Alan Nawzad Amin

18 papers A* 7A 1Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Diffusion Model to Shrink Proteins While Maintaining Their Function.
CoRR
Ethan Baron, Alan Nawzad Amin, Ruben Weitzman, Debora S. Marks, Andrew Gordon Wilson
2025 J jnl
A Unification of Discrete, Gaussian, and Simplicial Diffusion.
CoRR
Nuria Alina Chandra, Yucen Lily Li, Alan Nawzad Amin, Alex Ali, Joshua Rollins, Sebastian W. Ober, Aniruddh Raghu, Andrew Gordon Wilson
2025 A* conf
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences.
ICLR
Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson
2025 J jnl
Biological Sequence Kernels with Guaranteed Flexibility.
J. Mach. Learn. Res.
Alan Nawzad Amin, Debora S. Marks, Eli N. Weinstein
2025 J jnl
Is Sequence Information All You Need for Bayesian Optimization of Antibodies?
CoRR
Sebastian W. Ober, Calvin McCarter, Aniruddh Raghu, Yucen Lily Li, Alan Nawzad Amin, Andrew Gordon Wilson, Hunter Elliott
2025 J jnl
Kernel-Based Evaluation of Conditional Biological Sequence Models.
CoRR
Pierre Glaser, Steffanie Paul, Alissa M. Hummer, Charlotte M. Deane, Debora S. Marks, Alan Nawzad Amin
2025 A* conf
Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra.
ICML
Alan Nawzad Amin, Andres Potapczynski, Andrew Gordon Wilson
2025 J jnl
Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra.
CoRR
Alan Nawzad Amin, Andres Potapczynski, Andrew Gordon Wilson
2025 J jnl
Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion.
CoRR
Alan Nawzad Amin, Nate Gruver, Andrew Gordon Wilson
2024 J jnl
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences.
CoRR
Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson
2024 A* conf
Kernel-Based Evaluation of Conditional Biological Sequence Models.
ICML
Pierre Glaser, Steffanie Paul, Alissa M. Hummer, Charlotte M. Deane, Debora Susan Marks, Alan Nawzad Amin
2024 A* conf
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency.
ICML
Alan Nawzad Amin, Andrew Gordon Wilson
2024 J jnl
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency.
CoRR
Alan Nawzad Amin, Andrew Gordon Wilson
2023 A* conf
A Kernelized Stein Discrepancy for Biological Sequences.
ICML
Alan Nawzad Amin, Eli N. Weinstein, Debora Susan Marks
2023 J jnl
Biological Sequence Kernels with Guaranteed Flexibility.
CoRR
Alan Nawzad Amin, Eli Nathan Weinstein, Debora Susan Marks
2022 A* conf
Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness.
NeurIPS
Eli N. Weinstein, Alan Nawzad Amin, Jonathan Frazer, Debora S. Marks
2022 A conf
Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models.
AISTATS
Eli N. Weinstein, Alan Nawzad Amin, Will S. Grathwohl, Daniel Kassler, Jean Disset, Debora S. Marks
2021 A* conf
A generative nonparametric Bayesian model for whole genomes.
NeurIPS
Alan Nawzad Amin, Eli N. Weinstein, Debora S. Marks