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Ava P. Amini
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2020 – today
- 2024
- [c4]Francesca-Zhoufan Li, Ava P. Amini, Yisong Yue, Kevin K. Yang, Alex Xijie Lu:
Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models. ICML 2024 - 2023
- [j2]Ava P. Amini, Kevin K. Yang:
From noise to protein with image models. Nat. Comput. Sci. 3(5): 366-367 (2023) - [j1]Carolina Rios-Martinez, Nicholas Bhattacharya, Ava P. Amini, Lorin Crawford, Kevin K. Yang:
Deep self-supervised learning for biosynthetic gene cluster detection and product classification. PLoS Comput. Biol. 19(5) (2023) - [i5]Taylor W. Killian, Haoran Zhang, Thomas Hartvigsen, Ava P. Amini:
Continuous Time Evidential Distributions for Irregular Time Series. CoRR abs/2307.13503 (2023) - 2022
- [i4]Kevin E. Wu, Kevin K. Yang, Rianne van den Berg, James Y. Zou, Alex X. Lu, Ava P. Amini:
Protein structure generation via folding diffusion. CoRR abs/2209.15611 (2022) - 2020
- [c3]Alexander Amini, Wilko Schwarting, Ava Soleimany, Daniela Rus:
Deep Evidential Regression. NeurIPS 2020
2010 – 2019
- 2019
- [c2]Alexander Amini, Ava P. Soleimany, Wilko Schwarting, Sangeeta N. Bhatia, Daniela Rus:
Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure. AIES 2019: 289-295 - [i3]Alexander Amini, Wilko Schwarting, Ava Soleimany, Daniela Rus:
Deep Evidential Regression. CoRR abs/1910.02600 (2019) - [i2]Ava P. Soleimany, Harini Suresh, Jose Javier Gonzalez Ortiz, Divya Shanmugam, Nil Gural, John V. Guttag, Sangeeta N. Bhatia:
Image segmentation of liver stage malaria infection with spatial uncertainty sampling. CoRR abs/1912.00262 (2019) - 2018
- [i1]Alexander Amini, Ava Soleimany, Sertac Karaman, Daniela Rus:
Spatial Uncertainty Sampling for End-to-End Control. CoRR abs/1805.04829 (2018) - 2013
- [c1]Ava Amini, David W. Birnbaum, Bernard Black, David A. Hyman:
Public Reporting of Hospital Infection Rates: Ranking the States on Credibility and User Friendliness. ITCH 2013: 87-92
Coauthor Index
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last updated on 2024-10-17 20:25 CEST by the dblp team
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