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

@inproceedings{cvpr2017_physics_12534,
  title = {{Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{iclr2019_knockoffgan_28826,
  title = {{KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1012},
}

@inproceedings{neurips2021_explaining_62600,
  title = {{Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28227},
}

@inproceedings{aaai2021_interpreting_803,
  title = {{Interpreting Multivariate Shapley Interactions in DNNs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/10877-interpreting-multivariate-shapley-interactions-in-dnns/},
}

@inproceedings{cvpr2023_physics_21865,
  title = {{Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22239},
}

@inproceedings{neurips2020_deep_59671,
  title = {{Deep active inference agents using Monte-Carlo methods}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17092},
}

@inproceedings{cvpr2019_predicting_14666,
  title = {{Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2023_don_20836,
  title = {{Don't Lie to Me! Robust and Efficient Explainability With Verified Perturbation Analysis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22072},
}

@inproceedings{neurips2020_recurrent_60678,
  title = {{Recurrent Quantum Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18914},
}

@inproceedings{iclr2019_a_29026,
  title = {{A Statistical Approach to Assessing Neural Network Robustness}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/767},
}

@inproceedings{neurips2020_neural_60392,
  title = {{Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17544},
}

@inproceedings{cvpr2023_defining_20757,
  title = {{Defining and Quantifying the Emergence of Sparse Concepts in DNNs}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21849},
}

@inproceedings{aaai2024_from_6058,
  title = {{From GARCH to Neural Network for Volatility Forecast}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29643},
}

@inproceedings{icml2018_variable_37072,
  title = {{Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1995},
}

@inproceedings{aaai2021_stateconet_1419,
  title = {{StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00513-stateconet-statistical-ecology-neural-networks-for-species-distribution-modeling/},
}

@inproceedings{neurips2017_neuralfdr_56513,
  title = {{NeuralFDR: Learning Discovery Thresholds from Hypothesis Features}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8945},
}

@inproceedings{neurips2021_look_62889,
  title = {{Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26522},
}

@inproceedings{aaai2024_explaining_5898,
  title = {{Explaining Generalization Power of a DNN Using Interactive Concepts}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29655},
}

@inproceedings{neurips2023_non_67817,
  title = {{Non-autoregressive Machine Translation with Probabilistic Context-free Grammar}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71942},
}

@inproceedings{aaai2024_permutation_6945,
  title = {{Permutation-Based Hypothesis Testing for Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29343},
}

@inproceedings{aaai2025_relational_10507,
  title = {{Relational Neurosymbolic Markov Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33777},
}

@inproceedings{iclr2024_airphynet_34135,
  title = {{AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18940},
}

@inproceedings{neurips2024_cascade_72121,
  title = {{Cascade of phase transitions in the training of energy-based models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95210},
}

@inproceedings{aaai2025_conditional_8495,
  title = {{Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33712},
}

@inproceedings{aaai2025_rex_10467,
  title = {{ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34079},
}

@inproceedings{icml2024_contextual_43855,
  title = {{Contextual Feature Selection with Conditional Stochastic Gates}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34597},
}

@inproceedings{neurips2024_on_72247,
  title = {{On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95096},
}

@inproceedings{neurips2024_a_72529,
  title = {{A Functional Extension of Semi-Structured Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94838},
}

@inproceedings{neurips2024_learning_74537,
  title = {{Learning diffusion at lightspeed}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93047},
}

@inproceedings{neurips2025_neusymea_77280,
  title = {{NeuSymEA: Neuro-symbolic Entity Alignment via Variational Inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=SAbQLqf8XL},
}

@inproceedings{aaai2025_hierarchical_9436,
  title = {{Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34920},
}

@inproceedings{icml2024_infonet_43412,
  title = {{InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35040},
}

@inproceedings{icml2024_learning_44567,
  title = {{Learning High-Order Relationships of Brain Regions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33885},
}

@inproceedings{icml2025_train_46579,
  title = {{Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45990},
}

@inproceedings{icml2025_gradient_47183,
  title = {{Gradient-based Explanations for Deep Learning Survival Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45404},
}

@inproceedings{icml2026_ecsel_49488,
  title = {{ECSEL: Explainable Classification via Signomial Equation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=2ztmXT3qpN},
}

@inproceedings{icml2026_stop_49719,
  title = {{Stop Training for the Worst: Progressive Unmasking Accelerates Masked Diffusion Training}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=55tjQADd7K},
}