Mojtaba Sahraee-Ardakan

According to our database1, Mojtaba Sahraee-Ardakan authored at least 22 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
The Geometry of Noise: Why Diffusion Models Don't Need Noise Conditioning.
CoRR, February, 2026

2025
Learning from a Generative Oracle: Domain Adaptation for Restoration.
CoRR, December, 2025

Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2022
Estimation and Inference in High-dimensional Models
PhD thesis, 2022

Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions.
CoRR, 2022

2021
Asymptotics of Ridge Regression in Convolutional Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

Implicit Bias of Linear RNNs.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Inference With Deep Generative Priors in High Dimensions.
IEEE J. Sel. Areas Inf. Theory, 2020

Generalized Autoregressive Linear Models for Discrete High-Dimensional Data.
IEEE J. Sel. Areas Inf. Theory, 2020

Low-Rank Nonlinear Decoding of $μ$-ECoG from the Primary Auditory Cortex.
CoRR, 2020

Inference in Multi-Layer Networks with Matrix-Valued Unknowns.
CoRR, 2020

Matrix Inference and Estimation in Multi-Layer Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Generalization Error of Generalized Linear Models in High Dimensions.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence.
CoRR, 2019

Input-Output Equivalence of Unitary and Contractive RNNs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Asymptotics of MAP Inference in Deep Networks.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Sparse Multivariate Bernoulli Processes in High Dimensions.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017
Joint Dictionary Learning for Example-based Image Super-resolution.
CoRR, 2017

Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Estimation and learning of Dynamic Nonlinear Networks (DyNNets).
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Expectation consistent approximate inference: Generalizations and convergence.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2014
A study on clustering-based image denoising: From global clustering to local grouping.
Proceedings of the 22nd European Signal Processing Conference, 2014


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