%% Order references chronologically.
@article{rudin1992nonlinear,
  title={Nonlinear total variation based noise removal algorithms},
  author={Rudin, Leonid I and Osher, Stanley and Fatemi, Emad},
  journal={Physica D: nonlinear phenomena},
  volume={60},
  number={1-4},
  pages={259--268},
  year={1992},
  publisher={Elsevier}
}

@Article{comon1994independent,
  author    = {Comon, Pierre},
  journal   = {Signal processing},
  title     = {Independent component analysis, a new concept?},
  year      = {1994},
  number    = {3},
  pages     = {287--314},
  volume    = {36},
  groups    = {IncompleteConcepts},
  publisher = {Elsevier},
}

@Article{lam1994learningMDL,
  author    = {Lam, Wai and Bacchus, Fahiem},
  journal   = {Computational Intelligence},
  title     = {Learning Bayesian belief networks: An approach based on the MDL principle},
  year      = {1994},
  number    = {3},
  pages     = {269--293},
  volume    = {10},
  groups    = {IncompleteConcepts},
  publisher = {Wiley Online Library},
}

@article{hyvarinen1997fast,
  title={A fast fixed-point algorithm for independent component analysis},
  author={Hyv{\"a}rinen, Aapo and Oja, Erkki},
  journal={Neural computation},
  volume={9},
  number={7},
  pages={1483--1492},
  year={1997},
  publisher={MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info~…}
}

@Article{blomgren1998color,
  author    = {Blomgren, Peter and Chan, Tony F},
  journal   = {IEEE transactions on image processing},
  title     = {Color TV: total variation methods for restoration of vector-valued images},
  year      = {1998},
  number    = {3},
  pages     = {304--309},
  volume    = {7},
  groups    = {IncompleteConcepts},
  publisher = {IEEE},
}

@Article{hyvarinen1999,
  author   = {Aapo Hyvärinen and Petteri Pajunen},
  journal  = {Neural Networks},
  title    = {Nonlinear independent component analysis: Existence and uniqueness results},
  year     = {1999},
  issn     = {0893-6080},
  number   = {3},
  pages    = {429-439},
  volume   = {12},
  groups   = {IncompleteConcepts},
  keywords = {Independent component analysis, Blind source separation, Redundancy reduction, Feature extraction},
}

% 2000s

@book{hyvarinen2001independent,
  title={Independent component Analysis},
  author={Hyv{\"a}rinen, Aapo and Karhunen, Juha and Oja, Erkki},
  publisher={John Wiley \& Sons, Inc},
  year={2001}
}

@book{jolliffe2002principal,
  title={Principal component analysis},
  edition={2nd},
  author={Jolliffe, Ian T},
  year={2002},
  publisher={Springer}
}

@Article{chickering2002ges,
  author  = {Chickering, David Maxwell},
  journal = {Journal of Machine Learning Research},
  title   = {Optimal structure identification with greedy search},
  year    = {2002},
  number  = {Nov},
  pages   = {507--554},
  volume  = {3},
  groups  = {IncompleteConcepts},
}

@inproceedings{ommer2007learning,
  title={Learning the compositional nature of visual objects},
  author={Ommer, Bjorn and Buhmann, Joachim M},
  booktitle={2007 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2007}
}

@book{hyvarinen2009natural,
  title={Natural image statistics: A probabilistic approach to early computational vision.},
  author={Hyv{\"a}rinen, Aapo and Hurri, Jarmo and Hoyer, Patrick O},
  volume={39},
  year={2009},
  publisher={Springer Science \& Business Media}
}

@Book{pearl2009causality,
  author    = {Pearl, Judea},
  publisher = {Cambridge university press},
  title     = {Causality},
  year      = {2009},
  groups    = {IncompleteConcepts},
}

@article{baehrens2010explain,
  title={How to explain individual classification decisions},
  author={Baehrens, David and Schroeter, Timon and Harmeling, Stefan and Kawanabe, Motoaki and Hansen, Katja and M{\"u}ller, Klaus-Robert},
  journal={The Journal of Machine Learning Research},
  volume={11},
  pages={1803--1831},
  year={2010},
  publisher={JMLR. org}
}

