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ORCIDAmirali Aghazadeh
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2020 – today
- 2024
[i10]Darin Tsui, Amirali Aghazadeh:
On Recovering Higher-order Interactions from Protein Language Models. CoRR abs/2405.06645 (2024)- [i9]Darin Tsui, Aryan Musharaf, Amirali Aghazadeh:
SHAP zero Explains All-order Feature Interactions in Black-box Genomic Models with Near-zero Query Cost. CoRR abs/2410.19236 (2024) - 2023
- [j3]Amirali Aghazadeh, Nived Rajaraman, Tony Tu, Kannan Ramchandran:
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces. Trans. Mach. Learn. Res. 2023 (2023) - [c6]Yigit Efe Erginbas, Justin Singh Kang, Amirali Aghazadeh, Kannan Ramchandran:
Efficiently Computing Sparse Fourier Transforms of q-ary Functions. ISIT 2023: 513-518 - [i8]Yigit Efe Erginbas, Justin Singh Kang, Amirali Aghazadeh, Kannan Ramchandran:
Efficiently Computing Sparse Fourier Transforms of q-ary Functions. CoRR abs/2301.06200 (2023) - [i7]Tony Tu, Gautham Krishna, Amirali Aghazadeh:
ProtiGeno: a prokaryotic short gene finder using protein language models. CoRR abs/2307.10343 (2023) - 2022
- [i6]Amirali Aghazadeh, Nived Rajaraman, Tony Tu, Kannan Ramchandran:
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces. CoRR abs/2210.02604 (2022) - 2021
- [c5]Amirali Aghazadeh, Vipul Gupta, Alex DeWeese, Onur Ozan Koyluoglu, Kannan Ramchandran:
BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory. MSML 2021: 75-92 - [i5]Farzan Farnia, Amirali Aghazadeh, James Zou, David Tse:
Group-Structured Adversarial Training. CoRR abs/2106.10324 (2021) - 2020
- [j2]Amirali Aghazadeh
, Orhan Ocal, Kannan Ramchandran:
CRISPRL and: Interpretable large-scale inference of DNA repair landscape based on a spectral approach. Bioinform. 36(Supplement-1): i560-i568 (2020) - [i4]Amirali Aghazadeh, Vipul Gupta, Alex DeWeese, Onur Ozan Koyluoglu, Kannan Ramchandran:
BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory. CoRR abs/2010.13829 (2020)
2010 – 2019
- 2018
- [j1]Amirali Aghazadeh, Mohammad Golbabaee, Andrew S. Lan, Richard G. Baraniuk:
Insense: Incoherent sensor selection for sparse signals. Signal Process. 150: 57-65 (2018) - [c4]Amirali Aghazadeh, Mohammad Golbabaee, Andrew S. Lan, Richard G. Baraniuk:
Insense: Incoherent Sensor Selection for Sparse Signals. ICASSP 2018: 4689-4693 - [c3]Amirali Aghazadeh, Ryan Spring, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk:
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches. ICML 2018: 80-88 - [i3]Amirali Aghazadeh, Ryan Spring, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk:
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches. CoRR abs/1806.04310 (2018) - 2017
- [c2]Amirali Aghazadeh, Andrew S. Lan, Anshumali Shrivastava, Richard G. Baraniuk:
RHash: Robust Hashing via L_infinity-norm Distortion. IJCAI 2017: 1386-1394 - [i2]Amirali Aghazadeh, Mohammad Golbabaee, Andrew S. Lan, Richard G. Baraniuk:
Insense: Incoherent Sensor Selection for Sparse Signals. CoRR abs/1702.07670 (2017) - 2016
- [i1]Amirali Aghazadeh, Andrew S. Lan, Anshumali Shrivastava, Richard G. Baraniuk:
Near-Isometric Binary Hashing for Large-scale Datasets. CoRR abs/1603.03836 (2016) - 2013
- [c1]Amirali Aghazadeh, Ali Ayremlou, Daniel D. Calderon, Tom Goldstein, Raajen Patel, Divyanshu Vats, Richard G. Baraniuk:
Adaptive step size selection for optimization via the ski rental problem. ICASSP 2013: 5383-5387
Coauthor Index
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