Smooth Neural Point Processes via B-Splines

arXiv:2607.21098 · cs.LG, stat.ML · Submitted 2026-07-23 · Read on arXiv

Michele Bellomo, Riccardo Ramaschi, Alberto Dolara, Tomaso Aste

cs.LG, stat.ML

Submitted: 2026-07-23

Comments: 9 pages, 2 figures

Code: https://github.com/keras-team/keras-hub

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Regularization — 15× in this paper · explained in 3 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Transformer — 5× in this paper · explained in 2 episodes
• Computational Efficiency — 4× in this paper · explained in 2 episodes
• Maximum Likelihood Estimation — 4× in this paper
• Benchmark — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 14 episodes
• Monotonicity — 2× in this paper · explained in 2 episodes
• Transformer Architecture — 2× in this paper · explained in 4 episodes
• Adam — 1× in this paper · explained in 3 episodes
• Decoder — 1× in this paper · explained in 2 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Parameterization — 1× in this paper · explained in 2 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Transformers — 1× in this paper · explained in 2 episodes

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