@TechReport{Wah2011,
  author = {Wah, C. and Branson, S. and Welinder, P. and Perona, P. and Belongie, S.},
  title  = {{The Caltech-UCSD Birds-200-2011 Dataset}},
  year   = {2011},
  number = {CNS-TR-2011-001},
  groups = {SaliencyMapsEval},
  school = {California Institute of Technology},
}

% 2013
@article{kingma2013auto,
  title={Auto-encoding variational bayes},
  author={Kingma, Diederik P and Welling, Max},
  journal={arXiv preprint arXiv:1312.6114},
  year={2013}
}
@article{szegedy2013intriguing,
  title={Intriguing properties of neural networks},
  author={Szegedy, Christian and Zaremba, Wojciech and Sutskever, Ilya and Bruna, Joan and Erhan, Dumitru and Goodfellow, Ian and Fergus, Rob},
  journal={arXiv preprint arXiv:1312.6199},
  year={2013}
}
@article{bengio2013representation,
  title={Representation learning: A review and new perspectives},
  author={Bengio, Yoshua and Courville, Aaron and Vincent, Pascal},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={35},
  number={8},
  pages={1798--1828},
  year={2013},
  publisher={IEEE}
}

@article{simonyan2013deep,
  title={Deep inside convolutional networks: Visualising image classification models and saliency maps},
  author={Simonyan, Karen and Vedaldi, Andrea and Zisserman, Andrew},
  journal={arXiv preprint arXiv:1312.6034},
  year={2013}
}


% 2014
@article{goodfellow2014generative,
  title={Generative adversarial nets},
  author={Goodfellow, Ian and Pouget-Abadie, Jean and Mirza, Mehdi and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua},
  journal={Advances in neural information processing systems},
  volume={27},
  year={2014},
  groups = {IncompleteConcepts},
}

@article{russakovsky2015imagenet,
  title={Imagenet large scale visual recognition challenge},
  author={Russakovsky, Olga and Deng, Jia and Su, Hao and Krause, Jonathan and Satheesh, Sanjeev and Ma, Sean and Huang, Zhiheng and Karpathy, Andrej and Khosla, Aditya and Bernstein, Michael and others},
  journal={International journal of computer vision},
  volume={115},
  pages={211--252},
  year={2015},
  publisher={Springer}
}

%2016
@InProceedings{He2016,
  author    = {He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle = {Proceedings of the IEEE conference on computer vision and pattern recognition},
  title     = {Deep residual learning for image recognition},
  year      = {2016},
  pages     = {770--778},
  groups    = {SaliencyMapsEval},
}

@article{alain2016understanding,
  title={Understanding intermediate layers using linear classifier probes},
  author={Alain, Guillaume and Bengio, Yoshua},
  journal={arXiv preprint arXiv:1610.01644},
  year={2016}
}

% 2017
@InProceedings{higgins2017beta,
  author    = {Higgins, Irina and Matthey, Loic and Pal, Arka and Burgess, Christopher and Glorot, Xavier and Botvinick, Matthew and Mohamed, Shakir and Lerchner, Alexander},
  title     = {{B}eta-{VAE}: Learning basic visual concepts with a constrained variational framework},
  year      = {2017},
  booktitle = {International Conference on Learning Representations},
  groups    = {IncompleteConcepts},
}


@InProceedings{Smilkov2017,
  author    = {Smilkov, Daniel and Thorat, Nikhil and Kim, Been and Vi{\'e}gas, Fernanda and Wattenberg, Martin},
  booktitle = {Workshop on Visualization for Deep Learning, ICML},
  title     = {Smoothgrad: removing noise by adding noise},
  year      = {2017},
  groups    = {SaliencyMapsEval},
}

@InProceedings{Sundararajan2017,
  author       = {Sundararajan, Mukund and Taly, Ankur and Yan, Qiqi},
  booktitle    = {International Conference on Machine Learning},
  title        = {Axiomatic attribution for deep networks},
  year         = {2017},
  organization = {PMLR},
  pages        = {3319--3328},
  groups       = {SaliencyMapsEval, SemanticCoherence},
}

@InProceedings{bau2017network,
  author    = {Bau, David and Zhou, Bolei and Khosla, Aditya and Oliva, Aude and Torralba, Antonio},
  booktitle = {Proceedings of the IEEE conference on computer vision and pattern recognition},
  title     = {Network dissection: Quantifying interpretability of deep visual representations},
  year      = {2017},
  pages     = {6541--6549},
  groups    = {SemanticCoherence},
}


