Amirali Aghazadeh

According to our database, Amirali Aghazadeh authored at least 19 papers between 2013 and 2026.

Collaborative distances:

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

2026

Protein Circuit Tracing via Cross-layer Transcoders.

Darin Tsui, Kunal Talreja, Daniel Saeedi, Amirali Aghazadeh

CoRR, February, 2026

2025

SpecMER: Fast Protein Generation with K-mer Guided Speculative Decoding.

Thomas Walton, Darin Tsui, Aryan Musharaf, Amirali Aghazadeh

CoRR, September, 2025

Sparse Autoencoders for Low-<i>N</i> Protein Function Prediction and Design.

Darin Tsui, Kunal Talreja, Amirali Aghazadeh

CoRR, August, 2025

AstroAgents: A Multi-Agent AI for Hypothesis Generation from Mass Spectrometry Data.

Daniel Saeedi, Denise Buckner, Jose C. Aponte, Amirali Aghazadeh

CoRR, March, 2025

GOLF: A Generative AI Framework for Pathogenicity Prediction of Myocilin OLF Variants.

Thomas Walton, Darin Tsui, Amirali Aghazadeh, Raquel Lieberman, Lauren Fogel, Rafael Chagas, Dustin Huard

Proceedings of the 20th Machine Learning in Computational Biology (MLCB), 2025

Efficient Algorithm for Sparse Fourier Transform of Generalized q-ary Functions.

Darin Tsui, Kunal Talreja, Amirali Aghazadeh

Proceedings of the IEEE Information Theory Workshop, 2025

2024

SHAP zero Explains All-order Feature Interactions in Black-box Genomic Models with Near-zero Query Cost.

Darin Tsui, Aryan Musharaf, Amirali Aghazadeh

CoRR, 2024

On Recovering Higher-order Interactions from Protein Language Models.

Darin Tsui, Amirali Aghazadeh

CoRR, 2024

2023

Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces.

Amirali Aghazadeh, Nived Rajaraman, Tony Tu, Kannan Ramchandran

Trans. Mach. Learn. Res., 2023

ProtiGeno: a prokaryotic short gene finder using protein language models.

Tony Tu, Gautham Krishna, Amirali Aghazadeh

CoRR, 2023

Efficiently Computing Sparse Fourier Transforms of q-ary Functions.

Yigit Efe Erginbas, Justin Singh Kang, Amirali Aghazadeh, Kannan Ramchandran

Proceedings of the IEEE International Symposium on Information Theory, 2023

2021

Group-Structured Adversarial Training.

Farzan Farnia, Amirali Aghazadeh, James Zou, David Tse

CoRR, 2021

BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory.

Amirali Aghazadeh, Vipul Gupta, Alex DeWeese, Onur Ozan Koyluoglu, Kannan Ramchandran

Proceedings of the Mathematical and Scientific Machine Learning, 2021

2020

CRISPRL and: Interpretable large-scale inference of DNA repair landscape based on a spectral approach.

Amirali Aghazadeh, Orhan Ocal, Kannan Ramchandran

Bioinform., 2020

2018

MISSION: Ultra Large-Scale Feature Selection using Count-Sketches.

Amirali Aghazadeh, Ryan Spring, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk

Proceedings of the 35th International Conference on Machine Learning, 2018

Insense: Incoherent Sensor Selection for Sparse Signals.

Amirali Aghazadeh, Mohammad Golbabaee, Andrew S. Lan, Richard G. Baraniuk

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

RHash: Robust Hashing via L_infinity-norm Distortion.

Amirali Aghazadeh, Andrew S. Lan, Anshumali Shrivastava, Richard G. Baraniuk

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Near-Isometric Binary Hashing for Large-scale Datasets.

Amirali Aghazadeh, Andrew S. Lan, Anshumali Shrivastava, Richard G. Baraniuk

CoRR, 2016

2013

Adaptive step size selection for optimization via the ski rental problem.

Amirali Aghazadeh, Ali Ayremlou, Daniel D. Calderon, Tom Goldstein, Raajen Patel, Divyanshu Vats, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2013