle={Artificial Intelligence and Statistics},
  pages={370--378},
  year={2016},
  organization={PMLR}
}

@inproceedings{sun2018differentiable,
  title={Differentiable compositional kernel learning for Gaussian processes},
  author={Sun, Shengyang and Zhang, Guodong and Wang, Chaoqi and Zeng, Wenyuan and Li, Jiaman and Grosse, Roger},
  booktitle={International Conference on Machine Learning},
  pages={4828--4837},
  year={2018},
  organization={PMLR}
}

@article{locatello2020object,
  title={Object-centric learning with slot attention},
  author={Locatello, Francesco and Weissenborn, Dirk and Unterthiner, Thomas and Mahendran, Aravindh and Heigold, Georg and Uszkoreit, Jakob and Dosovitskiy, Alexey and Kipf, Thomas},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={11525--11538},
  year={2020}
}

@article{kingma2013auto,
  title={Auto-encoding variational bayes},
  author={Kingma, Diederik P and Welling, Max},
  journal={arXiv preprint arXiv:1312.6114},
  year={2013}
}

@article{vaswani2017attention,
  title={Attention is all you need},
  author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, {\L}ukasz and Polosukhin, Illia},
  journal={Advances in Neural Information Processing Systems},
  volume={30},
  year={2017}
}

@article{burgess2018understanding,
  title={Understanding disentangling in $\beta${-VAE}},
  author={Burgess, Christopher P and Higgins, Irina and Pal, Arka and Matthey, Loic and Watters, Nick and Desjardins, Guillaume and Lerchner, Alexander},
  journal={arXiv:1804.03599},
  year={2018}
}

@article{johnson2010infants,
  title={How infants learn about the visual world},
  author={Johnson, Scott P},
  journal={Cognitive Science},
  volume={34},
  number={7},
  pages={1158--1184},
  year={2010},
  publisher={Wiley Online Library}
}

@article{fodor1988connectionism,
  title={Connectionism and cognitive architecture: A critical analysis},
  author={Fodor, Jerry A and Pylyshyn, Zenon W},
  journal={Cognition},
  volume={28},
  number={1-2},
  pages={3--71},
  year={1988},
  publisher={Elsevier}
}

@article{lake2017building,
  title={Building machines that learn and think like people},
  author={Lake, Brenden M and Ullman, Tomer D and Tenenbaum, Joshua B and Gershman, Samuel J},
  journal={Behavioral and brain sciences},
  volume={40},
  year={2017},
  publisher={Cambridge University Press}
}

@article{turnbull1997neuropsychology,
  title={The neuropsychology of object constancy},
  author={Turnbull, Oliver H and Carey, David P and McCarthy, Rosaleen A},
  journal={Journal of the International Neuropsychological Society},
  volume={3},
  number={3},
  pages={288--298},
  year={1997},
  publisher={Cambridge University Press}
}

@article{shepard1971mental,
  title={Mental rotation of three-dimensional objects},
  author={Shepard, Roger N and Metzler, Jacqueline},
  journal={Science},
  volume={171},
  number={3972},
  pages={701--703},
  year={1971},
  publisher={American Association for the Advancement of Science}
}

@article{kahneman1992reviewing,
  title={The reviewing of object files: Object-specific integration of information},
  author={Kahneman, Daniel and Treisman, Anne and Gibbs, Brian J},
  journal={Cognitive Psychology},
  volume={24},
  number={2},
  pages={175--219},
  year={1992},
  publisher={Elsevier}
}

@article{spelke2007core,
  title={Core knowledge},
  author={Spelke, Elizabeth S and Kinzler, Katherine D},
  journal={Developmental Science},
  volume={10},
  number={1},
  pages={89--96},
  year={2007},
  publisher={Wiley Online Library}
}

@article{schacter2012future,
  title={The future of memory: remembering, imagining, and the brain},
  author={Schacter, Daniel L and Addis, Donna Rose and Hassabis, Demis and Martin, Victoria C and Spreng, R Nathan and Szpunar, Karl K},
  journal={Neuron},
  volume={76},
  number={4},
  pages={677--694},
  year={2012},
  publisher={Elsevier}
}
@article{beaty2016creative,
  title={Creative cognition and brain network dynamics},
  author={Beaty, Roger E and Benedek, Mathias and Silvia, Paul J and Schacter, Daniel L},
  journal={Trends in Cognitive Sciences},
  volume={20},
  number={2},
  pages={87--95},
  year={2016},
  publisher={Elsevier}
}

@article{burgess2019monet,
  title={{MONet}: Unsupervised scene decomposition and representation},
  author={Burgess, Christopher P and Matthey, Loic and Watters, Nicholas and Kabra, Rishabh and Higgins, Irina and Botvinick, Matt and Lerchner, Alexander},
  journal={arXiv:1901.11390},
  year={2019}
}