% 2018

@article{higgins2018towards,
  title={Towards a definition of disentangled representations},
  author={Higgins, Irina and Amos, David and Pfau, David and Racaniere, Sebastien and Matthey, Loic and Rezende, Danilo and Lerchner, Alexander},
  journal={arXiv preprint arXiv:1812.02230},
  year={2018}
}

@InProceedings{belghazi2018mutual,
  author       = {Belghazi, Mohamed Ishmael and Baratin, Aristide and Rajeshwar, Sai and Ozair, Sherjil and Bengio, Yoshua and Courville, Aaron and Hjelm, Devon},
  booktitle    = {International Conference on Machine Learning},
  title        = {Mutual information neural estimation},
  year         = {2018},
  organization = {PMLR},
  pages        = {531--540},
  groups       = {IncompleteConcepts},
}

@InProceedings{bisazza2018lazy,
  author    = {Bisazza, Arianna and Tump, Clara},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
  title     = {The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation},
  pages     = {2871--2876},
  publisher = {Association for Computational Linguistics},
  groups    = {IncompleteConcepts},
  year = {2018}
}

@InProceedings{kim2018disentangling,
  author       = {Kim, Hyunjik and Mnih, Andriy},
  booktitle    = {International Conference on Machine Learning},
  title        = {Disentangling by factorising},
  year         = {2018},
  organization = {PMLR},
  pages        = {2649--2658},
  groups       = {IncompleteConcepts},
}

@InProceedings{Kim2018interpretabilityTCAV,
  author       = {Kim, Been and Wattenberg, Martin and Gilmer, Justin and Cai, Carrie and Wexler, James and Viegas, Fernanda and others},
  booktitle    = {International Conference on Machine Learning},
  title        = {Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav)},
  year         = {2018},
  organization = {PMLR},
  pages        = {2668--2677},
  groups       = {SaliencyMapsEval, SemanticCoherence},
}

@Article{ramesh2018spectral,
  author  = {Ramesh, Aditya and Choi, Youngduck and LeCun, Yann},
  journal = {arXiv preprint arXiv:1812.01161},
  title   = {A spectral regularizer for unsupervised disentanglement},
  year    = {2018},
  groups  = {IncompleteConcepts},
}

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

@InProceedings{kumar2018variational,
  author    = {Abhishek Kumar and Prasanna Sattigeri and Avinash Balakrishnan},
  booktitle = {International Conference on Learning Representations},
  title     = {Variational Inference of Disentangled Latent Concepts from Unlabeled Observations},
  year      = {2018},
}

@Article{chen2018isolating,
  author  = {Chen, Ricky TQ and Li, Xuechen and Grosse, Roger B and Duvenaud, David K},
  journal = {Advances in neural information processing systems},
  title   = {Isolating sources of disentanglement in variational autoencoders},
  year    = {2018},
  volume  = {31},
}

@InProceedings{eastwood2018framework,
  author    = {Eastwood, Cian and Williams, Christopher KI},
  booktitle = {International Conference on Learning Representations},
  title     = {A framework for the quantitative evaluation of disentangled representations},
  year      = {2018},
  groups    = {IncompleteConcepts},
}

@misc{3dshapes18,
  title={3D Shapes Dataset},
  author={Burgess, Chris and Kim, Hyunjik},
  howpublished={https://github.com/deepmind/3dshapes-dataset/},
  year={2018}
}


% 2019
@article{bjorklund2019careful,
  title={Be careful with your principal components},
  author={Bj{\"o}rklund, Mats},
  journal={Evolution},
  volume={73},
  number={10},
  pages={2151--2158},
  year={2019},
  publisher={Blackwell Publishing Inc Malden, USA}
}
@Article{glymour2019review,
  author  = {Glymour, Clark and Zhang, Kun and Spirtes, Peter},
  journal = {Frontiers in Genetics},
  title   = {Review of causal discovery methods based on graphical models},
  year    = {2019},
  pages   = {524},
  volume  = {10},
  groups  = {IncompleteConcepts},
}

@InProceedings{yeh2019completeness,
  author    = {Yeh, Chih-Kuan and Kim, Been and Arik, Sercan O and Li, Chun-Liang and Pfister, Tomas and Ravikumar, Pradeep},
  booktitle = {Advances in Neural Information Processing Systems},
  title     = {On completeness-aware concept-based explanations in deep neural networks},
  year      = {2019},
  volume    = {32},
  groups    = {SemanticCoherence},
}

