babel_

  [0]: Vijay Arya et al. "One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques" https://arxiv.org/abs/1909.03012
  [1]: High-Level Expert Group on AI "Ethics Guidelines for Trustworthy AI"
  Apologies, will have to just cite those, since while there are some papers associated with the others, it's quite late now, so I hope the recognisable names suffices.

  [0]: Léo Grinsztajn et al. "Why do tree-based models still outperform deep learning on tabular data?" https://arxiv.org/abs/2207.08815
  [1]: Jordan Tigani "Big Data is Dead" https://motherduck.com/blog/big-data-is-dead/
  [2]: Zongyi Li et al. "Fourier Neural Operator for Parametric Partial Differential Equations" https://arxiv.org/abs/2010.08895
  [3]: Jaideep Pathak et al. "FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators" https://arxiv.org/abs/2202.11214
  [4]: Huaiqian You et al. "Learning Deep Implicit Fourier Neural Operators with Applications to Heterogeneous Material Modeling" https://arxiv.org/abs/2203.08205
  [5]: Arthur Jacot et al. "Neural Tangent Kernel: Convergence and Generalization in Neural Networks" https://arxiv.org/abs/1806.07572
  [6]: Pedro Domingos "Every Model Learned by Gradient Descent Is Approximately a Kernel Machine" https://arxiv.org/abs/2012.00152
  [7]: Alexander Atanasov et al. "Neural Networks as Kernel Learners: The Silent Alignment Effect" https://arxiv.org/abs/2111.00034
  [8]: Yilan Chen et al. "On the Equivalence between Neural Network and Support Vector Machine" https://arxiv.org/abs/2111.06063
  [9]: Adityanarayanan Radhakrishnan et al. "Mechanism of feature learning in deep fully connected networks and kernel machines that recursively learn features" https://arxiv.org/abs/2212.13881
  [10]: Mukund Sundararajan et al. "Axiomatic Attribution for Deep Networks" https://arxiv.org/abs/1703.01365
  [11]: Pramod Mudrakarta "Did the model understand the questions?" https://arxiv.org/abs/1805.05492
  [12]: META FAIR Diplomacy Team et al. "Human-level play in the game of Diplomacy by combining language models with strategic reasoning" https://www.science.org/doi/10.1126/science.ade9097
  [13]: DeepMind et al. "Mastering the game of Go with deep neural networks and tree search" https://www.nature.com/articles/nature16961
  [14]: DeepMind et al. "Mastering the game of Go without human knowledge" https://www.nature.com/articles/nature24270
  [15]: Sebastian Borgeaud et al. "Improving language models by retrieving from trillions of tokens" https://arxiv.org/abs/2112.04426
  [16]: Umang Bhatt et al. "Explainable Machine Learning in Deployment" https://dl.acm.org/doi/10.1145/3351095.3375624
  [17]: M. F. Kasim et al. "Building high accuracy emulators for scientific simulations with deep neural architecture search" https://arxiv.org/abs/2001.08055