GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models. Abrevaya, G., Ramezanian-Panahi, M., Gagnon-Audet, J., Rish, I., Polosecki, P., Dawson, S. P., Cecchi, G. A., & Dumas, G. CoRR, 2023.
GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models. [link]Link  GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models. [link]Paper  bibtex   
@article{journals/corr/abs-2307-05735,
  added-at = {2024-08-08T00:00:00.000+0200},
  author = {Abrevaya, Germán and Ramezanian-Panahi, Mahta and Gagnon-Audet, Jean-Christophe and Rish, Irina and Polosecki, Pablo and Dawson, Silvina Ponce and Cecchi, Guillermo A. and Dumas, Guillaume},
  biburl = {https://www.bibsonomy.org/bibtex/2e08597f4a9686ef73f7d9c676bd053fa/dblp},
  ee = {https://doi.org/10.48550/arXiv.2307.05735},
  interhash = {0c55699e91888170ce5e0d10bfcfc6b8},
  intrahash = {e08597f4a9686ef73f7d9c676bd053fa},
  journal = {CoRR},
  keywords = {dblp},
  timestamp = {2024-08-12T07:07:17.000+0200},
  title = {GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models.},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr2307.html#abs-2307-05735},
  volume = {abs/2307.05735},
  year = 2023
}

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