@InProceedings{ghorbani2019towards,
  author    = {Ghorbani, Amirata and Wexler, James and Zou, James Y and Kim, Been},
  booktitle = {Advances in Neural Information Processing Systems},
  title     = {Towards Automatic Concept-based Explanations},
  year      = {2019},
  pages     = {9277--9286},
  volume    = {32},
  groups    = {SemanticCoherence},
}

@InProceedings{locatello2019challenging,
  author       = {Locatello, Francesco and Bauer, Stefan and Lucic, Mario and Raetsch, Gunnar and Gelly, Sylvain and Sch{\"o}lkopf, Bernhard and Bachem, Olivier},
  booktitle    = {International Conference on Machine Learning},
  title        = {Challenging common assumptions in the unsupervised learning of disentangled representations},
  year         = {2019},
  organization = {PMLR},
  pages        = {4114--4124},
  groups       = {SemanticCoherence},
}

@InProceedings{hyvarinen2019nonlinear,
  author       = {Hyv{ä}rinen, Aapo and Sasaki, Hiroaki and Turner, Richard},
  booktitle    = {The 22nd International Conference on Artificial Intelligence and Statistics},
  title        = {Nonlinear ICA using auxiliary variables and generalized contrastive learning},
  year         = {2019},
  organization = {PMLR},
  pages        = {859--868},
}

@article{gondal2019transfer,
  title={On the transfer of inductive bias from simulation to the real world: a new disentanglement dataset},
  author={Gondal, Muhammad Waleed and Wuthrich, Manuel and Miladinovic, Djordje and Locatello, Francesco and Breidt, Martin and Volchkov, Valentin and Akpo, Joel and Bachem, Olivier and Sch{\"o}lkopf, Bernhard and Bauer, Stefan},
  journal={Advances in Neural Information Processing Systems},
  volume={32},
  year={2019}
}

@Article{sepliarskaia2019evaluating,
  author  = {Sepliarskaia, Anna and Kiseleva, Julia and de Rijke, Maarten and others},
  journal = {arXiv preprint arXiv:1910.05587},
  title   = {Evaluating disentangled representations},
  year    = {2019},
  groups  = {IncompleteConcepts},
}

@article{abdiDisentanglementPytorch,
    Author = {Amir H. Abdi and Purang Abolmaesumi and Sidney Fels},
    Title = {Variational Learning with Disentanglement-PyTorch},
    Year = {2019},
    journal={arXiv preprint arXiv:1912.05184},    
}

@inproceedings{rolinek2019variational,
  title={Variational autoencoders pursue pca directions (by accident)},
  author={Rolinek, Michal and Zietlow, Dominik and Martius, Georg},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={12406--12415},
  year={2019}
}

@article{song2019generative,
  title={Generative modeling by estimating gradients of the data distribution},
  author={Song, Yang and Ermon, Stefano},
  journal={Advances in neural information processing systems},
  volume={32},
  year={2019}
}

@article{carrington2019invariance,
  title={Invariance and identifiability issues for word embeddings},
  author={Carrington, Rachel and Bharath, Karthik and Preston, Simon},
  journal={Advances in Neural Information Processing Systems},
  volume={32},
  year={2019}
}

%2020
@InProceedings{koh2020concept,
  author       = {Koh, Pang Wei and Nguyen, Thao and Tang, Yew Siang and Mussmann, Stephen and Pierson, Emma and Kim, Been and Liang, Percy},
  booktitle    = {International Conference on Machine Learning},
  title        = {Concept bottleneck models},
  year         = {2020},
  organization = {PMLR},
  pages        = {5338--5348},
  groups       = {SemanticCoherence},
}

@article{ho2020denoising,
  title={Denoising diffusion probabilistic models},
  author={Ho, Jonathan and Jain, Ajay and Abbeel, Pieter},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={6840--6851},
  year={2020}
}

@inproceedings{kumar2020implicit,
  title={On Implicit Regularization in $\beta$ -VAEs},
  author={Kumar, Abhishek and Poole, Ben},
  booktitle={International Conference on Machine Learning},
  pages={5480--5490},
  year={2020},
  organization={PMLR}
}


