Michael M. Bronstein

Research interests

Publications

• Structure-based drug design with equivariant diffusion models

  Nature Computational Science · 2024 · 10.1038/s43588-024-00737-x

• De novo design of protein interactions with learned surface fingerprints

  Nature · 2023 · 10.1038/s41586-023-05993-x

• Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting

  IEEE Transactions on Pattern Analysis and Machine Intelligence · 2022 · 10.1109/tpami.2022.3154319

• Utilizing graph machine learning within drug discovery and development

  Briefings in Bioinformatics · 2021 · 10.1093/bib/bbab159

• Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

  arXiv (Cornell University) · 2021 · 10.48550/arxiv.2104.13478

• Graph Signal Processing for Machine Learning: A Review and New Perspectives

  IEEE Signal Processing Magazine · 2020 · 10.1109/msp.2020.3014591

• Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

  Nature Methods · 2019 · https://doi.org/10.1038/s41592-019-0666-6

• Dynamic Graph CNN for Learning on Point Clouds

  ACM Transactions on Graphics · 2019 · https://doi.org/10.1145/3326362

• Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

  Neural Information Processing Systems · 2017

• Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs

  Journal · 2017 · https://doi.org/10.1109/cvpr.2017.576

• Geometric Deep Learning: Going beyond Euclidean data

  IEEE Signal Processing Magazine · 2017 · https://doi.org/10.1109/msp.2017.2693418

• Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

  arXiv (Cornell University) · 2017 · 10.48550/arxiv.1704.06803

• Partial Functional Correspondence

  Computer Graphics Forum · 2016 · 10.1111/cgf.12797

• Learning class‐specific descriptors for deformable shapes using localized spectral convolutional networks

  Computer Graphics Forum · 2015 · 10.1111/cgf.12693

• SHREC '11: Robust Feature Detection and Description Benchmark

  arXiv (Cornell University) · 2011 · https://doi.org/10.2312/3dor/3dor11/071-078

• Shape google

  ACM Transactions on Graphics · 2011 · https://doi.org/10.1145/1899404.1899405

• LDAHash: Improved Matching with Smaller Descriptors

  IEEE Transactions on Pattern Analysis and Machine Intelligence · 2011 · 10.1109/tpami.2011.103

• Data fusion through cross-modality metric learning using similarity-sensitive hashing

  · 2010 · 10.1109/cvpr.2010.5539928

• Scale-invariant heat kernel signatures for non-rigid shape recognition

  · 2010 · 10.1109/cvpr.2010.5539838

• A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching

  International Journal of Computer Vision · 2009 · 10.1007/s11263-009-0301-6

• Numerical Geometry of Non-Rigid Shapes

  Texts and monographs in computer science · 2008 · 10.1007/978-0-387-73301-2

• Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching

  Proceedings of the National Academy of Sciences · 2006 · 10.1073/pnas.0508601103

• Efficient Computation of Isometry‐Invariant Distances Between Surfaces

  SIAM Journal on Scientific Computing · 2006 · 10.1137/050639296

• Three-Dimensional Face Recognition

  International Journal of Computer Vision · 2005 · 10.1007/s11263-005-1085-y

• Expression-Invariant 3D Face Recognition

  Lecture notes in computer science · 2003 · 10.1007/3-540-44887-x_8

Current projects

No projects listed.