Public Reporting of Hospital Infection Rates: Ranking the States on Credibility and User Friendliness. - Ava Amini; David W. Birnbaum; Bernard Black; David A. Hyman (ITCH, 2013)

Spatial Uncertainty Sampling for End-to-End Control. - Alexander Amini; Ava Soleimany; Sertac Karaman; Daniela Rus (CoRR, 2018)

Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure. - Alexander Amini; Ava P. Soleimany; Wilko Schwarting; Sangeeta N. Bhatia; Daniela Rus (AIES, 2019)

Image segmentation of liver stage malaria infection with spatial uncertainty sampling. - Ava P. Soleimany; Harini Suresh; Jose Javier Gonzalez Ortiz; Divya Shanmugam; Nil Gural; John V. Guttag; Sangeeta N. Bhatia (CoRR, 2019)

Deep Evidential Regression. - Alexander Amini; Wilko Schwarting; Ava Soleimany; Daniela Rus (NeurIPS, 2020)

Protein structure generation via folding diffusion. - Kevin E. Wu; Kevin K. Yang; Rianne van den Berg; James Y. Zou; Alex X. Lu; Ava P. Amini (CoRR, 2022)

Continuous Time Evidential Distributions for Irregular Time Series. - Taylor W. Killian; Haoran Zhang 003; Thomas Hartvigsen; Ava P. Amini (CoRR, 2023)

From noise to protein with image models. - Ava P. Amini; Kevin K. Yang (Nat. Comput. Sci., 2023)

Deep self-supervised learning for biosynthetic gene cluster detection and product classification. - Carolina Rios-Martinez; Nicholas Bhattacharya; Ava P. Amini; Lorin Crawford; Kevin K. Yang (PLoS Comput. Biol., 2023)

Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models. - Francesca-Zhoufan Li; Ava P. Amini; Yisong Yue; Kevin K. Yang; Alex Xijie Lu (ICML, 2024)

Deeper evaluation of a single-cell foundation model. - Rebecca Boiarsky; Nalini M. Singh; Alejandro Buendia; Ava P. Amini; Gad Getz; David A. Sontag (Nat. Mac. Intell., 2024)

Benchmarking uncertainty quantification for protein engineering. - Kevin P. Greenman; Ava P. Amini; Kevin K. Yang (PLoS Comput. Biol., 2025)

Causal integration of chemical structures improves representations of microscopy images for morphological profiling. - Yemin Yu; Neil A. Tenenholtz; Lester Mackey; Ying Wei; David Alvarez-Melis; Ava P. Amini; Alex X. Lu (CoRR, 2025)