Michael Bronstein : Publications

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@inproceedings{Davis-NeurIPS'24,
  title = "Fisher Flow Matching for Generative Modeling over Discrete Data",
  author = "Oscar Davis and Samuel Kessler and Mircea Petrache and {\.I}smail {\.I}lkan Ceylan and Michael Bronstein and Avishek Joey Bose",
  year = "2024",
  booktitle = "Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS)",
  url = "https://arxiv.org/abs/2405.14664",
}

@inproceedings{FCBL-NeurIPS'24,
  title = "Learning on Large Graphs using Intersecting Communities",
  author = "Ben Finkelshtein and {\.I}smail {\.I}lkan Ceylan and Michael Bronstein and Ron Levie",
  year = "2024",
  booktitle = "Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS)",
  url = "https://arxiv.org/abs/2405.20724",
}

@inproceedings{JBCL-ICML24,
  title = "Homomorphism Counts for Graph Neural Networks: All About That Basis",
  author = "Emily Jin and Michael Bronstein and İsmail İlkan Ceylan and Matthias Lanzinger",
  year = "2024",
  booktitle = "Proceedings of Fourty-first International Conference on Machine Learning (ICML)",
  url = "https://arxiv.org/abs/2402.08595",
}

@inproceedings{FHBC-ICML24,
  title = "Cooperative Graph Neural Networks",
  author = "Ben Finkelshtein and Xingyue Huang and Michael Bronstein and İsmail İlkan Ceylan",
  year = "2024",
  booktitle = "Proceedings of Fourty-first International Conference on Machine Learning (ICML)",
  url = "https://arxiv.org/abs/2310.01267",
}

@article{Gainza2023,
  title = "De novo design of protein interactions with learned surface fingerprints",
  author = "P. Gainza, S. Wehrle, A. Van Hall-Beauvais, A. Marchand, A. Scheck, Z. Harteveld, S. Buckley, D. Ni, S. Tan, F. Sverrisson, C. Goverde, P. Turelli, C. Raclot, A. Teslenko, M. Pacesa, S. Rosset, S. Georgeon, J. Marsden, A. Petruzzella, K. Liu, Z. Xu, Y. Chai, P. Han, G. F. Gao, E. Oricchio, B. Fierz, D. Trono, H. Stahlberg, M. B. Bronstein, B. E. Correia",
  year = "2023",
  journal = "Nature",
  number = "617",
  pages = "176–184",
  url = "https://www.nature.com/articles/s41586-023-05993-x",
}

@conference{Chamberlain2021a,
  title = "GRAND: Graph Neural Diffusion",
  author = "B. P. Chamberlain and J. Rowbottom and M. Gorinova and S. Webb and E. Rossi and M. M. Bronstein",
  year = "2021",
  journal = "ICML",
}