Current progress and open challenges for applying deep learning across the biosciences N Sapoval*, A Aghazadeh*, MG Nute, DA Antunes, A Balaji, R Baraniuk, ...
Nature Communications 13 (1), 1728, 2022
267 2022 Large dataset enables prediction of repair after CRISPR–Cas9 editing in primary T cells RT Leenay*, A Aghazadeh*, J Hiatt*, D Tse, TL Roth, R Apathy, E Shifrut, ...
Nature Biotechnology 37 (9), 1034-1037, 2019
135 2019 Data-driven semi-supervised and supervised learning algorithms for health monitoring D Sen, A Aghazadeh, A Mousavi, S Nagarajaiah, R Baraniuk, A Dabak
Mechanical Systems and Signal Processing 131, 524-537, 2019
90 2019 Anomalous nanoparticle surface diffusion in LCTEM is revealed by deep learning-assisted analysis V Jamali, C Hargus, A Ben-Moshe, A Aghazadeh, HD Ha, KK Mandadapu, ...
Proceedings of the National Academy of Sciences 118 (10), e2017616118, 2021
55 2021 On the sparsity of fitness functions and implications for learning DH Brookes, A Aghazadeh, J Listgarten
Proceedings of the National Academy of Sciences 119 (1), e2109649118, 2022
50 2022 Epistatic Net allows the sparse spectral regularization of deep neural networks for inferring fitness functions A Aghazadeh, H Nisonoff, O Ocal, DH Brookes, Y Huang, OO Koyluoglu, ...
Nature communications 12 (1), 5225, 2021
49 * 2021 MISSION: Ultra Large-scale Feature Selection using Count-Sketches A Aghazadeh, R Spring, D LeJeune, G Dasarathy, A Shrivastava, ...
International Conference on Machine Learning Research 80, 80-88, 2018
45 2018 Sparsity-based approaches for damage detection in plates D Sen, A Aghazadeh, A Mousavi, S Nagarajaiah, R Baraniuk
Mechanical Systems and Signal Processing 117, 333-346, 2019
41 2019 Universal microbial diagnostics using random DNA probes A Aghazadeh, AY Lin, MA Sheikh, AL Chen, LM Atkins, CL Johnson, ...
Science advances 2 (9), e1600025, 2016
22 2016 CRISPRL and : Interpretable large-scale inference of DNA repair landscape based on a spectral approach A Aghazadeh, O Ocal, K Ramchandran
Bioinformatics 36 (Supplement_1), i560-i568, 2020
11 2020 Insense: Incoherent sensor selection for sparse signals A Aghazadeh, M Golbabaee, A Lan, R Baraniuk
Signal Processing 150, 57-65, 2018
10 2018 Efficiently Computing Sparse Fourier Transforms of YE Erginbas, JS Kang, A Aghazadeh, K Ramchandran
IEEE International Symposium on Information Theory (ISIT), 2023
6 2023 RHash: Robust hashing via l∞-norm distortion A Aghazadeh, A Lan, A Shrivastava, R Baraniuk
Proceedings of the 26th International Joint Conference on Artificial …, 2017
5 2017 Universal microbial diagnostics using random DNA probes RA Drezek, RG Baraniuk, A Aghazadeh, M Sheikh, P BUGGA
US Patent 11,104,964, 2021
3 2021 BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory A Amirali, V Gupta, A DeWeese, OO Koyluoglu, K Ramchandran
Proceedings of Machine Learning Research vol 107: 1–18, 2021 2nd Annual …, 2021
2 * 2021 Adaptive step size selection for optimization via the ski rental problem A Aghazadeh, A Ayremlou, DD Calderón, T Goldstein, R Patel, D Vats, ...
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
2 2013 On Recovering Higher-order Interactions from Protein Language Models D Tsui, A Aghazadeh
International Conference on Learning Representations (ICLR) 2024 Workshop on …, 2024
1 2024 ProtiGeno: a prokaryotic short gene finder using protein language models T Tu, G Krishna, A Aghazadeh
International Conference on Machine Learning Research (ICML) Workshop on …, 2023
1 2023 Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces A Aghazadeh, N Rajaraman, T Tu, K Ramchandran
Transactions on Machine Learning Research (TMLR), 2022
1 2022 Efficient Algorithm for Sparse Fourier Transform of Generalized q-ary Functions D Tsui, K Talreja, A Aghazadeh
arXiv preprint arXiv:2501.12365, 2025
2025 
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityOverená e-mailová adresa na: rice.edu