@Article{kazhdan2020now,
  author  = {Kazhdan, Dmitry and Dimanov, Botty and Jamnik, Mateja and Li{\`o}, Pietro and Weller, Adrian},
  journal = {AIMLAI workshop at the 29th ACM International Conference on Information and Knowledge Management (CIKM)},
  title   = {Now you see me (CME): concept-based model extraction},
  year    = {2020},
  groups  = {SemanticCoherence, IncompleteConcepts},
}


@InProceedings{akula2020cocox,
  author    = {Akula, Arjun and Wang, Shuai and Zhu, Song-Chun},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  title     = {Cocox: Generating conceptual and counterfactual explanations via fault-lines},
  year      = {2020},
  pages     = {2594--2601},
  volume    = {34},
  groups    = {SemanticCoherence, IncompleteConcepts},
}

@InProceedings{peebles2020hessian,
  author       = {Peebles, William and Peebles, John and Zhu, Jun-Yan and Efros, Alexei and Torralba, Antonio},
  booktitle    = {European Conference on Computer Vision},
  title        = {The hessian penalty: A weak prior for unsupervised disentanglement},
  year         = {2020},
  organization = {Springer},
  pages        = {581--597},
  groups       = {IncompleteConcepts},
}

@inproceedings{khemakhem2020variational,
  title={Variational autoencoders and nonlinear {ICA}: A unifying framework},
  author={Khemakhem, Ilyes and Kingma, Diederik and Monti, Ricardo and Hyv{ä}rinen, Aapo},
  booktitle={International Conference on Artificial Intelligence and Statistics},
  pages={2207--2217},
  year={2020},
  organization={PMLR}
}

@InProceedings{voynov2020unsupervised,
  author       = {Voynov, Andrey and Babenko, Artem},
  booktitle    = {International Conference on Machine Learning},
  title        = {Unsupervised discovery of interpretable directions in the gan latent space},
  year         = {2020},
  organization = {PMLR},
  pages        = {9786--9796},
  groups       = {IncompleteConcepts},
}

@inproceedings{locatello2020weakly,
  title={Weakly-supervised disentanglement without compromises},
  author={Locatello, Francesco and Poole, Ben and R{\"a}tsch, Gunnar and Sch{\"o}lkopf, Bernhard and Bachem, Olivier and Tschannen, Michael},
  booktitle={International Conference on Machine Learning},
  pages={6348--6359},
  year={2020},
  organization={PMLR}
}

@inproceedings{painter2020LinearGroupDisentanglement,
 author = {Painter, Matthew and Prugel-Bennett, Adam and Hare, Jonathon},
 booktitle = {Advances in Neural Information Processing Systems},
 pages = {13297--13307},
 publisher = {Curran Associates, Inc.},
 title = {Linear Disentangled Representations and Unsupervised Action Estimation},
 volume = {33},
 year = {2020}
}

@article{chen2020concept,
  title={Concept whitening for interpretable image recognition},
  author={Chen, Zhi and Bei, Yijie and Rudin, Cynthia},
  journal={Nature Machine Intelligence},
  volume={2},
  number={12},
  pages={772--782},
  year={2020},
  publisher={Nature Publishing Group UK London}
}

@article{paszke2017automatic,
  title={Automatic differentiation in PyTorch},
  author={Paszke, Adam and Gross, Sam and Chintala, Soumith and Chanan, Gregory and Yang, Edward and DeVito, Zachary and Lin, Zeming and Desmaison, Alban and Antiga, Luca and Lerer, Adam},
  year={2017}
}

@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}
}
%2021
@InProceedings{trauble2021disentangled,
  author       = {Tr{\"a}uble, Frederik and Creager, Elliot and Kilbertus, Niki and Locatello, Francesco and Dittadi, Andrea and Goyal, Anirudh and Sch{\"o}lkopf, Bernhard and Bauer, Stefan},
  booktitle    = {International Conference on Machine Learning},
  title        = {On disentangled representations learned from correlated data},
  year         = {2021},
  organization = {PMLR},
  pages        = {10401--10412},
  groups       = {IncompleteConcepts},
}

@inproceedings{yang2021towards,
  title={Towards Building A Group-based Unsupervised Representation Disentanglement Framework},
  author={Yang, Tao and Ren, Xuanchi and Wang, Yuwang and Zeng, Wenjun and Zheng, Nanning},
  booktitle={International Conference on Learning Representations},
  year={2021}
}

