% Key papers for Neuro-symbolic probabilistic layers (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2017_hierarchical_28302,
  title = {{Hierarchical Multiscale Recurrent Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=S1di0sfgl},
}

@inproceedings{icml2018_fast_36686,
  title = {{Fast Decoding in Sequence Models Using Discrete Latent Variables}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2438},
}

@inproceedings{cvpr2017_deep_12180,
  title = {{Deep Structured Learning for Facial Action Unit Intensity Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_bridgenet_13907,
  title = {{BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{neurips2017_neural_56508,
  title = {{Neural Expectation Maximization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9437},
}

@inproceedings{neurips2018_sequential_57619,
  title = {{Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11822},
}

@inproceedings{neurips2016_collaborative_55626,
  title = {{Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6924},
}

@inproceedings{neurips2022_lasuie_65373,
  title = {{LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55147},
}

@inproceedings{cvpr2023_neuron_21706,
  title = {{Neuron Structure Modeling for Generalizable Remote Physiological Measurement}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23206},
}

@inproceedings{iclr2020_data_29580,
  title = {{Data-dependent Gaussian Prior Objective for Language Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=S1efxTVYDr},
}

@inproceedings{icml2019_chive_37203,
  title = {{CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3864},
}

@inproceedings{cvpr2024_neural_24279,
  title = {{Neural Markov Random Field for Stereo Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30474},
}

@inproceedings{iclr2018_learning_28489,
  title = {{Learning Approximate Inference Networks for Structured Prediction}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/75},
}

@inproceedings{aaai2021_deepwritesyn_408,
  title = {{DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00600-deepwritesyn-on-line-handwriting-synthesis-via-deep-short-term-representations/},
}

@inproceedings{icml2019_learning_37503,
  title = {{Learning to Groove with Inverse Sequence Transformations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3931},
}

@inproceedings{icml2017_sequence_36390,
  title = {{Sequence Modeling via Segmentations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/513},
}

@inproceedings{icml2020_an_37935,
  title = {{An EM Approach to Non-autoregressive Conditional Sequence Generation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6203},
}

@inproceedings{iclr2019_improving_29028,
  title = {{Improving Sequence-to-Sequence Learning via Optimal Transport}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/831},
}

@inproceedings{iclr2017_the_28306,
  title = {{The Neural Noisy Channel}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=SJ25-B5eg},
}

@inproceedings{neurips2017_from_56328,
  title = {{From Bayesian Sparsity to Gated Recurrent Nets}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9330},
}

@inproceedings{cvpr2024_sketchinr_24833,
  title = {{SketchINR: A First Look into Sketches as Implicit Neural Representations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31483},
}

@inproceedings{aaai2024_from_6059,
  title = {{From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30096},
}

@inproceedings{aaai2024_muser_6730,
  title = {{MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29178},
}

@inproceedings{icml2024_cascast_44697,
  title = {{CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33755},
}

@inproceedings{icml2024_hierarchical_44476,
  title = {{Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33976},
}

@inproceedings{aaai2025_speech_10816,
  title = {{Speech Watermarking with Discrete Intermediate Representations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34600},
}

@inproceedings{cvpr2025_metricgrids_26949,
  title = {{MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34607},
}

@inproceedings{neurips2024_quest_71977,
  title = {{QueST: Self-Supervised Skill Abstractions for Learning Continuous Control}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95334},
}

@inproceedings{cvpr2024_neural_24275,
  title = {{Neural Fields as Distributions: Signal Processing Beyond Euclidean Space}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31694},
}

@inproceedings{neurips2024_learning_71396,
  title = {{Learning the Infinitesimal Generator of Stochastic Diffusion Processes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95855},
}

@inproceedings{neurips2025_omnicast_75218,
  title = {{OmniCast: A Masked Latent Diffusion Model for Weather Forecasting Across Time Scales}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=5Y8I2dKc91},
}

@inproceedings{neurips2025_projecting_77344,
  title = {{Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=SoA8rMxDaF},
}

@inproceedings{iclr2026_out_87534,
  title = {{Out of the Shadows: Exploring a Latent Space for Neural Network Verification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=cYSt0KOQDD},
}

@inproceedings{iclr2024_sointer_34027,
  title = {{SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19048},
}

@inproceedings{iclr2024_perceptual_35683,
  title = {{Perceptual Scales Predicted by Fisher Information Metrics}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17390},
}

@inproceedings{icml2024_translation_45417,
  title = {{Translation Equivariant Transformer Neural Processes}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33034},
}

@inproceedings{icml2024_cf_45743,
  title = {{CF-OPT: Counterfactual Explanations for Structured Prediction}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32709},
}

@inproceedings{icml2025_when_48563,
  title = {{When do neural networks learn world models?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44058},
}

@inproceedings{icml2026_motion_50402,
  title = {{Motion Planning in Compressed Representation Spaces}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Bz1uTQKD58},
}