@inproceedings{lin2019space,
  title={{SPACE}: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition},
  author={Lin, Zhixuan and Wu, Yi-Fu and Peri, Skand Vishwanath and Sun, Weihao and Singh, Gautam and Deng, Fei and Jiang, Jindong and Ahn, Sungjin},
  booktitle={International Conference on Learning Representations},
  year={2019}
}


@article{engelcke2021genesis,
  title={{GENESIS-v2}: Inferring unordered object representations without iterative refinement},
  author={Engelcke, Martin and Parker Jones, Oiwi and Posner, Ingmar},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  pages={8085--8094},
  year={2021}
}


@inproceedings{lin2020improving,
  title={Improving generative imagination in object-centric world models},
  author={Lin, Zhixuan and Wu, Yi-Fu and Peri, Skand and Fu, Bofeng and Jiang, Jindong and Ahn, Sungjin},
  booktitle={International Conference on Machine Learning},
  pages={6140--6149},
  year={2020},
  organization={PMLR}
}

@article{kosiorek2018sequential,
  title={Sequential attend, infer, repeat: Generative modelling of moving objects},
  author={Kosiorek, Adam and Kim, Hyunjik and Teh, Yee Whye and Posner, Ingmar},
  journal={Advances in Neural Information Processing Systems},
  volume={31},
  year={2018}
}

@inproceedings{jiang2019scalor,
  title={{SCALOR}: Generative World Models with Scalable Object Representations},
  author={Jiang, Jindong and Janghorbani, Sepehr and De Melo, Gerard and Ahn, Sungjin},
  booktitle={International Conference on Learning Representations},
  year={2019}
}

@article{kabra2021simone,
  title={{SIMONe}: View-invariant, temporally-abstracted object representations via unsupervised video decomposition},
  author={Kabra, Rishabh and Zoran, Daniel and Erdogan, Goker and Matthey, Loic and Creswell, Antonia and Botvinick, Matt and Lerchner, Alexander and Burgess, Chris},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  pages={20146--20159},
  year={2021}
}

@inproceedings{yuan2022unsupervised,
  title={Unsupervised learning of compositional scene representations from multiple unspecified viewpoints},
  author={Yuan, Jinyang and Li, Bin and Xue, Xiangyang},
  booktitle={AAAI Conference on Artificial Intelligence},
  pages={8971--8979},
  year={2022}
}

@article{eslami2016attend,
  title={Attend, infer, repeat: Fast scene understanding with generative models},
  author={SM Ali Eslami and Nicolas Heess and Theophane Weber and Yuval Tassa and David Szepesvari and Koray Kavukcuoglu and Geoffrey E. Hinton},
  journal={Advances in Neural Information Processing Systems},
  volume={29},
  year={2016}
}

@article{jaderberg2015spatial,
  title={Spatial {Transformer} networks},
  author={Max Jaderberg and Karen Simonyan and Andrew Zisserman and Koray Kavukcuoglu},
  journal={Advances in Neural Information Processing Systems},
  volume={28},
  year={2015}
}

@inproceedings{yuan2019generative,
  title={Generative modeling of infinite occluded objects for compositional scene representation},
  author={Yuan, Jinyang and Li, Bin and Xue, Xiangyang},
  booktitle={International Conference on Machine Learning},
  pages={7222--7231},
  year={2019},
  organization={PMLR}
}

@inproceedings{engelcke2020genesis,
  title={{GENESIS}: Generative Scene Inference and Sampling of Object-Centric Latent Representations},
  author={Martin Engelcke and Adam R. Kosiorek and Oiwi Parker Jones and Ingmar Posner},
  booktitle={International Conference on Learning Representations},
  year={2020},
}

@inproceedings{emami2021efficient,
  title={Efficient iterative amortized inference for learning symmetric and disentangled multi-object representations},
  author={Emami, Patrick and He, Pan and Ranka, Sanjay and Rangarajan, Anand},
  booktitle={International Conference on Machine Learning},
  pages={2970--2981},
  year={2021},
  organization={PMLR}
}

@article{eslami2018neural,
  title={Neural scene representation and rendering},
  author={Eslami, SM Ali and Jimenez Rezende, Danilo and Besse, Frederic and Viola, Fabio and Morcos, Ari S and Garnelo, Marta and Ruderman, Avraham and Rusu, Andrei A and Danihelka, Ivo and Gregor, Karol and others},
  journal={Science},
  volume={360},
  number={6394},
  pages={1204--1210},
  year={2018},
  publisher={American Association for the Advancement of Science}
}

