Arda Sahiner

Arda Sahiner

Stanford University

H-index: 6

North America-United States

About Arda Sahiner

Arda Sahiner, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Stanford University, specializes in the field of machine learning, theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Scaling Convex Neural Networks with Burer-Monteiro Factorization

Convex Neural Networks

Gleam: greedy learning for large-scale accelerated MRI reconstruction

Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers

Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction

Fast convex optimization for two-layer relu networks: Equivalent model classes and cone decompositions

Hidden convexity of wasserstein gans: Interpretable generative models with closed-form solutions

Demystifying batch normalization in relu networks: Equivalent convex optimization models and implicit regularization

Arda Sahiner Information

University

Position

___

Citations(all)

160

Citations(since 2020)

160

Cited By

5

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Arda Sahiner Skills & Research Interests

machine learning

theory

Top articles of Arda Sahiner

Scaling Convex Neural Networks with Burer-Monteiro Factorization

2023/10/13

Convex Neural Networks

2023

Gleam: greedy learning for large-scale accelerated MRI reconstruction

arXiv preprint arXiv:2207.08393

2022/7/18

Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers

2022/6/28

Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction

2022/9/17

Fast convex optimization for two-layer relu networks: Equivalent model classes and cone decompositions

2022

Hidden convexity of wasserstein gans: Interpretable generative models with closed-form solutions

arXiv preprint arXiv:2107.05680

2021/7/12

Demystifying batch normalization in relu networks: Equivalent convex optimization models and implicit regularization

arXiv preprint arXiv:2103.01499

2021/3/2

Greedy learning for large-scale neural MRI reconstruction

2021/10/19

Vector-output relu neural network problems are copositive programs: Convex analysis of two layer networks and polynomial-time algorithms

arXiv preprint arXiv:2012.13329

2020/12/24

Convex regularization behind neural reconstruction

arXiv preprint arXiv:2012.05169

2020/12/9

See List of Professors in Arda Sahiner University(Stanford University)

Co-Authors

academic-engine