Ava P. Amini

According to our database, Ava P. Amini authored at least 17 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Improving atlas-scale single-cell annotation models with hierarchical cross-entropy loss.

Sebastiano Cultrera di Montesano, Davide D'Ascenzo, Srivatsan Raghavan, Ava P. Amini, Peter S. Winter, Lorin Crawford

Nat. Comput. Sci., March, 2026

Trainable subnetworks reveal insights into structure knowledge organization in protein language models.

Ria Vinod, Ava P. Amini, Lorin Crawford, Kevin K. Yang

PLoS Comput. Biol., 2026

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, April, 2025

Benchmarking uncertainty quantification for protein engineering.

Kevin P. Greenman, Ava P. Amini, Kevin K. Yang

PLoS Comput. Biol., 2025

ProtNote: a multimodal method for protein-function annotation.

Samir Char, Nathaniel Corley, Sarah Alamdari, Kevin K. Yang, Ava P. Amini

Bioinform., 2025

scGeneScope: A Treatment-Matched Single Cell Imaging and Transcriptomics Dataset and Benchmark for Treatment Response Modeling.

Joel Dapello, Marcel Nassar, Ridvan Eksi, Ban Wang, Jules Gagnon-Marchand, Kenneth T. Gao, Akram Baharlouei, Kyra Thrush, Nina Riehs, Amy Peterson, Aniket A. Tolpadi, Abhejit Rajagopal, Henry Miller, Ashley Conard, David Alvarez-Melis, Rory Stark, Simone Bianco, Morgan Levine, Ava Amini, Alex X. Lu, Nicolò Fusi, Ravi Pandya, Valentina Pedoia, Hana El-Samad

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

From noise to protein with image models.

Ava P. Amini, Kevin K. Yang

Nat. Comput. Sci., 2023

Continuous Time Evidential Distributions for Irregular Time Series.

Taylor W. Killian, Haoran Zhang, Thomas Hartvigsen, Ava P. Amini

CoRR, 2023

2022

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

2020

Deep Evidential Regression.

Alexander Amini, Wilko Schwarting, Ava Soleimany, Daniela Rus

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure.

Alexander Amini, Ava P. Soleimany, Wilko Schwarting, Sangeeta N. Bhatia, Daniela Rus

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Spatial Uncertainty Sampling for End-to-End Control.

Alexander Amini, Ava Soleimany, Sertac Karaman, Daniela Rus

CoRR, 2018

2013

Public Reporting of Hospital Infection Rates: Ranking the States on Credibility and User Friendliness.

Ava Amini, David W. Birnbaum, Bernard Black, David A. Hyman

Proceedings of the Enabling Health and Healthcare through ICT, 2013