@Article{kazhdan2021disentanglement,
  author  = {Kazhdan, Dmitry and Dimanov, Botty and Terre, Helena Andres and Jamnik, Mateja and Li{\`o}, Pietro and Weller, Adrian},
  journal = {RAI, WeaSul, and RobustML workshops at The Ninth International Conference on Learning Representations 2021},
  title   = {Is Disentanglement all you need? Comparing Concept-based \& Disentanglement Approaches},
  year    = {2021},
  groups  = {IncompleteConcepts},
}

@InProceedings{horan2021when,
  author    = {Daniella Horan and Eitan Richardson and Yair Weiss},
  booktitle = {Advances in Neural Information Processing Systems},
  title     = {When Is Unsupervised Disentanglement Possible?},
  year      = {2021},
  groups    = {IncompleteConcepts},
}

@InProceedings{gresele2021independent,
  author  = {Gresele, Luigi and von K{\"u}gelgen, Julius and Stimper, Vincent and Sch{\"o}lkopf, Bernhard and Besserve, Michel},
  title   = {Independent mechanism analysis, a new concept?},
  year    = {2021},
  groups  = {IncompleteConcepts},
  booktitle = {Advances in Neural Information Processing Systems},
}

@inproceedings{shah2021doinput,
 author = {Shah, Harshay and Jain, Prateek and Netrapalli, Praneeth},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan},
 pages = {2046--2059},
 title = {Do Input Gradients Highlight Discriminative Features? },
 url = {https://proceedings.neurips.cc/paper/2021/file/0fe6a94848e5c68a54010b61b3e94b0e-Paper.pdf},
 volume = {34},
 year = {2021}
}

@InProceedings{wei2021orthogonal,
  author    = {Wei, Yuxiang and Shi, Yupeng and Liu, Xiao and Ji, Zhilong and Gao, Yuan and Wu, Zhongqin and Zuo, Wangmeng},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  title     = {Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation},
  year      = {2021},
  pages     = {6721--6730},
  groups    = {IncompleteConcepts},
}

@inproceedings{ross2021evaluating,
  title={Evaluating the interpretability of generative models by interactive reconstruction},
  author={Ross, Andrew and Chen, Nina and Hang, Elisa Zhao and Glassman, Elena L and Doshi-Velez, Finale},
  booktitle={Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems},
  pages={1--15},
  year={2021}
}

@article{
moran2022identifiable,
title={Identifiable Deep Generative Models via Sparse Decoding},
author={Gemma Elyse Moran and Dhanya Sridhar and Yixin Wang and David Blei},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2022},
url={https://openreview.net/forum?id=vd0onGWZbE},
note={}
}
%2022
@InProceedings{zheng2022on,
  author    = {Yujia Zheng and Ignavier Ng and Kun Zhang},
  booktitle = {ICLR2022 Workshop on the Elements of Reasoning: Objects, Structure and Causality},
  title     = {On the Identifiability of Nonlinear {ICA} with Unconditional Priors},
  year      = {2022},
}

@inproceedings{
leemann2022coherence,
title={Coherence Evaluation of Visual Concepts With Objects and Language},
author={Tobias Leemann and Yao Rong and Stefan Kraft and Enkelejda Kasneci and Gjergji Kasneci},
booktitle={ICLR2022 Workshop on the Elements of Reasoning: Objects, Structure and Causality},
year={2022},
}

@inproceedings{
ren2022learning,
title={Learning Disentangled Representation by Exploiting Pretrained Generative Models:  A Contrastive Learning View},
author={Xuanchi Ren and Tao Yang and Yuwang Wang and Wenjun Zeng},
booktitle={International Conference on Learning Representations},
year={2022}
}

@inproceedings{
muttenthaler2022vice,
title={{VICE}: Variational Interpretable Concept Embeddings},
author={Lukas Muttenthaler and Charles Yang Zheng and Patrick McClure and Robert A. Vandermeulen and Martin N Hebart and Francisco Pereira},
booktitle={Advances in Neural Information Processing Systems},
year={2022}
}

@inproceedings{crabbe2022concept,
  title={Concept Activation Regions: A Generalized Framework For Concept-Based Explanations},
  author={Crabb{\'e}, Jonathan and van der Schaar, Mihaela},
  booktitle={Advances in Neural Information Processing Systems},
year={2022}
}
