% Key papers for Sparse graphical and tensor models (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2016_discriminative_35799,
  title = {{Discriminative Embeddings of Latent Variable Models for Structured Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/daib16.html},
}

@inproceedings{cvpr2020_efficient_15461,
  title = {{Efficient Derivative Computation for Cumulative B-Splines on Lie Groups}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_hlrtf_18977,
  title = {{HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2023_lore_3963,
  title = {{LORE: Logical Location Regression Network for Table Structure Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25402},
}

@inproceedings{aaai2019_learning_100212,
  title = {{Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3920},
}

@inproceedings{neurips2016_learning_55824,
  title = {{Learning Sparse Gaussian Graphical Models with Overlapping Blocks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7372},
}

@inproceedings{neurips2018_the_57698,
  title = {{The Sparse Manifold Transform}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11994},
}

@inproceedings{aaai2021_stelar_1319,
  title = {{STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04830-stelar-spatio-temporal-tensor-factorization-with-latent-epidemiological-regularization/},
}

@inproceedings{neurips2020_multiparameter_60372,
  title = {{Multiparameter Persistence Image for Topological Machine Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18276},
}

@inproceedings{icml2016_hierarchical_35863,
  title = {{Hierarchical Compound Poisson Factorization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/basbug16.html},
}

@inproceedings{icml2018_probabilistic_36931,
  title = {{Probabilistic Boolean Tensor Decomposition}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1988},
}

@inproceedings{icml2017_learning_36269,
  title = {{Learning to Discover Sparse Graphical Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/706},
}

@inproceedings{icml2020_multiresolution_38484,
  title = {{Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6620},
}

@inproceedings{neurips2018_rectangular_57550,
  title = {{Rectangular Bounding Process}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11732},
}

@inproceedings{neurips2024_approximating_71410,
  title = {{Approximating mutual information of high-dimensional variables using learned representations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95842},
}

@inproceedings{icml2021_diffusion_39245,
  title = {{Diffusion Earth Mover’s Distance and Distribution Embeddings}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9747},
}

@inproceedings{aaai2021_diffusion_435,
  title = {{Diffusion Network Inference from Partial Observations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/07493-diffusion-network-inference-from-partial-observations/},
}

@inproceedings{cvpr2019_inverse_14334,
  title = {{Inverse Procedural Modeling of Knitwear}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2024_finsler_23476,
  title = {{Finsler-Laplace-Beltrami Operators with Application to Shape Analysis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30151},
}

@inproceedings{icml2019_decomposing_37271,
  title = {{Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4154},
}

@inproceedings{aaai2025_skeleton_10776,
  title = {{Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32201},
}

@inproceedings{aaai2025_contrastive_8530,
  title = {{Contrastive Functional Principal Component Analysis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34394},
}

@inproceedings{aaai2025_efficient_8897,
  title = {{Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33727},
}

@inproceedings{cvpr2025_lmo_26700,
  title = {{LMO: Linear Mamba Operator for MRI Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35009},
}

@inproceedings{neurips2024_navigating_73173,
  title = {{Navigating the Effect of Parametrization for Dimensionality Reduction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94260},
}

@inproceedings{aaai2025_community_8467,
  title = {{Community-Aware Variational Autoencoder for Continuous Dynamic Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33757},
}

@inproceedings{iclr2024_manifold_33864,
  title = {{Manifold Diffusion Fields}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19211},
}

@inproceedings{neurips2024_explicit_71539,
  title = {{Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95725},
}

@inproceedings{neurips2025_shape_75243,
  title = {{Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=5mpQO0YpTv},
}

@inproceedings{neurips2025_auto_79941,
  title = {{Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=uUHNt5CoaL},
}

@inproceedings{iclr2025_intrinsic_82110,
  title = {{Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29679},
}

@inproceedings{aaai2025_find_9108,
  title = {{FIND: A Framework for Discovering Formulas in Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35469},
}

@inproceedings{aaai2025_factor_9123,
  title = {{Factor Augmented Tensor-on-Tensor Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34455},
}

@inproceedings{icml2024_bringing_45340,
  title = {{Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33112},
}

@inproceedings{icml2025_wrapped_46636,
  title = {{Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45934},
}

@inproceedings{icml2025_integration_48203,
  title = {{Integration-free Kernels for Equivariant Gaussian Process Modelling}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44408},
}

@inproceedings{icml2026_smart_49446,
  title = {{SMART: Scalable Mesh‑free Aerodynamic Simulations from Raw Geometries using a Transformer‑based Surrogate Model}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=2dzU8sTOO3},
}

@inproceedings{icml2026_manifold_50751,
  title = {{Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=FMRndM4OAk},
}