% Key papers for Probabilistic embeddings and relational inference (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2016_complex_35765,
  title = {{Complex Embeddings for Simple Link Prediction}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/trouillon16.html},
}

@inproceedings{icml2017_analogical_36065,
  title = {{Analogical Inference for Multi-relational Embeddings}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/620},
}

@inproceedings{neurips2017_differentiable_56252,
  title = {{Differentiable Learning of Logical Rules for Knowledge Base Reasoning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9019},
}

@inproceedings{aaai2018_classical_106056,
  title = {{Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12077},
}

@inproceedings{aaai2016_hashtag_105172,
  title = {{Hashtag-Based Sub-Event Discovery Using Mutually Generative LDA in Twitter}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10326},
}

@inproceedings{aaai2021_nested_1053,
  title = {{Nested Named Entity Recognition with Partially-Observed TreeCRFs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/12839-nested-named-entity-recognition-with-partially-observed-treecrfs/},
}

@inproceedings{iclr2019_smoothing_28886,
  title = {{Smoothing the Geometry of Probabilistic Box Embeddings}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1010},
}

@inproceedings{neurips2018_learning_57287,
  title = {{Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11749},
}

@inproceedings{neurips2018_neural_57429,
  title = {{Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11565},
}

@inproceedings{iclr2020_a_29739,
  title = {{A Theory of Usable Information under Computational Constraints}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=r1eBeyHFDH},
}

@inproceedings{neurips2020_boxe_59483,
  title = {{BoxE: A Box Embedding Model for Knowledge Base Completion}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17672},
}

@inproceedings{iclr2019_measuring_28922,
  title = {{Measuring Compositionality in Representation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1055},
}

@inproceedings{iclr2020_mathematical_29667,
  title = {{Mathematical Reasoning in Latent Space}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=Ske31kBtPr},
}

@inproceedings{icml2017_latent_36243,
  title = {{Latent Intention Dialogue Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/746},
}

@inproceedings{neurips2016_probing_55943,
  title = {{Probing the Compositionality of Intuitive Functions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7024},
}

@inproceedings{aaai2021_a_27,
  title = {{A Hybrid Probabilistic Approach for Table Understanding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04366-a-hybrid-probabilistic-approach-for-table-understanding/},
}

@inproceedings{aaai2023_conditional_3306,
  title = {{Conditional Syntax Splitting for Non-monotonic Inference Operators}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25789},
}

@inproceedings{cvpr2022_a_18206,
  title = {{A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2016_new_55896,
  title = {{New Liftable Classes for First-Order Probabilistic Inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7297},
}

@inproceedings{neurips2022_concept_64099,
  title = {{Concept Activation Regions: A Generalized Framework For Concept-Based Explanations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54927},
}

@inproceedings{aaai2024_on_6830,
  title = {{On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29895},
}

@inproceedings{cvpr2024_seeing_24767,
  title = {{Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31066},
}

@inproceedings{aaai2024_frame_6047,
  title = {{Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29715},
}

@inproceedings{icml2024_learning_43781,
  title = {{Learning Iterative Reasoning through Energy Diffusion}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34671},
}

@inproceedings{iclr2024_predictive_34297,
  title = {{Predictive, scalable and interpretable knowledge tracing on structured domains}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18778},
}

@inproceedings{neurips2024_breaking_73350,
  title = {{Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94096},
}

@inproceedings{neurips2025_spartan_79937,
  title = {{SPARTAN: A Sparse Transformer World Model Attending to What Matters}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=uS5ch7GjZ4},
}

@inproceedings{iclr2026_i_89157,
  title = {{I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=vVYD74U5KE},
}

@inproceedings{cvpr2026_vibe_99239,
  title = {{Vibe Spaces for Creatively Connecting and Expressing Visual Concepts}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Yang_Vibe_Spaces_for_Creatively_Connecting_and_Expressing_Visual_Concepts_CVPR_2026_paper.html},
}

@inproceedings{aaai2025_constructing_8514,
  title = {{Constructing Fair Latent Space for Intersection of Fairness and Explainability}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32436},
}

@inproceedings{aaai2025_learning_9734,
  title = {{Learning Hierarchical Task Knowledge for Planning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35091},
}

@inproceedings{iclr2024_nfgtransformer_33617,
  title = {{NfgTransformer: Equivariant Representation Learning for Normal-form Games}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19458},
}

@inproceedings{iclr2024_logicmp_33855,
  title = {{LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19220},
}

@inproceedings{iclr2024_reclaiming_34282,
  title = {{Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18793},
}

@inproceedings{iclr2024_shadow_35696,
  title = {{Shadow Cones: A Generalized Framework for Partial Order Embeddings}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17377},
}

@inproceedings{icml2024_mapping_44442,
  title = {{Mapping the Multiverse of Latent Representations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34010},
}

@inproceedings{icml2025_star_48496,
  title = {{STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44123},
}

@inproceedings{icml2025_sphinx_48797,
  title = {{SPHINX: Structural Prediction using Hypergraph Inference Network}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43825},
}

@inproceedings{icml2026_the_49284,
  title = {{The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=0zzha0gskW},
}

@inproceedings{icml2026_bridging_49308,
  title = {{Bridging Functional and Representational Similarity via Usable Information}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=1Facirbj0t},
}