Amin, Alan Nawzad

14 publications

ICLR 2026 A Diffusion Model to Shrink Proteins While Maintaining Their Function Ethan Baron, Alan Nawzad Amin, Ruben Weitzman, Simon d'Oelsnitz, Debora Susan Marks, Andrew Gordon Wilson

ICLR 2026 A Unification of Discrete, Gaussian, and Simplicial Diffusion Nuria Alina Chandra, Yucen Lily Li, Alan Nawzad Amin, Alex Ali, Joshua Rollins, Sebastian W. Ober, Aniruddh Raghu, Andrew Gordon Wilson

ICLR 2025 Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson

ICLRW 2025 Flexible Models of Functional Annotations to Variant Effects Using Accelerated Linear Algebra Alan Nawzad Amin, Andres Potapczynski, Andrew Gordon Wilson

ICLRW 2025 Residue-Level Text Conditioning for Protein Language Model Mutation Effect Prediction Dan Berenberg, Nate Gruver, Alan Nawzad Amin, Peter Mørch Groth, Leo Chen, Harsh R. Srivastava, Pascal Notin, Debora Susan Marks, Andrew Gordon Wilson, Kyunghyun Cho, Richard Bonneau

ICML 2025 Training Flexible Models of Genetic Variant Effects from Functional Annotations Using Accelerated Linear Algebra Alan Nawzad Amin, Andres Potapczynski, Andrew Gordon Wilson

NeurIPS 2025 Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion Alan Nawzad Amin, Nate Gruver, Andrew Gordon Wilson

ICLRW 2025 Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion Alan Nawzad Amin, Nate Gruver, Andrew Gordon Wilson

NeurIPSW 2024 Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences Alan Nawzad Amin, Nate Gruver, Yucen Lily Li, Yilun Kuang, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson

ICML 2024 Kernel-Based Evaluation of Conditional Biological Sequence Models Pierre Glaser, Steffanie Paul, Alissa M Hummer, Charlotte Deane, Debora Susan Marks, Alan Nawzad Amin

ICML 2024 Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency Alan Nawzad Amin, Andrew Gordon Wilson

ICML 2023 A Kernelized Stein Discrepancy for Biological Sequences Alan Nawzad Amin, Eli N Weinstein, Debora Susan Marks

NeurIPSW 2022 Designing Proteins Using Sparse Data Ada Shaw, Jung-Eun Shin, Nicole Nisha Thadani, Alan Nawzad Amin, Debora Susan Marks

NeurIPSW 2022 Kernelized Stein Discrepancies for Biological Sequences Alan Nawzad Amin, Eli N Weinstein, Debora Susan Marks