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Asgharian, Masoud
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1

Assessing Influential Observations in Pain Prediction using..:

Zhang, Dongliang ; Asgharian, Masoud ; Lindquist, Martin A
http://arxiv.org/abs/2401.13208.  , 2024
Link: http://arxiv.org/abs/240..
 
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2

Mitigating Outlier Activations in Low-Precision Fine-Tuning..:

Ghaffari, Alireza ; Yu, Justin ; Nejad, Mahsa Ghazvini...
http://arxiv.org/abs/2312.09211.  , 2023
Link: http://arxiv.org/abs/231..
 
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3

Statistical Hardware Design With Multi-model Active Learnin:

Ghaffari, Alireza ; Asgharian, Masoud ; Savaria, Yvon
http://arxiv.org/abs/2303.08054.  , 2023
Link: http://arxiv.org/abs/230..
 
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4

Mathematical Challenges in Deep Learning:

Nia, Vahid Partovi ; Zhang, Guojun ; Kobyzev, Ivan...
http://arxiv.org/abs/2303.15464.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

On the Convergence of Stochastic Gradient Descent in Low-pr..:

Cacciola, Matteo ; Frangioni, Antonio ; Asgharian, Masoud..
http://arxiv.org/abs/2301.01651.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

On the convergence of stochastic gradient descent in low-pr..:

Cacciola, Matteo ; Frangioni, Antonio ; Asgharian, Masoud..
https://publications.polymtl.ca/54349/1/2023_Cacciola_Convergence_Stochastic_Gradient_Descent_Low-Precision.pdf.  , 2023
Link: https://publications.pol..
 
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7

Uniform confidence bands for hazard functions from censored..:

Shariati, Ali ; Doosti, Hassan ; Fakoor, Vahid.
Shariati , A , Doosti , H , Fakoor , V & Asgharian , M 2023 , ' Uniform confidence bands for hazard functions from censored prevalent cohort survival data ' , Electronic Journal of Statistics , vol. 17 , no. 2 , pp. 1807-1847 . https://doi.org/10.1214/23-EJS2133.  , 2023
Link: https://researchers.mq.e..
 
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8

A nonparametric test for equality of survival medians using..:

McVittie, James Hugh ; Asgharian, Masoud
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703384/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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9

Potential health benefits of eliminating traffic emissions ..:

Heydari, Shahram ; Asgharian, Masoud ; Kelly, Frank J.
https://eprints.soton.ac.uk/455848/1/pm25Health_plosone_R1_250122_clean.docx.  , 2022
Link: https://eprints.soton.ac..
 
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10

Training Integer-Only Deep Recurrent Neural Networks:

Nia, Vahid Partovi ; Sari, Eyyüb ; Courville, Vanessa.
http://arxiv.org/abs/2212.11791.  , 2022
Link: http://arxiv.org/abs/221..
 
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11

EuclidNets: An Alternative Operation for Efficient Inferenc..:

Li, Xinlin ; Parazeres, Mariana ; Oberman, Adam...
http://arxiv.org/abs/2212.11803.  , 2022
Link: http://arxiv.org/abs/221..
 
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12

Towards Fine-tuning Pre-trained Language Models with Intege..:

Tayaranian, Mohammadreza ; Ghaffari, Alireza ; Tahaei, Marzieh S...
http://arxiv.org/abs/2209.09815.  , 2022
Link: http://arxiv.org/abs/220..
 
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13

Is Integer Arithmetic Enough for Deep Learning Training?:

Ghaffari, Alireza ; Tahaei, Marzieh S ; Tayaranian, Mohammadreza..
http://arxiv.org/abs/2207.08822.  , 2022
Link: http://arxiv.org/abs/220..
 
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14

A causal direction test for heterogeneous populations:

Partovi Nia, Vahid ; Xin-lin, LI ; Asgharian, Masoud.
https://publications.polymtl.ca/54332/1/2022_Partovi_Nia_Causal_direction_test_heterogeneous_populations.pdf.  , 2022
Link: https://publications.pol..
 
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15

A semiparametric regression under biased sampling and rando..:

Rabhi, Yassir ; Asgharian, Masoud
http://repository.essex.ac.uk/28659/1/cjs.11580.pdf.  , 2021
Link: http://repository.essex...
 
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