@inproceedings{johnson2017clevr,
  title={{CLEVR}: A diagnostic dataset for compositional language and elementary visual reasoning},
  author={Justin Johnson and Bharath Hariharan and Laurens van der Maaten and Li Fei-Fei and C. Lawrence Zitnick and Ross Girshick},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
  pages={2901--2910},
  year={2017}
}

@inproceedings{nazarczuk2020shop,
  title={{SHOP-VRB}: A visual reasoning benchmark for object perception},
  author={Nazarczuk, Michal and Mikolajczyk, Krystian},
  booktitle={IEEE International Conference on Robotics and Automation},
  pages={6898--6904},
  year={2020},
  organization={IEEE}
}

@book{bishop2006pattern,
  title={Pattern recognition and machine learning},
  author={Bishop, Christopher M and Nasrabadi, Nasser M},
  year={2006},
  publisher={Springer}
}

@article{hubert1985comparing,
  title={Comparing partitions},
  author={Hubert, Lawrence and Arabie, Phipps},
  journal={Journal of classification},
  volume={2},
  number={1},
  pages={193--218},
  year={1985},
  publisher={Springer}
}

@article{xuan2010information,
  title={Information theoretic measures for clusterings comparison: Variants, properties, normalization and correction for chance},
  author={Xuan, Nguyen and Julien, Vinh and Wales, South and Bailey, James},
  journal={Journal of Machine Learning Research},
  year={2010},
}

@inproceedings{yuan2019spatial,
  title={Spatial mixture models with learnable deep priors for perceptual grouping},
  author={Yuan, Jinyang and Li, Bin and Xue, Xiangyang},
  booktitle={AAAI Conference on Artificial Intelligence},
  pages={9135--9142},
  year={2019}
}

@inproceedings{yuan2021knowledge,
  title={Knowledge-Guided Object Discovery with Acquired Deep Impressions},
  author={Yuan, Jinyang and Li, Bin and Xue, Xiangyang},
  booktitle={AAAI Conference on Artificial Intelligence},
  pages={10798--10806},
  year={2021}
}

@article{yuan2022compositional,
  title={Compositional Scene Representation Learning via Reconstruction: A Survey},
  author={Yuan, Jinyang and Chen, Tonglin and Li, Bin and Xue, Xiangyang},
  journal={arXiv:2202.07135},
  year={2022}
}

@book{rasmussen2006gaussian,
  title={Gaussian processes for machine learning},
  author={Rasmussen, Carl Edward and Williams, Christopher KI},
  volume={1},
  year={2006},
  publisher={Springer}
}

@article{garnelo2018neural,
  title={Neural processes},
  author={Garnelo, Marta and Schwarz, Jonathan and Rosenbaum, Dan and Viola, Fabio and Rezende, Danilo J and Eslami, SM and Teh, Yee Whye},
  journal={arXiv:1807.01622},
  year={2018}
}

@article{kim2019attentive,
  title={Attentive neural processes},
  author={Kim, Hyunjik and Mnih, Andriy and Schwarz, Jonathan and Garnelo, Marta and Eslami, Ali and Rosenbaum, Dan and Vinyals, Oriol and Teh, Yee Whye},
  journal={arXiv:1901.05761},
  year={2019}
}

@article{deng2020modeling,
  title={Modeling continuous stochastic processes with dynamic normalizing flows},
  author={Deng, Ruizhi and Chang, Bo and Brubaker, Marcus A and Mori, Greg and Lehrmann, Andreas},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={7805--7815},
  year={2020}
}

@article{norcliffe2021neural,
  title={Neural {ODE} processes},
  author={Norcliffe, Alexander and Bodnar, Cristian and Day, Ben and Moss, Jacob and Li{\`o}, Pietro},
  journal={arXiv:2103.12413},
  year={2021}
}

@inproceedings{song2021score,
  title={Score-based generative modeling through stochastic differential equations},
  author={Song, Yang and Sohl-Dickstein, Jascha and Kingma, Diederik P and Kumar, Abhishek and Ermon, Stefano and Poole, Ben},
  booktitle={International Conference on Learning Representations},
  year={2021}
}

@inproceedings{shi2021raven,
  title={Raven's Progressive Matrices Completion with Latent Gaussian Process Priors},
  author={Shi, Fan and Li, Bin and Xue, Xiangyang},
  booktitle={AAAI Conference on Artificial Intelligence},
  pages={9612--9620},
  year={2021}
}


@inproceedings{shi2022compositional,
  title={Compositional Law Parsing with Latent Random Functions},
  author={Shi, Fan and Li, Bin and Xue, Xiangyang},
  booktitle={International Conference on Learning Representations},
  year={2023}
}