Learning Provably Robust Estimators for Inverse Problems via Jittering

Anselm Krainovic, Mahdi Soltanolkotabi, Reinhard Heckel. Learning Provably Robust Estimators for Inverse Problems via Jittering. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{KrainovicSH23,
  title = {Learning Provably Robust Estimators for Inverse Problems via Jittering},
  author = {Anselm Krainovic and Mahdi Soltanolkotabi and Reinhard Heckel},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/b3411e30afa6caeefa4d6d39a5ea84cd-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/KrainovicSH23},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}