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ORCIDAlan Nawzad Amin
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2020 – today
- 2025
[j1]Alan Nawzad Amin, Debora S. Marks, Eli N. Weinstein:
Biological Sequence Kernels with Guaranteed Flexibility. J. Mach. Learn. Res. 26: 216:1-216:63 (2025)- [c8]Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson:
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences. ICLR 2025 - [c7]Alan Nawzad Amin, Andres Potapczynski, Andrew Gordon Wilson:
Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra. ICML 2025 - [i9]Alan Nawzad Amin, Nate Gruver, Andrew Gordon Wilson:
Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion. CoRR abs/2506.08316 (2025) - [i8]Alan Nawzad Amin, Andres Potapczynski, Andrew Gordon Wilson:
Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra. CoRR abs/2506.19598 (2025) - [i7]Sebastian W. Ober, Calvin McCarter, Aniruddh Raghu, Yucen Lily Li, Alan Nawzad Amin, Andrew Gordon Wilson, Hunter Elliott:
Is Sequence Information All You Need for Bayesian Optimization of Antibodies? CoRR abs/2509.24933 (2025) - [i6]Pierre Glaser, Steffanie Paul, Alissa M. Hummer, Charlotte M. Deane, Debora S. Marks, Alan Nawzad Amin:
Kernel-Based Evaluation of Conditional Biological Sequence Models. CoRR abs/2510.15601 (2025) - [i5]Ethan Baron, Alan Nawzad Amin, Ruben Weitzman, Debora S. Marks, Andrew Gordon Wilson:
A Diffusion Model to Shrink Proteins While Maintaining Their Function. CoRR abs/2511.07390 (2025) - [i4]Nuria Alina Chandra, Yucen Lily Li, Alan Nawzad Amin, Alex Ali, Joshua Rollins, Sebastian W. Ober, Aniruddh Raghu, Andrew Gordon Wilson:
A Unification of Discrete, Gaussian, and Simplicial Diffusion. CoRR abs/2512.15923 (2025) - 2024
- [c6]Alan Nawzad Amin, Andrew Gordon Wilson:
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency. ICML 2024: 1331-1358 - [c5]Pierre Glaser, Steffanie Paul, Alissa M. Hummer, Charlotte M. Deane, Debora Susan Marks, Alan Nawzad Amin:
Kernel-Based Evaluation of Conditional Biological Sequence Models. ICML 2024: 15678-15705 - [i3]Alan Nawzad Amin, Andrew Gordon Wilson:
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency. CoRR abs/2406.09177 (2024) - [i2]Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson:
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences. CoRR abs/2412.07763 (2024) - 2023
- [c4]Alan Nawzad Amin, Eli N. Weinstein, Debora Susan Marks:
A Kernelized Stein Discrepancy for Biological Sequences. ICML 2023: 718-767 - [i1]Alan Nawzad Amin, Eli Nathan Weinstein, Debora Susan Marks:
Biological Sequence Kernels with Guaranteed Flexibility. CoRR abs/2304.03775 (2023) - 2022
- [c3]Eli N. Weinstein, Alan Nawzad Amin, Will S. Grathwohl, Daniel Kassler, Jean Disset, Debora S. Marks:
Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models. AISTATS 2022: 7450-7482 - [c2]Eli N. Weinstein, Alan Nawzad Amin, Jonathan Frazer, Debora S. Marks:
Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness. NeurIPS 2022 - 2021
- [c1]Alan Nawzad Amin, Eli N. Weinstein, Debora S. Marks:
A generative nonparametric Bayesian model for whole genomes. NeurIPS 2021: 27798-27812
Coauthor Index
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